{ "labelLang" : "hun", "responseDate" : "2024-03-29 07:02", "content" : { "otype" : "JournalArticle", "mtid" : 31926688, "status" : "VALIDATED", "published" : true, "comment" : "Funding Agency and Grant Number: Singapore University of Technology and Design Startup Research Grant [SRG SCI 2019 142]\n Funding text: We thank the three anonymous reviewers and editors for generously aiding us in enhancing the presentation of our work. This work is supported by the Singapore University of Technology and Design Startup Research Grant (SRG SCI 2019 142) .", "unhandledTickets" : 0, "deleted" : false, "lastRefresh" : "2023-10-18T09:06:54.447+0000", "lastModified" : "2023-03-07T14:20:07.634+0000", "created" : "2021-03-22T14:40:37.380+0000", "creator" : { "otype" : "Author", "mtid" : 10031815, "link" : "/api/author/10031815", "label" : "Fülöp Ágnes (informatika)", "familyName" : "Fülöp", "givenName" : "Ágnes", "published" : true, "oldId" : 10031815, "snippet" : true }, "lastDuplumSearch" : "2023-10-18T09:06:40.521+0000", "validated" : "2023-03-07T14:20:08.265+0000", "validator" : { "otype" : "Admin", "mtid" : 10014559, "link" : "/api/admin/10014559", "label" : "Bolgár Andrea (MFA admin 4)", "familyName" : "Bolgár", "givenName" : "Andrea", "published" : true, "oldId" : 10014559, "snippet" : true }, "core" : false, "citation" : true, "publicationPending" : false, "type" : { "otype" : "PublicationType", "mtid" : 24, "link" : "/api/publicationtype/24", "label" : "Folyóiratcikk", "code" : 24, "otypeName" : "JournalArticle", "listPosition" : 1, "published" : true, "oldId" : 24, "snippet" : true }, "subType" : { "otype" : "SubType", "mtid" : 1134514, "link" : "/api/subtype/1134514", "label" : "Összefoglaló cikk (Folyóiratcikk)", "name" : "Összefoglaló cikk", "nameEng" : "Survey paper", "docType" : { "otype" : "PublicationType", "mtid" : 24, "link" : "/api/publicationtype/24", "label" : "Folyóiratcikk", "code" : 24, "otypeName" : "JournalArticle", "listPosition" : 1, "published" : true, "oldId" : 24, "snippet" : true }, "listPosition" : 102, "published" : true, "oldId" : 1134514, "snippet" : true }, "category" : { "otype" : "Category", "mtid" : 1, "link" : "/api/category/1", "label" : "Tudományos", "published" : true, "oldId" : 1, "snippet" : true }, "languages" : [ { "otype" : "Language", "mtid" : 10002, "link" : "/api/language/10002", "label" : "Angol", "name" : "Angol", "nameEng" : "English", "published" : true, "oldId" : 2, "snippet" : true } ], "firstAuthor" : "Wen, Tao", "authorships" : [ { "otype" : "PersonAuthorship", "mtid" : 95760379, "link" : "/api/authorship/95760379", "label" : "Wen, Tao", "listPosition" : 1, "share" : 0.0, "first" : true, "last" : false, "corresponding" : false, "familyName" : "Wen", "givenName" : "Tao", "authorTyped" : true, "editorTyped" : false, "otherTyped" : false, "type" : { "otype" : "AuthorshipType", "mtid" : 1, "link" : "/api/authorshiptype/1", "label" : "Szerző", "code" : 0, "published" : true, "oldId" : 0, "snippet" : true }, "published" : false, "snippet" : true }, { "otype" : "PersonAuthorship", "mtid" : 95760380, "link" : "/api/authorship/95760380", "label" : "Cheong, Kang Hao", "listPosition" : 2, "share" : 0.0, "first" : false, "last" : true, "corresponding" : false, "familyName" : "Cheong", "givenName" : "Kang Hao", "authorTyped" : true, "editorTyped" : false, "otherTyped" : false, "type" : { "otype" : "AuthorshipType", "mtid" : 1, "link" : "/api/authorshiptype/1", "label" : "Szerző", "code" : 0, "published" : true, "oldId" : 0, "snippet" : true }, "published" : false, "snippet" : true } ], "title" : "The fractal dimension of complex networks: A review", "identifiers" : [ { "otype" : "PublicationIdentifier", "mtid" : 18554026, "link" : "/api/publicationidentifier/18554026", "label" : "DOI: 10.1016/j.inffus.2021.02.001", "source" : { "otype" : "PlainSource", "mtid" : 6, "link" : "/api/publicationsource/6", "label" : "DOI", "type" : { "otype" : "PublicationSourceType", "mtid" : 10001, "link" : "/api/publicationsourcetype/10001", "label" : "DOI", "mayHaveOa" : true, "published" : true, "snippet" : true }, "name" : "DOI", "nameEng" : "DOI", "linkPattern" : "https://doi.org/@@@", "publiclyVisible" : true, "published" : true, "oldId" : 6, "snippet" : true }, "validState" : "IDENTICAL", "idValue" : "10.1016/j.inffus.2021.02.001", "realUrl" : "https://doi.org/10.1016/j.inffus.2021.02.001", "published" : false, "snippet" : true }, { "otype" : "PublicationIdentifier", "mtid" : 19698566, "link" : "/api/publicationidentifier/19698566", "label" : "WoS: 000651146500005", "source" : { "otype" : "PlainSource", "mtid" : 1, "link" : "/api/publicationsource/1", "label" : "WoS", "type" : { "otype" : "PublicationSourceType", "mtid" : 10003, "link" : "/api/publicationsourcetype/10003", "label" : "Indexelő adatbázis", "mayHaveOa" : false, "published" : true, "snippet" : true }, "name" : "WoS", "nameEng" : "WoS", "linkPattern" : "https://www.webofscience.com/wos/woscc/full-record/@@@", "publiclyVisible" : true, "published" : true, "oldId" : 1, "snippet" : true }, "validState" : "IDENTICAL", "idValue" : "000651146500005", "realUrl" : "https://www.webofscience.com/wos/woscc/full-record/000651146500005", "published" : false, "snippet" : true }, { "otype" : "PublicationIdentifier", "mtid" : 18554028, "link" : "/api/publicationidentifier/18554028", "label" : "Scopus: 85102448984", "source" : { "otype" : "PlainSource", "mtid" : 3, "link" : "/api/publicationsource/3", "label" : "Scopus", "type" : { "otype" : "PublicationSourceType", "mtid" : 10003, "link" : "/api/publicationsourcetype/10003", "label" : "Indexelő adatbázis", "mayHaveOa" : false, "published" : true, "snippet" : true }, "name" : "Scopus", "linkPattern" : "http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@", "publiclyVisible" : true, "published" : true, "oldId" : 3, "snippet" : true }, "validState" : "IDENTICAL", "idValue" : "85102448984", "realUrl" : "http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85102448984", "published" : false, "snippet" : true }, { "otype" : "PublicationIdentifier", "mtid" : 18554027, "link" : "/api/publicationidentifier/18554027", "label" : "Egyéb URL: https://linkinghub.elsevier.com/retrieve/pii/S1566253521000166", "source" : { "otype" : "PlainSource", "mtid" : 