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Faraj S, Johnson SL. Network exchange patterns in online communities. Org Sci. 2011;22(6):1464–80., DOI: 10.1287/orsc.1100.0600", "listPosition" : 1, "doi" : "10.1287/orsc.1100.0600", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 18973541, "link" : "/api/reference/18973541", "label" : "2. Lin K-Y, Lu H-P. Why people use social networking sites: an empirical study integrating network externalities and motivation theory. Comput Human Behav. 2011;27(3):1152–61., DOI: 10.1016/j.chb.2010.12.009", "listPosition" : 2, "doi" : "10.1016/j.chb.2010.12.009", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 18973542, "link" : "/api/reference/18973542", "label" : "3. Toriumi, F., Yamamoto, H., Okada, I.: Why do people use social media? agent-based simulation and population dynamics analysis of the evolution of cooperation in social media. In: Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology-Volume 02, pp. 43–50 (2012). IEEE Computer Society., DOI: 10.1109/WI-IAT.2012.191", "listPosition" : 3, "doi" : "10.1109/WI-IAT.2012.191", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 18973543, "link" : "/api/reference/18973543", "label" : "4. Karamon J, Matsuo Y, Ishizuka M. Generating useful network-based features for analyzing social networks. Proc AAAI. 2008;2008:1162–8.", "listPosition" : 4, "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 18973544, "link" : "/api/reference/18973544", "label" : "5. Saito, K., Masuda, N.: Two types of twitter users with equally many followers. In: 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013), pp. 1425–1426 (2013). https://doi.org/10.1145/2492517.2492575., DOI: 10.1145/2492517.2492575", "listPosition" : 5, "doi" : "10.1145/2492517.2492575", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 18973545, "link" : "/api/reference/18973545", "label" : "6. Qasem Z, Jansen M, Hecking T, Hoppe HU. Using attractiveness model for actors ranking in social media networks. Comput Soc Netw. 2017;4(1):3., DOI: 10.1186/s40649-017-0040-8", "listPosition" : 6, "doi" : "10.1186/s40649-017-0040-8", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 18973546, "link" : "/api/reference/18973546", "label" : "7. Axelrod R. An evolutionary approach to norms. Am Polit Sci Rev. 1986;80(4):1095–111., DOI: 10.1017/S0003055400185016", "listPosition" : 7, "doi" : "10.1017/S0003055400185016", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 18973547, "link" : "/api/reference/18973547", "label" : "8. Hirahara, Y., Toriumi, F., Sugawara, T.: Evolution of cooperation in sns-norms game on complex networks and real social networks. In: International Conference on Social Informatics, pp. 112–120 (2014). Springer., DOI: 10.1007/978-3-319-13734-6_8", "listPosition" : 8, "doi" : "10.1007/978-3-319-13734-6_8", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 18973548, "link" : "/api/reference/18973548", "label" : "9. Hirahara Y, Toriumi F, Sugawara T. Cooperation-dominant situations in sns-norms game on complex and facebook networks. New Gener Comput. 2016;34:273–90. https://doi.org/10.1007/s00354-016-0305-z., DOI: 10.1007/s00354-016-0305-z", "listPosition" : 9, "doi" : "10.1007/s00354-016-0305-z", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 18973549, "link" : "/api/reference/18973549", "label" : "10. Miura, Y., Toriumi, F., Sugawara, T.: Multiple world genetic algorithm to analyze individually advantageous behaviors in complex networks. In: Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO ’19, pp. 297–298. ACM, New York, NY, USA (2019). https://doi.org/10.1145/3319619.3321989., DOI: 10.1145/3319619.3321989", "listPosition" : 10, "doi" : "10.1145/3319619.3321989", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 18973550, "link" : "/api/reference/18973550", "label" : "11. Miura, Y., Toriumi, F., Sugawara, T.: Multiple-world genetic algorithm to identify locally reasonable behaviors in complex social networks. In: 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC), pp. 3665–3672 (2019). https://doi.org/10.1109/SMC.2019.8914277, DOI: 10.1109/SMC.2019.8914277", "listPosition" : 11, "doi" : "10.1109/SMC.2019.8914277", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 18973551, "link" : "/api/reference/18973551", "label" : "12. Ebel H, Bornholdt S. Coevolutionary games on networks. Phys Rev E. 2002;66(5):056118., DOI: 10.1103/PhysRevE.66.056118", "listPosition" : 12, "doi" : "10.1103/PhysRevE.66.056118", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 18973552, "link" : "/api/reference/18973552", "label" : "13. Gupta D, Ghafir S. An overview of methods maintaining diversity in genetic algorithms. Int J Emerg Technol Adv Eng. 2012;2(5):56–60.", "listPosition" : 13, "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 18973553, "link" : "/api/reference/18973553", "label" : "14. Shimodaira, H.: A diversity-control-oriented genetic algorithm (dcga): Performance in function