40, "link" : "/api/publicationsource/40", "label" : "Egyéb URL", "type" : { "otype" : "PublicationSourceType", "mtid" : 10006, "link" : "/api/publicationsourcetype/10006", "label" : "Link", "mayHaveOa" : true, "published" : true, "snippet" : true }, "name" : "Egyéb URL", "nameEng" : "Other URL", "linkPattern" : "@@@", "publiclyVisible" : true, "published" : true, "oldId" : 40, "snippet" : true }, "idValue" : "https://linkinghub.elsevier.com/retrieve/pii/S1566253521000166", "realUrl" : "https://linkinghub.elsevier.com/retrieve/pii/S1566253521000166", "published" : false, "snippet" : true } ], "journal" : { "otype" : "Journal", "mtid" : 10009602, "link" : "/api/journal/10009602", "label" : "INFORMATION FUSION 1566-2535 1872-6305", "pIssn" : "1566-2535", "eIssn" : "1872-6305", "reviewType" : "REVIEWED", "noIF" : false, "sciIndexed" : true, "scopusIndexed" : true, "hungarian" : false, "published" : true, "oldId" : 10009602, "snippet" : true }, "volume" : "73", "firstPage" : "87", "lastPage" : "102", "firstPageOrInternalIdForSort" : "87", "pageLength" : 16, "publishedYear" : 2021, "digital" : null, "printed" : true, "sourceYear" : 2021, "foreignEdition" : true, "foreignLanguage" : true, "fullPublication" : true, "conferencePublication" : false, "nationalOrigin" : false, "missingAuthor" : false, "oaType" : "NONE", "oaCheckDate" : "2023-10-18", "oaFree" : false, "citationCount" : 0, "citationCountUnpublished" : 0, "citationCountWoOther" : 0, "independentCitCountWoOther" : 0, "doiCitationCount" : 0, "wosCitationCount" : 0, "scopusCitationCount" : 0, "independentCitationCount" : 0, "unhandledCitationCount" : 0, "citingPubCount" : 0, "independentCitingPubCount" : 0, "unhandledCitingPubCount" : 0, "citedPubCount" : 4, "citedCount" : 4, "ratings" : [ { "otype" : "SjrRating", "mtid" : 11205969, "link" : "/api/sjrrating/11205969", "label" : "sjr:D1 (2021) Scopus - Hardware and Architecture INFORMATION FUSION 1566-2535", "listPos" : 2, "rankValue" : 0.1, "type" : "journal", "ratingType" : { "otype" : "RatingType", "mtid" : 10002, "link" : "/api/ratingtype/10002", "label" : "sjr", "code" : "sjr", "published" : true, "snippet" : true }, "subject" : { "otype" : "ClassificationExternal", "mtid" : 1708, "link" : "/api/classificationexternal/1708", "label" : "Scopus - Hardware and Architecture", "published" : true, "oldId" : 1708, "snippet" : true }, "ranking" : "D1", "calculation" : "DIRECT", "published" : true, "snippet" : true } ], "ratingsForSort" : "D1", "references" : [ { "otype" : "Reference", "mtid" : 19187777, "link" : "/api/reference/19187777", "label" : "1. Newman 2018", "listPosition" : 1, "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187778, "link" : "/api/reference/19187778", "label" : "2. Newman 2003: The structure and function of complex networks, SIAM Rev., 45, p. 167, DOI: 10.1137/S003614450342480", "listPosition" : 2, "doi" : "10.1137/S003614450342480", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187779, "link" : "/api/reference/19187779", "label" : "3. Xiao 2020: Managing classification-based consensus in social network group decision making: An optimization-based approach with minimum information loss, Inf. Fusion, 63, p. 74, DOI: 10.1016/j.inffus.2020.05.008", "listPosition" : 3, "doi" : "10.1016/j.inffus.2020.05.008", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187780, "link" : "/api/reference/19187780", "label" : "4. Du 2019: A trust-similarity analysis-based clustering method for large-scale group decision-making under a social network, Inf. Fusion, 63, p. 13, DOI: 10.1016/j.inffus.2020.05.004", "listPosition" : 4, "doi" : "10.1016/j.inffus.2020.05.004", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187781, "link" : "/api/reference/19187781", "label" : "5. Cheng 2020: Reaching a minimum adjustment consensus in social network group decision-making, Inf. Fusion, 59, p. 30, DOI: 10.1016/j.inffus.2020.01.004", "listPosition" : 5, "doi" : "10.1016/j.inffus.2020.01.004", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187782, "link" : "/api/reference/19187782", "label" : "6. Cheong 2020: Relieving cost of epidemic by Parrondo’s paradox: A COVID-19 case study, Adv. Sci., DOI: 10.1002/advs.202002324", "listPosition" : 6, "doi" : "10.1002/advs.202002324", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187783, "link" : "/api/reference/19187783", "label" : "7. Wang 2019: Progressive information polarization in a complex-network entropic social dynamics model, IEEE Access, 7, p. 35394, DOI: 10.1109/ACCESS.2019.2902400", "listPosition" : 7, "doi" : "10.1109/ACCESS.2019.2902400", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187784, "link" : "/api/reference/19187784", "label" : "8. Chen 2020: The introduction of population migration to SEIAR for COVID-19 epidemic modeling with an efficient intervention strategy, Inf. Fusion, 64, p. 252, DOI: 10.1016/j.inffus.2020.08.002", "listPosition" : 8, "doi" : "10.1016/j.inffus.2020.08.002", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187785, "link" : "/api/reference/19187785", "label" : "9. Wei 2020: Fully distributed synchronization of dynamic networked systems with adaptive nonlinear couplings, IEEE Trans. Cybern., 50, p. 2926, DOI: 10.1109/TCYB.2019.2944971", "listPosition" : 9, "doi" : "10.1109/TCYB.2019.2944971", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187786, "link" : "/api/reference/19187786", "label" : "10. Arenas 2008: Synchronization in complex networks, Phys. Rep., 469, p. 93, DOI: 10.1016/j.physrep.2008.09.002", "listPosition" : 10, "doi" : "10.1016/j.physrep.2008.09.002", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187787, "link" : "/api/reference/19187787", "label" : "11. Wei 2020: Synchronization in Kuramoto oscillator networks with sampled-data updating law, IEEE Trans. Cybern., 50, p. 2380, DOI: 10.1109/TCYB.2019.2940987", "listPosition" : 11, "doi" : "10.1109/TCYB.2019.2940987", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187788, "link" : "/api/reference/19187788", "label" : "12. Tan 2020: Predator dormancy is a stable adaptive strategy due to Parrondo’s paradox, Adv. Sci., 7, DOI: 10.1002/advs.201901559", "listPosition" : 12, "doi" : "10.1002/advs.201901559", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187789, "link" : "/api/reference/19187789", "label" : "13. Tan 2017: Nomadic-colonial life strategies enable paradoxical survival and growth despite habitat destruction, Elife, 6, DOI: 10.7554/eLife.21673", "listPosition" : 13, "doi" : "10.7554/eLife.21673", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187790, "link" : "/api/reference/19187790", "label" : "14. Tan 2019: Periodic habitat destruction and migration can paradoxically enable sustainable territorial expansion, Nonlinear Dynam., 98, p. 1, DOI: 10.1007/s11071-019-05094-3", "listPosition" : 14, "doi" : "10.1007/s11071-019-05094-3", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187791, "link" : "/api/reference/19187791", "label" : "15. Alsaadi 2020: Recursive fusion estimation for stochastic discrete time-varying complex networks under stochastic communication protocol: The state-saturated case, Inf. Fusion, 60, p. 11, DOI: 10.1016/j.inffus.2020.01.012", "listPosition" : 15, "doi" : "10.1016/j.inffus.2020.01.012", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187792, "link" : "/api/reference/19187792", "label" : "16. Liu 2019: A partial-nodes-based information fusion approach to state estimation for discrete-time delayed stochastic complex networks, Inf. Fusion, 49, p. 240, DOI: 10.1016/j.inffus.2018.12.011", "listPosition" : 16, "doi" : "10.1016/j.inffus.2018.12.011", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187793, "link" : "/api/reference/19187793", "label" : "17. Lai 2020: Multi-level information fusion to alleviate network congestion, Inf. Fusion, 63, p. 248, DOI: 10.1016/j.inffus.2020.06.006", "listPosition" : 17, "doi" : "10.1016/j.inffus.2020.06.006", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187794, "link" : "/api/reference/19187794", "label" : "18. Deng 2020: Uncertainty measure in evidence theory, Sci. China Inform. Sci., 64", "listPosition" : 18, "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187795, "link" : "/api/reference/19187795", "label" : "19. Xiao 2019: Multi-sensor data fusion based on the belief divergence measure of evidences and the belief entropy, Inf. Fusion, 46, p. 23, DOI: 10.1016/j.inffus.2018.04.003", "listPosition" : 19, "doi" : "10.1016/j.inffus.2018.04.003", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187796, "link" : "/api/reference/19187796", "label" : "20. Lai 2020: Parrondo’s paradox from classical to quantum: A review, Nonlinear Dynam., p. 1, DOI: 10.1007/s11071-020-05738-9", "listPosition" : 20, "doi" : "10.1007/s11071-020-05738-9", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187797, "link" : "/api/reference/19187797", "label" : "21. Lai 2020: Social dynamics and Parrondo’s paradox: a narrative review, Nonlinear Dynam., p. 1, DOI: 10.1007/s11071-020-05738-9", "listPosition" : 21, "doi" : "10.1007/s11071-020-05738-9", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187798, "link" : "/api/reference/19187798", "label" : "22. Ye 2020: Passive network evolution promotes group welfare in complex networks, Chaos Solitons Fractals, 130, DOI: 10.1016/j.chaos.2019.109464", "listPosition" : 22, "doi" : "10.1016/j.chaos.2019.109464", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187799, "link" : "/api/reference/19187799", "label" : "23. Ye 2016: Effects of behavioral patterns and network topology structures on Parrondo’s paradox, Sci. Rep., 6, p. 1, DOI: 10.1038/srep37028", "listPosition" : 23, "doi" : "10.1038/srep37028", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187800, "link" : "/api/reference/19187800", "label" : "24. Khan 2019: Multi-channel fusion convolutional neural network to classify syntactic anomaly from language-related ERP components, Inf. Fusion, 52, p. 53, DOI: 10.1016/j.inffus.2018.10.008", "listPosition" : 24, "doi" : "10.1016/j.inffus.2018.10.008", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187801, "link" : "/api/reference/19187801", "label" : "25. Amin-Naji 2019: Ensemble of CNN for multi-focus image fusion, Information fusion, 51, p. 201, DOI: 10.1016/j.inffus.2019.02.003", "listPosition" : 25, "doi" : "10.1016/j.inffus.2019.02.003", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187802, "link" : "/api/reference/19187802", "label" : "26. Jiang 2020: A novel Z-network model based on Bayesian network and Z-number, IEEE Trans. Fuzzy Syst., 28, p. 1585, DOI: 10.1109/TFUZZ.2019.2918999", "listPosition" : 26, "doi" : "10.1109/TFUZZ.2019.2918999", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187803, "link" : "/api/reference/19187803", "label" : "27. Cao 2019: Pedestrian detection with unsupervised multispectral feature learning using deep neural networks, Inf. Fusion, 46, p. 206, DOI: 10.1016/j.inffus.2018.06.005", "listPosition" : 27, "doi" : "10.1016/j.inffus.2018.06.005", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187804, "link" : "/api/reference/19187804", "label" : "28. Broido 2019: Scale-free networks are rare, Nature Commun., 10, p. 1, DOI: 10.1038/s41467-019-08746-5", "listPosition" : 28, "doi" : "10.1038/s41467-019-08746-5", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187805, "link" : "/api/reference/19187805", "label" : "29. Yang 2020: Controlling the multifractal generating measures of complex networks, Sci. Rep., 10, p. 1", "listPosition" : 29, "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187806, "link" : "/api/reference/19187806", "label" : "30. Watts 1998: Collective dynamics of ‘small-world’ networks, Nature, 393, p. 440, DOI: 10.1038/30918", "listPosition" : 30, "doi" : "10.1038/30918", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187807, "link" : "/api/reference/19187807", "label" : "31. Barabási 1999: Emergence of scaling in random networks, Science, 286, p. 509, DOI: 10.1126/science.286.5439.509", "listPosition" : 31, "doi" : "10.1126/science.286.5439.509", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187808, "link" : "/api/reference/19187808", "label" : "32. Song 2005: Self-similarity of complex networks, Nature, 433, p. 392, DOI: 10.1038/nature03248", "listPosition" : 32, "doi" : "10.1038/nature03248", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187809, "link" : "/api/reference/19187809", "label" : "33. Huang 2019: Survey on fractality in complex networks, p. 675", "listPosition" : 