optimization. In: Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No. 01TH8546), vol. 1, pp. 44–51 (2001). IEEE", "listPosition" : 14, "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 18973554, "link" : "/api/reference/18973554", "label" : "15. Miura, Y., Toriumi, F., Sugawara, T.: Analysis of diversity and dynamics in co-evolution of cooperation in social networking services. In: International Conference on Complex Networks and Their Applications, pp. 495–506 (2019). Springer, DOI: 10.1007/978-3-030-36687-2_41", "listPosition" : 15, "doi" : "10.1007/978-3-030-36687-2_41", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 18973555, "link" : "/api/reference/18973555", "label" : "16. Vázquez A. Growing network with local rules: preferential attachment, clustering hierarchy, and degree correlations. Phys Rev E. 2003;67(5):056104., DOI: 10.1103/PhysRevE.67.056104", "listPosition" : 16, "doi" : "10.1103/PhysRevE.67.056104", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 18973556, "link" : "/api/reference/18973556", "label" : "17. Al-Debei MM, Al-Lozi E, Papazafeiropoulou A. Why people keep coming back to facebook: explaining and predicting continuance participation from an extended theory of planned behaviour perspective. Decis Supp Syst. 2013;55(1):43–54., DOI: 10.1016/j.dss.2012.12.032", "listPosition" : 17, "doi" : "10.1016/j.dss.2012.12.032", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 18973557, "link" : "/api/reference/18973557", "label" : "18. Chen S-C, Yen DC, Hwang MI. Factors influencing the continuance intention to the usage of web 2.0: an empirical study. Comput Human Behav. 2012;28(3):933–41., DOI: 10.1016/j.chb.2011.12.014", "listPosition" : 18, "doi" : "10.1016/j.chb.2011.12.014", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 18973558, "link" : "/api/reference/18973558", "label" : "19. Sun N, Rau PP-L, Ma L. Understanding lurkers in online communities: a literature review. Comput Human Behav. 2014;38:110–7., DOI: 10.1016/j.chb.2014.05.022", "listPosition" : 19, "doi" : "10.1016/j.chb.2014.05.022", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 18973559, "link" : "/api/reference/18973559", "label" : "20. Lőrincz L, Koltai J, Győr AF, Takács K. Collapse of an online social network: burning social capital to create it? Soc Netw. 2019;57:43–53., DOI: 10.1016/j.socnet.2018.11.004", "listPosition" : 20, "doi" : "10.1016/j.socnet.2018.11.004", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 18973560, "link" : "/api/reference/18973560", "label" : "21. Garcia, D., Mavrodiev, P., Schweitzer, F.: Social resilience in online communities: The autopsy of friendster. In: Proceedings of the First ACM Conference on Online Social Networks. COSN ’13, pp. 39–50. ACM, New York, NY, USA (2013). https://doi.org/10.1145/2512938.2512946., DOI: 10.1145/2512938.2512946", "listPosition" : 21, "doi" : "10.1145/2512938.2512946", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 18973561, "link" : "/api/reference/18973561", "label" : "22. Luqman A, Cao X, Ali A, Masood A, Yu L. Empirical investigation of facebook discontinues usage intentions based on sor paradigm. Comput Human Behav. 2017;70:544–55., DOI: 10.1016/j.chb.2017.01.020", "listPosition" : 22, "doi" : "10.1016/j.chb.2017.01.020", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 18973562, "link" : "/api/reference/18973562", "label" : "23. Yamakami, T.: Towards understanding sns fatigue: exploration of social experience in the virtual world. In: 2012 7th International Conference on Computing and Convergence Technology (ICCCT), pp. 203–207 (2012)", "listPosition" : 23, "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 18973563, "link" : "/api/reference/18973563", "label" : "24. Xiong X, Jiang D, Wu Y, He L, Song H, Lv Z. Empirical analysis and modeling of the activity dilemmas in big social networks. IEEE Access. 2016;5:967–74., DOI: 10.1109/ACCESS.2016.2626079", "listPosition" : 24, "doi" : "10.1109/ACCESS.2016.2626079", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 18973564, "link" : "/api/reference/18973564", "label" : "25. Li D, Chen Z, Liu J. Analysis for behavioral economics in social networks: an altruism-based dynamic cooperation model. Int J Parallel Progr. 2019;47(4):686–708. https://doi.org/10.1007/s10766-018-0559-9., DOI: 10.1007/s10766-018-0559-9", "listPosition" : 25, "doi" : "10.1007/s10766-018-0559-9", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 18973565, "link" : "/api/reference/18973565", "label" : "26. White, J., Park, J.S., Kamhoua, C.A., Kwiat, K.A.: Game theoretic attack analysis in online social network (osn) services. In: Proceedings of the 2013 Ieee/acm International Conference on Advances in Social Networks Analysis and Mining, pp. 1012–1019 (2013). ACM, DOI: 10.1145/2492517.2500257", "listPosition" : 26, "doi" : "10.1145/2492517.2500257", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 18973566, "link" : "/api/reference/18973566", "label" : "27. Yadati, N., Narayanam, R.: Game