33, "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187810, "link" : "/api/reference/19187810", "label" : "34. Gallos 2007: A review of fractality and self-similarity in complex networks, Physica A, 386, p. 686, DOI: 10.1016/j.physa.2007.07.069", "listPosition" : 34, "doi" : "10.1016/j.physa.2007.07.069", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187811, "link" : "/api/reference/19187811", "label" : "35. Molontay 2015: Fractal characterization of complex networks, Report", "listPosition" : 35, "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187812, "link" : "/api/reference/19187812", "label" : "36. Song 2007: How to calculate the fractal dimension of a complex network: the box covering algorithm, J. Stat. Mech. Theory Exp., 2007, p. P03006, DOI: 10.1088/1742-5468/2007/03/P03006", "listPosition" : 36, "doi" : "10.1088/1742-5468/2007/03/P03006", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187813, "link" : "/api/reference/19187813", "label" : "37. Wei 2013: Box-covering algorithm for fractal dimension of weighted networks, Sci. Rep., 3, p. 1, DOI: 10.1038/srep03049", "listPosition" : 37, "doi" : "10.1038/srep03049", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187814, "link" : "/api/reference/19187814", "label" : "38. Wu 2017: A multiobjective box-covering algorithm for fractal modularity on complex networks, Appl. Soft Comput., 61, p. 294, DOI: 10.1016/j.asoc.2017.07.034", "listPosition" : 38, "doi" : "10.1016/j.asoc.2017.07.034", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187815, "link" : "/api/reference/19187815", "label" : "39. Wei 2019: Sampling-based box-covering algorithm for renormalization of networks, Chaos, 29, DOI: 10.1063/1.5093174", "listPosition" : 39, "doi" : "10.1063/1.5093174", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187816, "link" : "/api/reference/19187816", "label" : "40. Rosenberg 2017: Minimal partition coverings and generalized dimensions of a complex network, Phys. Lett. A, 381, p. 1659, DOI: 10.1016/j.physleta.2017.03.004", "listPosition" : 40, "doi" : "10.1016/j.physleta.2017.03.004", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187817, "link" : "/api/reference/19187817", "label" : "41. Schneider 2012: Box-covering algorithm for fractal dimension of complex networks, Phys. Rev. E, 86, DOI: 10.1103/PhysRevE.86.016707", "listPosition" : 41, "doi" : "10.1103/PhysRevE.86.016707", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187818, "link" : "/api/reference/19187818", "label" : "42. Li 2011: Dimension of spatially embedded networks, Nat. Phys., 7, p. 481, DOI: 10.1038/nphys1932", "listPosition" : 42, "doi" : "10.1038/nphys1932", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187819, "link" : "/api/reference/19187819", "label" : "43. Ramirez-Arellano 2020: Fractional information dimensions of complex networks, Chaos, 30, DOI: 10.1063/5.0018268", "listPosition" : 43, "doi" : "10.1063/5.0018268", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187820, "link" : "/api/reference/19187820", "label" : "44. Cohen 2004: Fractal dimensions of percolating networks, Physica A, 336, p. 6, DOI: 10.1016/j.physa.2004.01.005", "listPosition" : 44, "doi" : "10.1016/j.physa.2004.01.005", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187821, "link" : "/api/reference/19187821", "label" : "45. Zhang 2014: Fuzzy fractal dimension of complex networks, Appl. Soft Comput., 25, p. 514, DOI: 10.1016/j.asoc.2014.08.019", "listPosition" : 45, "doi" : "10.1016/j.asoc.2014.08.019", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187822, "link" : "/api/reference/19187822", "label" : "46. Silva 2012", "listPosition" : 46, "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187823, "link" : "/api/reference/19187823", "label" : "47. Gou 2016: Topological vulnerability evaluation model based on fractal dimension of complex networks, PLoS One, 11, DOI: 10.1371/journal.pone.0146896", "listPosition" : 47, "doi" : "10.1371/journal.pone.0146896", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187824, "link" : "/api/reference/19187824", "label" : "48. Wen 2019: Node similarity measuring in complex networks with relative entropy, Commun. Nonlinear Sci. Numer. Simul., 78, DOI: 10.1016/j.cnsns.2019.104867", "listPosition" : 48, "doi" : "10.1016/j.cnsns.2019.104867", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187825, "link" : "/api/reference/19187825", "label" : "49. Pu 2014: Identifying influential nodes based on local dimension, Europhys. Lett., 107, p. 10010, DOI: 10.1209/0295-5075/107/10010", "listPosition" : 49, "doi" : "10.1209/0295-5075/107/10010", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187826, "link" : "/api/reference/19187826", "label" : "50. Wen 2020: Vital spreaders identification in complex networks with multi-local dimension, Knowl.-Based Syst., 195, DOI: 10.1016/j.knosys.2020.105717", "listPosition" : 50, "doi" : "10.1016/j.knosys.2020.105717", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187827, "link" : "/api/reference/19187827", "label" : "51. Wang 2017: A rumor spreading model based on information entropy, Sci. Rep., 7, p. 1", "listPosition" : 51, "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187828, "link" : "/api/reference/19187828", "label" : "52. Block 2020: Social network-based distancing strategies to flatten the COVID-19 curve in a post-lockdown world, Nat. Hum. Behav., p. 1", "listPosition" : 52, "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187829, "link" : "/api/reference/19187829", "label" : "53. Rosenberg 2020", "listPosition" : 53, "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187830, "link" : "/api/reference/19187830", "label" : "54. Rosenberg 2018", "listPosition" : 54, "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187831, "link" : "/api/reference/19187831", "label" : "55. Mandelbrot 1967: How long is the coast of Britain? Statistical self-similarity and fractional dimension, Science, 156, p. 636, DOI: 10.1126/science.156.3775.636", "listPosition" : 55, "doi" : "10.1126/science.156.3775.636", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187832, "link" : "/api/reference/19187832", "label" : "56. Hausdorff 1918: Dimension und äußeres Maß, Math. Ann., 79, p. 157, DOI: 10.1007/BF01457179", "listPosition" : 56, "doi" : "10.1007/BF01457179", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187833, "link" : "/api/reference/19187833", "label" : "57. Komjáthy 2019: Transfinite fractal dimension of trees and hierarchical scale-free graphs, J. Complex Netw., 7, p. 764, DOI: 10.1093/comnet/cnz005", "listPosition" : 57, "doi" : "10.1093/comnet/cnz005", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187834, "link" : "/api/reference/19187834", "label" : "58. Clauset 2009: Power-law distributions in empirical data, SIAM Rev., 51, p. 661, DOI: 10.1137/070710111", "listPosition" : 58, "doi" : "10.1137/070710111", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187835, "link" : "/api/reference/19187835", "label" : "59. H. Zhang, Study of fractal dimension of complex networks, Report (2014)., DOI: 10.1016/j.asoc.2014.08.019", "listPosition" : 59, "doi" : "10.1016/j.asoc.2014.08.019", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187836, "link" : "/api/reference/19187836", "label" : "60. Tél 1989: Determination of fractal dimensions for geometrical multifractals, Physica A, 159, p. 155, DOI: 10.1016/0378-4371(89)90563-3", "listPosition" : 60, "doi" : "10.1016/0378-4371(89)90563-3", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187837, "link" : "/api/reference/19187837", "label" : "61. Liu 2015: Determination of multifractal dimensions of complex networks by means of the sandbox algorithm, Chaos, 25, DOI: 10.1063/1.4907557", "listPosition" : 61, "doi" : "10.1063/1.4907557", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187838, "link" : "/api/reference/19187838", "label" : "62. Sun 2014: Overlapping-box-covering method for the fractal dimension of complex networks, Phys. Rev. E, 89, DOI: 10.1103/PhysRevE.89.042809", "listPosition" : 62, "doi" : "10.1103/PhysRevE.89.042809", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187839, "link" : "/api/reference/19187839", "label" : "63. Niu 2020: Outside-in box covering method and information dimension of Sierpinski networks, Modern Phys. Lett. B, DOI: 10.1142/S0217984920501894", "listPosition" : 63, "doi" : "10.1142/S0217984920501894", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187840, "link" : "/api/reference/19187840", "label" : "64. Zhang 2016: Modeling the self-similarity in complex networks based on Coulomb’s law, Commun. Nonlinear Sci. Numer. Simul., 35, p. 97, DOI: 10.1016/j.cnsns.2015.10.017", "listPosition" : 64, "doi" : "10.1016/j.cnsns.2015.10.017", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187841, "link" : "/api/reference/19187841", "label" : "65. Pedrycz 2003: Fuzzy fractal dimensions and fuzzy modeling, Inform. Sci., 153, p. 199, DOI: 10.1016/S0020-0255(03)00075-6", "listPosition" : 65, "doi" : "10.1016/S0020-0255(03)00075-6", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187842, "link" : "/api/reference/19187842", "label" : "66. Guo 2009: The fractal dimensions of complex networks, Chin. Phys. Lett., 26", "listPosition" : 66, "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187843, "link" : "/api/reference/19187843", "label" : "67. Ramirez-Arellano 2019: D-summable fractal dimensions of complex networks, Chaos Solitons Fractals, 119, p. 210, DOI: 10.1016/j.chaos.2018.12.026", "listPosition" : 67, "doi" : "10.1016/j.chaos.2018.12.026", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187844, "link" : "/api/reference/19187844", "label" : "68. Wei 2014: A new information dimension of complex networks, Phys. Lett. A, 378, p. 1091, DOI: 10.1016/j.physleta.2014.02.010", "listPosition" : 68, "doi" : "10.1016/j.physleta.2014.02.010", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187845, "link" : "/api/reference/19187845", "label" : "69. Wen 2018: An information dimension of weighted complex networks, Physica A, 501, p. 388, DOI: 10.1016/j.physa.2018.02.067", "listPosition" : 69, "doi" : "10.1016/j.physa.2018.02.067", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187846, "link" : "/api/reference/19187846", "label" : "70. Rosenberg 2017: Maximal entropy coverings and the information dimension of a complex network, Phys. Lett. A, 381, p. 574, DOI: 10.1016/j.physleta.2016.12.015", "listPosition" : 70, "doi" : "10.1016/j.physleta.2016.12.015", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187847, "link" : "/api/reference/19187847", "label" : "71. Zhang 2015: Tsallis information dimension of complex networks, Physica A, 419, p. 707, DOI: 10.1016/j.physa.2014.10.071", "listPosition" : 71, "doi" : "10.1016/j.physa.2014.10.071", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187848, "link" : "/api/reference/19187848", "label" : "72. Babajanyan 2020: Energy and entropy: Path from game theory to statistical mechanics, Phys. Rev. Res., 2, DOI: 10.1103/PhysRevResearch.2.043055", "listPosition" : 72, "doi" : "10.1103/PhysRevResearch.2.043055", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187849, "link" : "/api/reference/19187849", "label" : "73. Abe 2002: Stability of Tsallis entropy and instabilities of Rényi and normalized Tsallis entropies: A basis for q-exponential distributions, Phys. Rev. E, 66, DOI: 10.1103/PhysRevE.66.046134", "listPosition" : 73, "doi" : "10.1103/PhysRevE.66.046134", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187850, "link" : "/api/reference/19187850", "label" : "74. Duan 2019: A new information dimension of complex network based on Rényi entropy, Physica A, 516, p. 529, DOI: 10.1016/j.physa.2018.10.045", "listPosition" : 74, "doi" : "10.1016/j.physa.2018.10.045", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187851, "link" : "/api/reference/19187851", "label" : "75. Ramirez-Arellano 2020: A box-covering Tsallis information dimension and non-extensive property of complex networks, Chaos Solitons Fractals, 132, DOI: 10.1016/j.chaos.2019.109590", "listPosition" : 75, "doi" : "10.1016/j.chaos.2019.109590", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187852, "link" : "/api/reference/19187852", "label" : "76. Wei 2014: A generalized volume dimension of complex networks, J. Stat. Mech. Theory Exp., 2014, p. P10039, DOI: 10.1088/1742-5468/2014/10/P10039", "listPosition" : 76, "doi" : "10.1088/1742-5468/2014/10/P10039", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187853, "link" : "/api/reference/19187853", "label" : "77. Lacasa 