theoretic models for social network analysis. In: Proceedings of the 20th International Conference Companion on World Wide Web, pp. 291–292 (2011). ACM, DOI: 10.1145/1963192.1963316", "listPosition" : 27, "doi" : "10.1145/1963192.1963316", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 18973567, "link" : "/api/reference/18973567", "label" : "28. Anderson E. Social Media Marketing: Game Theory and the Emergence of Collaboration. Berlin: Springer; 2010., DOI: 10.1007/978-3-642-13299-5", "listPosition" : 28, "doi" : "10.1007/978-3-642-13299-5", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 18973568, "link" : "/api/reference/18973568", "label" : "29. Fulk J, Flanagin AJ, Kalman ME, Monge PR, Ryan T. Connective and communal public goods in interactive communication systems. Commun Theory. 1996;6(1):60–87. https://doi.org/10.1111/j.1468-2885.1996.tb00120.x., DOI: 10.1111/j.1468-2885.1996.tb00120.x", "listPosition" : 29, "doi" : "10.1111/j.1468-2885.1996.tb00120.x", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 18973569, "link" : "/api/reference/18973569", "label" : "30. Leonardi PM, Huysman M, Steinfield C. Enterprise social media: definition, history, and prospects for the study of social technologies in organizations. J Comput Med Commun. 2013;19(1):1–19. https://doi.org/10.1111/jcc4.12029., DOI: 10.1111/jcc4.12029", "listPosition" : 30, "doi" : "10.1111/jcc4.12029", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 18973570, "link" : "/api/reference/18973570", "label" : "31. Osaka K, Toriumi F, Sugawara T. Effect of direct reciprocity and network structure on continuing prosperity of social networking services. Comput Soc Netw. 2017;4(1):2., DOI: 10.1186/s40649-017-0038-2", "listPosition" : 31, "doi" : "10.1186/s40649-017-0038-2", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 18973571, "link" : "/api/reference/18973571", "label" : "32. Toriumi, F., Yamamoto, H., Okada, I.: A belief in rewards accelerates cooperation on consumer-generated media. J Comput Soc Sci, 1–13", "listPosition" : 32, "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 18973572, "link" : "/api/reference/18973572", "label" : "33. Leskovec, J., Krevl, A.: SNAP Datasets: Stanford Large Network Dataset Collection. http://snap.stanford.edu/data (2014)", "listPosition" : 33, "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 18973573, "link" : "/api/reference/18973573", "label" : "34. Fechner GT, Howes DH, Boring EG. Elements of Psychophysics, vol. 1. New York: Holt; 1966.", "listPosition" : 34, "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 18973574, "link" : "/api/reference/18973574", "label" : "35. Miura, Y., Toriumi, F., Sugawara, T.: Evolutionary learning model of social networking services with diminishing marginal utility. In: Companion Proceedings of the The Web Conference 2018. WWW ’18, pp. 1323–1329. International World Wide Web Conferences Steering Committee, Republic and Canton of Geneva, Switzerland (2018). https://doi.org/10.1145/3184558.3191573., DOI: 10.1145/3184558.3191573", "listPosition" : 35, "doi" : "10.1145/3184558.3191573", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 18973575, "link" : "/api/reference/18973575", "label" : "36. Newman MEJ. Mixing patterns in networks. Phys Rev E. 2003;67:026126. https://doi.org/10.1103/PhysRevE.67.026126., DOI: 10.1103/PhysRevE.67.026126", "listPosition" : 36, "doi" : "10.1103/PhysRevE.67.026126", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 18973576, "link" : "/api/reference/18973576", "label" : "37. Piraveenan M, Prokopenko M, Zomaya AY. Local assortativeness in scale-free networks. Europhys Lett. 2008;84(2):28002. https://doi.org/10.1209/0295-5075/84/28002., DOI: 10.1209/0295-5075/84/28002", "listPosition" : 37, "doi" : "10.1209/0295-5075/84/28002", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 18973577, "link" : "/api/reference/18973577", "label" : "38. Aral S, Dhillon PS. Social influence maximization under empirical influence models. Nat Human Behav. 2018;2(6):375–82., DOI: 10.1038/s41562-018-0346-z", "listPosition" : 38, "doi" : "10.1038/s41562-018-0346-z", "published" : false, "snippet" : true }, { "otype" : "Reference", "mtid" : 18973578, "link" : "/api/reference/18973578", "label" : "39. Assenza S, Gómez-Gardeñes J, Latora V. Enhancement of cooperation in highly clustered scale-free networks. Phys Rev E. 2008;78:017101. https://doi.org/10.1103/PhysRevE.78.017101., DOI: 10.1103/PhysRevE.78.017101", "listPosition" : 39, "doi" : "10.1103/PhysRevE.78.017101", "published" : false, "snippet" : true } ], "hasCitationDuplums" : false, "directInstitutesForSort" : "", "ownerAuthorCount" : 3, "ownerInstituteCount" : 23, "directInstituteCount" : 0, "authorCount" : 3, "contributorCount" : 0, "hasQualityFactor" : false, "link" : "/api/publication/31914127", "label" : "Miura Yutaro et al. Modeling and analyzing users’ behavioral strategies with co-evolutionary process. 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