2013: Correlation dimension of complex networks, Phys. Rev. Lett., 110, DOI: 10.1103/PhysRevLett.110.168703", "listPosition" : 77, "doi" : "10.1103/PhysRevLett.110.168703", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187854, "link" : "/api/reference/19187854", "label" : "78. Wei 2019: A cluster-growing dimension of complex networks: From the view of node closeness centrality, Physica A, 522, p. 80, DOI: 10.1016/j.physa.2019.01.125", "listPosition" : 78, "doi" : "10.1016/j.physa.2019.01.125", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187855, "link" : "/api/reference/19187855", "label" : "79. Shanker 2007: Graph zeta function and dimension of complex network, Modern Phys. Lett. B, 21, p. 639, DOI: 10.1142/S0217984907013146", "listPosition" : 79, "doi" : "10.1142/S0217984907013146", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187856, "link" : "/api/reference/19187856", "label" : "80. Grassberger 1983: Characterization of strange attractors, Phys. Rev. Lett., 50, p. 346, DOI: 10.1103/PhysRevLett.50.346", "listPosition" : 80, "doi" : "10.1103/PhysRevLett.50.346", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187857, "link" : "/api/reference/19187857", "label" : "81. Rozenfeld 2007: Fractal and transfractal recursive scale-free nets, New J. Phys., 9, p. 175, DOI: 10.1088/1367-2630/9/6/175", "listPosition" : 81, "doi" : "10.1088/1367-2630/9/6/175", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187858, "link" : "/api/reference/19187858", "label" : "82. Rozenfeld 2009: Fractal and transfractal scale-free networks, p. 3924", "listPosition" : 82, "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187859, "link" : "/api/reference/19187859", "label" : "83. Wei 2016: Multifractality of weighted complex networks, Chinese J. Phys., 54, p. 416, DOI: 10.1016/j.cjph.2016.05.004", "listPosition" : 83, "doi" : "10.1016/j.cjph.2016.05.004", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187860, "link" : "/api/reference/19187860", "label" : "84. Wen 2019: Identifying influential nodes based on fuzzy local dimension in complex networks, Chaos Solitons Fractals, 119, p. 332, DOI: 10.1016/j.chaos.2019.01.011", "listPosition" : 84, "doi" : "10.1016/j.chaos.2019.01.011", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187861, "link" : "/api/reference/19187861", "label" : "85. Wen 2020: Identification of influencers in complex networks by local information dimensionality, Inform. Sci., 512, p. 549, DOI: 10.1016/j.ins.2019.10.003", "listPosition" : 85, "doi" : "10.1016/j.ins.2019.10.003", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187862, "link" : "/api/reference/19187862", "label" : "86. Liu 2017: Fractal and multifractal analyses of bipartite networks, Sci. Rep., 7, p. 45588, DOI: 10.1038/srep45588", "listPosition" : 86, "doi" : "10.1038/srep45588", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187863, "link" : "/api/reference/19187863", "label" : "87. Dan-Ling 2012: Multifractal analysis of complex networks, Chin. Phys. B, 21", "listPosition" : 87, "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187864, "link" : "/api/reference/19187864", "label" : "88. Pavón-Domínguez 2020: A Fixed-Mass multifractal approach for unweighted complex networks, Physica A, 541, DOI: 10.1016/j.physa.2019.123670", "listPosition" : 88, "doi" : "10.1016/j.physa.2019.123670", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187865, "link" : "/api/reference/19187865", "label" : "89. Rosenberg 2017: Non-monotonicity of the generalized dimensions of a complex network, Phys. Lett. A, 381, p. 2222, DOI: 10.1016/j.physleta.2017.05.014", "listPosition" : 89, "doi" : "10.1016/j.physleta.2017.05.014", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187866, "link" : "/api/reference/19187866", "label" : "90. Li 2014: Fractal and multifractal properties of a family of fractal networks, J. Stat. Mech. Theory Exp., 2014, p. P02020, DOI: 10.1088/1742-5468/2014/02/P02020", "listPosition" : 90, "doi" : "10.1088/1742-5468/2014/02/P02020", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187867, "link" : "/api/reference/19187867", "label" : "91. Rosenberg 2018: Generalized Hausdorff dimensions of a complex network, Physica A, 511, p. 1, DOI: 10.1016/j.physa.2018.06.121", "listPosition" : 91, "doi" : "10.1016/j.physa.2018.06.121", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187868, "link" : "/api/reference/19187868", "label" : "92. Zheng 2019: Multifractal analysis of weighted complex networks based on degree volume dimension, IEEE Access, 7, p. 68522, DOI: 10.1109/ACCESS.2019.2917884", "listPosition" : 92, "doi" : "10.1109/ACCESS.2019.2917884", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187869, "link" : "/api/reference/19187869", "label" : "93. Xue 2017: Reliable multi-fractal characterization of weighted complex networks: algorithms and implications, Sci. Rep., 7, p. 1, DOI: 10.1038/s41598-017-07209-5", "listPosition" : 93, "doi" : "10.1038/s41598-017-07209-5", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187870, "link" : "/api/reference/19187870", "label" : "94. Rabbani 2020: Memory effects on link formation in temporal networks: A fractional calculus approach, Physica A, 564", "listPosition" : 94, "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187871, "link" : "/api/reference/19187871", "label" : "95. Ureña 2020: DeciTrustNET: A graph based trust and reputation framework for social networks, Inf. Fusion, 61, p. 101, DOI: 10.1016/j.inffus.2020.03.006", "listPosition" : 95, "doi" : "10.1016/j.inffus.2020.03.006", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187872, "link" : "/api/reference/19187872", "label" : "96. Camacho 2020: The four dimensions of social network analysis: An overview of research methods, applications, and software tools, Inf. Fusion, 63, p. 88, DOI: 10.1016/j.inffus.2020.05.009", "listPosition" : 96, "doi" : "10.1016/j.inffus.2020.05.009", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187873, "link" : "/api/reference/19187873", "label" : "97. Wen 2020: The vulnerability of communities in complex networks: An entropy approach, Reliab. Eng. Syst. Saf., 196, DOI: 10.1016/j.ress.2019.106782", "listPosition" : 97, "doi" : "10.1016/j.ress.2019.106782", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187874, "link" : "/api/reference/19187874", "label" : "98. Chu 2020: Social network community analysis based large-scale group decision making approach with incomplete fuzzy preference relations, Inf. Fusion, 60, p. 98, DOI: 10.1016/j.inffus.2020.02.005", "listPosition" : 98, "doi" : "10.1016/j.inffus.2020.02.005", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187875, "link" : "/api/reference/19187875", "label" : "99. Zheng 2016: Fractal analysis of mobile social networks, Chin. Phys. Lett., 33, DOI: 10.1088/0256-307X/33/3/038901", "listPosition" : 99, "doi" : "10.1088/0256-307X/33/3/038901", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187876, "link" : "/api/reference/19187876", "label" : "100. Guiñazú 2020: Employing online social networks in precision-medicine approach using information fusion predictive model to improve substance use surveillance: A lesson from Twitter and marijuana consumption, Inf. Fusion, 55, p. 150, DOI: 10.1016/j.inffus.2019.08.006", "listPosition" : 100, "doi" : "10.1016/j.inffus.2019.08.006", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187877, "link" : "/api/reference/19187877", "label" : "101. Cauteruccio 2019: Short-long term anomaly detection in wireless sensor networks based on machine learning and multi-parameterized edit distance, Inf. Fusion, 52, p. 13, DOI: 10.1016/j.inffus.2018.11.010", "listPosition" : 101, "doi" : "10.1016/j.inffus.2018.11.010", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187878, "link" : "/api/reference/19187878", "label" : "102. Jiang 2019: An attack-defense game based reliability analysis approach for wireless sensor networks, Int. J. Distrib. Sens. Netw., 15, DOI: 10.1177/1550147719841293", "listPosition" : 102, "doi" : "10.1177/1550147719841293", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187879, "link" : "/api/reference/19187879", "label" : "103. Kumar 2019: Machine learning algorithms for wireless sensor networks: A survey, Inf. Fusion, 49, p. 1, DOI: 10.1016/j.inffus.2018.09.013", "listPosition" : 103, "doi" : "10.1016/j.inffus.2018.09.013", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187880, "link" : "/api/reference/19187880", "label" : "104. Deng 2019: Data fusion based coverage optimization in heterogeneous sensor networks: A survey, Inf. Fusion, 52, p. 90, DOI: 10.1016/j.inffus.2018.11.020", "listPosition" : 104, "doi" : "10.1016/j.inffus.2018.11.020", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187881, "link" : "/api/reference/19187881", "label" : "105. Saeedian 2019: Emergence of world-stock-market network, Physica A, 526, DOI: 10.1016/j.physa.2019.04.028", "listPosition" : 105, "doi" : "10.1016/j.physa.2019.04.028", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187882, "link" : "/api/reference/19187882", "label" : "106. Wang 2020: Predicting and ranking box office revenue of movies based on big data, Inf. Fusion, 60, p. 25, DOI: 10.1016/j.inffus.2020.02.002", "listPosition" : 106, "doi" : "10.1016/j.inffus.2020.02.002", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187883, "link" : "/api/reference/19187883", "label" : "107. Rodrigues 2019: Combining time-series and textual data for taxi demand prediction in event areas: A deep learning approach, Inf. Fusion, 49, p. 120, DOI: 10.1016/j.inffus.2018.07.007", "listPosition" : 107, "doi" : "10.1016/j.inffus.2018.07.007", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187884, "link" : "/api/reference/19187884", "label" : "108. Zhang 2018: Resilience-based network design under uncertainty, Reliab. Eng. Syst. Saf., 169, p. 364, DOI: 10.1016/j.ress.2017.09.009", "listPosition" : 108, "doi" : "10.1016/j.ress.2017.09.009", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187885, "link" : "/api/reference/19187885", "label" : "109. Buldyrev 2010: Catastrophic cascade of failures in interdependent networks, Nature, 464, p. 1025, DOI: 10.1038/nature08932", "listPosition" : 109, "doi" : "10.1038/nature08932", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187886, "link" : "/api/reference/19187886", "label" : "110. Zhang 2019: Network reconfiguration for increasing transportation system resilience under extreme events, Risk Anal., 39, p. 2054, DOI: 10.1111/risa.13320", "listPosition" : 110, "doi" : "10.1111/risa.13320", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187887, "link" : "/api/reference/19187887", "label" : "111. Li 2019: Exploring the vulnerability of fractal complex networks through connection pattern and fractal dimension, Fractals, 27, DOI: 10.1142/S0218348X19501020", "listPosition" : 111, "doi" : "10.1142/S0218348X19501020", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187888, "link" : "/api/reference/19187888", "label" : "112. Di Nardo 2018: Complex network and fractal theory for the assessment of water distribution network resilience to pipe failures, Water Sci. Technol. Water Supply, 18, p. 767, DOI: 10.2166/ws.2017.124", "listPosition" : 112, "doi" : "10.2166/ws.2017.124", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187889, "link" : "/api/reference/19187889", "label" : "113. de la Torre 2017: Fractal and multifractal analysis of complex networks: Estonian network of payments, Eur. Phys. J. B, 90, p. 1", "listPosition" : 113, "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187890, "link" : "/api/reference/19187890", "label" : "114. Dai 2017: The modified box dimension and average weighted receiving time of the weighted hierarchical graph, Physica A, 475, p. 46, DOI: 10.1016/j.physa.2017.02.006", "listPosition" : 114, "doi" : "10.1016/j.physa.2017.02.006", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187891, "link" : "/api/reference/19187891", "label" : "115. Wu 2019: On the correlation between fractal dimension and robustness of complex networks, Fractals, 27, DOI: 10.1142/S0218348X19500671", "listPosition" : 115, "doi" : "10.1142/S0218348X19500671", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187892, "link" : "/api/reference/19187892", "label" : "116. Wen 2019: Measuring the complexity of complex network by Tsallis entropy, Physica A, 526, DOI: 10.1016/j.physa.2019.121054", "listPosition" : 116, "doi" : "10.1016/j.physa.2019.121054", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187893, "link" : "/api/reference/19187893", "label" : "117. Hu 2018: Local structure can identify and quantify influential global spreaders in large scale social networks, Proc. Natl. Acad. Sci., 115, p. 7468, DOI: 10.1073/pnas.1710547115", "listPosition" : 117, "doi" : "10.1073/pnas.1710547115", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187894, "link" : "/api/reference/19187894", "label" : "118. Kitsak 2010: Identification of influential spreaders in complex networks, Nat. Phys., 6, p. 888, DOI: 10.1038/nphys1746", "listPosition" : 118, "doi" : "10.1038/nphys1746", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187895, "link" : "/api/reference/19187895", "label" : "119. Ren 2019: Generalized network dismantling, Proc. Nat. Acad. Sci., 116, p. 6554, DOI: 10.1073/pnas.1806108116", "listPosition" : 119, "doi" : "10.1073/pnas.1806108116", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187896, "link" : "/api/reference/19187896", "label" : "120. Yuan 2019: Graph kernel based link prediction for signed social networks, Inf. Fusion, 46, p. 1, DOI: 10.1016/j.inffus.2018.04.004", "listPosition" : 120, "doi" : "10.1016/j.inffus.2018.04.004", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187897, "link" : "/api/reference/19187897", "label" : "121. Backes 2010: Shape classification using complex network and multi-scale fractal dimension, Pattern Recognit. Lett., 31, p. 44, DOI: 10.1016/j.patrec.2009.08.007", "listPosition" : 121, "doi" : "10.1016/j.patrec.2009.08.007", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187898, "link" : "/api/reference/19187898", "label" : "122. Zhang 2008: Fractal scale-free networks resistant to disease spread, J. Stat. Mech. Theory Exp., 2008, p. P09008, DOI: 10.1088/1742-5468/2008/09/P09008", "listPosition" : 122, "doi" : "10.1088/1742-5468/2008/09/P09008", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187899, "link" : "/api/reference/19187899", "label" : "123. Tian 2020: Digital imaging based on fractal theory and its spatial dimensionality, Fractals, DOI: 10.1142/S0218348X20400149", "listPosition" : 123, "doi" : "10.1142/S0218348X20400149", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187900, "link" : "/api/reference/19187900", "label" : "124. Lu 2004: Fractal dimension of a transportation network and its relationship with urban growth: a study of the Dallas-Fort Worth area, Environ. Plan. B: Plann. Des., 31, p. 895, DOI: 10.1068/b3163", "listPosition" : 124, "doi" : "10.1068/b3163", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187901, "link" : "/api/reference/19187901", "label" : "125. Huang 2003: Application of box counting method-based fractal geometry technique for disturbance detection in power systems, p. 1604", "listPosition" : 125, "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187902, "link" : "/api/reference/19187902", "label" : "126. Wen 2018: Evaluating topological vulnerability based on fuzzy fractal dimension, Int. J. Fuzzy Syst., 20, p. 1956, DOI: 10.1007/s40815-018-0457-8", "listPosition" : 126, "doi" : "10.1007/s40815-018-0457-8", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187903, "link" : "/api/reference/19187903", "label" : "127. Chen 2019: Research on degradation state recognition of planetary gear based on multiscale information dimension of SSD and CNN, Complexity, 2019", "listPosition" : 127, "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187904, "link" : "/api/reference/19187904", "label" : "128. Nie 2018: Relationship between entropy and dimension of financial correlation-based network, Entropy, 20, p. 177, DOI: 10.3390/e20030177", "listPosition" : 128, "doi" : "10.3390/e20030177", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187905, "link" : "/api/reference/19187905", "label" : "129. Caniego 2005: Multifractal scaling of soil spatial variability, Ecol. Model., 182, p. 291, DOI: 10.1016/j.ecolmodel.2004.04.014", "listPosition" : 129, "doi" : "10.1016/j.ecolmodel.2004.04.014", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187906, "link" : "/api/reference/19187906", "label" : "130. Pavón-Domínguez 2017: Fractal and multifractal characterization of the scaling geometry of an urban bus-transport network., Comput. Environ. Urban Syst., 64, p. 229, DOI: 10.1016/j.compenvurbsys.2017.03.003", "listPosition" : 130, "doi" : "10.1016/j.compenvurbsys.2017.03.003", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187907, "link" : "/api/reference/19187907", "label" : "131. Wu 2015: Image edge detection based on local dimension: A complex networks approach, Physica A, 440, p. 9, DOI: 10.1016/j.physa.2015.07.020", "listPosition" : 131, "doi" : "10.1016/j.physa.2015.07.020", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187908, "link" : "/api/reference/19187908", "label" : "132. Bollobás 2001", "listPosition" : 132, "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187909, "link" : "/api/reference/19187909", "label" : "133. Lü 2016: Vital nodes identification in complex networks, Phys. Rep., 650, p. 1, DOI: 10.1016/j.physrep.2016.06.007", "listPosition" : 133, "doi" : "10.1016/j.physrep.2016.06.007", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187910, "link" : "/api/reference/19187910", "label" : "134. Lü 2011: Link prediction in complex networks: A survey, Physica A, 390, p. 1150, DOI: 10.1016/j.physa.2010.11.027", "listPosition" : 134, "doi" : "10.1016/j.physa.2010.11.027", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 19187911, "link" : "/api/reference/19187911", "label" : "135. Zhang 2018: Measure the structure similarity of nodes in complex networks based on relative entropy, Physica A, 491, p. 749, DOI: 10.1016/j.physa.2017.09.042", "listPosition" : 135, "doi" : "10.1016/j.physa.2017.09.042", "published" : false, "snippet" : true } ], "hasCitationDuplums" : false, "userChangeableUntil" : "2021-06-20T13:40:38.759+0000", "directInstitutesForSort" : "", "ownerAuthorCount" : 6, "ownerInstituteCount" : 48, "directInstituteCount" : 0, "authorCount" : 2, "contributorCount" : 0, "hasQualityFactor" : true, "link" : "/api/publication/31926688", "label" : "Wen Tao et al. The fractal dimension of complex networks: A review. (2021) INFORMATION FUSION 1566-2535 1872-6305 73 87-102", "template" : "