@article{MTMT:32523063,
	title = {Digital transformation and cities: How COVID-19 has boosted a new evolution of urban spaces},
	url = {https://m2.mtmt.hu/api/publication/32523063},
	author = {Buonocore, Maria Nicola and Martino, Mattia De and Ferro, Chiara},
	journal-iso = {J URBAN REGEN RENEW},
	journal = {JOURNAL OF URBAN REGENERATION AND RENEWAL},
	volume = {15},
	unique-id = {32523063},
	issn = {1752-9646},
	abstract = {According to UN-Habitat, in 2020 there were 1,934 metropolises around the world, representing approximately 60 per cent of the world’s urban population. In 2020, 2.5bn people lived in metropolises, which is equivalent to one-third of the global population. Due to their structure and function, this typology of city has become central in tackling key urban challenges in recent years. Thanks to information communications technology (ICT), artificial intelligence (AI), quantum computing and big data analysis, they have demonstrated great flexibility in policymaking and innovation, rethinking their functions and spaces, and enhancing resilience and sustainability in order to provide better services in more efficient ways. Fifteen-minute cities, investment in algorithms for public mobility, conversion of abandoned areas into green spaces, are only some of the solutions adopted around the world in both developed and developing countries. The COVID-19 pandemic has accelerated digital processes, allowing for a reconsideration of urban environments, movement, and existence through the employment of new technologies and solutions. Therefore, the major goals of this research are to: 1) review the literature on the influence of ICTs on urban areas; 2) analyse the research on the impact of the COVID-19 pandemic on cities; and 3) analyse new policies and resolutions on urban and city planning.},
	keywords = {ICT; CORONAVIRUS; Digital; urban planning; digitalisation; Urban space; Suburbanisation; COVID-19; technology cities},
	year = {2021},
	eissn = {1752-9646},
	pages = {95-112}
}

@article{MTMT:32523001,
	title = {Urban Community Sustainable Development Patterns under the Influence of COVID-19: A Case Study Based on the Non-Contact Interaction Perspective of Hangzhou City},
	url = {https://m2.mtmt.hu/api/publication/32523001},
	author = {Wang, Jiwu and Hu, Xuewei and Tong, Chengyu},
	doi = {10.3390/su13063575},
	journal-iso = {SUSTAINABILITY-BASEL},
	journal = {SUSTAINABILITY},
	volume = {13},
	unique-id = {32523001},
	year = {2021},
	eissn = {2071-1050},
	orcid-numbers = {Hu, Xuewei/0000-0002-3307-9646; Tong, Chengyu/0000-0002-5117-6087}
}

@article{MTMT:31764511,
	title = {A Temporal User Attribute-Based Algorithm to Detect Communities in Online Social Networks},
	url = {https://m2.mtmt.hu/api/publication/31764511},
	author = {Mahmoudi, Amin and Abu Bakar, Azuraliza and Sookhak, Mehdi and Yaakub, Mohd Ridzwan},
	doi = {10.1109/ACCESS.2020.3018941},
	journal-iso = {IEEE ACCESS},
	journal = {IEEE ACCESS},
	volume = {8},
	unique-id = {31764511},
	issn = {2169-3536},
	abstract = {The world is witnessing the daily emergence of a vast variety of online social networks and community detection problem is a major research area in online social network studies. The existing community detection algorithms are mostly edge-based and are evaluated using the modularity metric benchmarks. However, these algorithms have two inherent limitations. Firstly, they are based on a pure mathematical object which considers the number of connections in each community as the main measures. Consequently, a resolution limit and low accuracy in finding community members in often observed. Whereas, online social networks are dynamic networks and the key players are humans whose main attributes such as lifespan, geo-location, the density of interactions, and user weight, change over time. These attributes tend to influence the formation of user communities in any category of online social network. Secondly, the output structure of existing community detection algorithms is usually provided as a graph and dendrogram. A graph structure, is, however, characterized by a high memory complexity, and subsequently exponential search time complexity. Implementing dendrogram such a complex structure is complicated. To address memory complexity and the accuracy rate of the community detection issues, this paper proposes a new temporal user attribute-based algorithm, namely the recently largest interaction based on the attributes of a typical online social network user. Experimental results show that the proposed algorithm outperforms eight well-known algorithms in this domain.},
	keywords = {Measurement; Time complexity; Heuristic algorithms; social network services; Community detection; Gravity model; classification algorithms; Online social network; Image edge detection; User attributes; recently largest interaction},
	year = {2020},
	eissn = {2169-3536},
	pages = {154363-154381},
	orcid-numbers = {Sookhak, Mehdi/0000-0001-5822-3432}
}

@book{MTMT:31845128,
	title = {Távolság a tudományos együttműködési hálózatokban},
	url = {https://m2.mtmt.hu/api/publication/31845128},
	isbn = {9789637451553},
	author = {Vida, Zsófia Viktória},
	doi = {10.36820/tudomanyelemzes.2020.1},
	editor = {Soós, Sándor},
	publisher = {Library und Information Centre of the Hungarian Academy of Sciences},
	unique-id = {31845128},
	year = {2020}
}

@article{MTMT:30989316,
	title = {The Relationship between Online Social Network Ties and User Attributes},
	url = {https://m2.mtmt.hu/api/publication/30989316},
	author = {Mahmoudi, Amin and Yaakub, Mohd Ridzwan and Abu Bakar, Azuraliza},
	doi = {10.1145/3314204},
	journal-iso = {ACM T KNOWL DISCOV D},
	journal = {ACM Transactions on Knowledge Discovery from Data},
	volume = {13},
	unique-id = {30989316},
	issn = {1556-4681},
	abstract = {The distance between users has an effect on the formation of social network ties, but it is not the only or even the main factor. Knowing all the features that influence such ties is very important for many related domains such as location-based recommender systems and community and event detection systems for online social networks (OSNs). In recent years, researchers have analyzed the role of user geo-location in OSNs. Researchers have also attempted to determine the probability of friendships being established based on distance, where friendship is not only a function of distance. However, some important features of OSNs remain unknown. In order to comprehensively understand the OSN phenomenon, we also need to analyze users' attributes. Basically, an OSN functions according to four main user properties: user geo-location, user weight, number of user interactions, and user lifespan. The research presented here sought to determine whether the user mobility pattern can be used to predict users' interaction behavior. It also investigated whether, in addition to distance, the number of friends ( known as user weight) interferes in social network tie formation. To this end, we analyzed the above-stated features in three large-scale OSNs. We found that regardless of a high degree freedom in user mobility, the fraction of the number of outside activities over the inside activity is a significant fraction that helps us to address the user interaction behavior. To the best of our knowledge, research has not been conducted elsewhere on this issue. We also present a high-resolution formula in order to improve the friendship probability function.},
	keywords = {DISTANCE; Tie formation; Online social network; IO-fraction; user weight},
	year = {2019},
	eissn = {1556-472X}
}

@article{MTMT:32529877,
	title = {How Do ICTs Affect Urban Spatial Structure? A Systematic Literature Review},
	url = {https://m2.mtmt.hu/api/publication/32529877},
	author = {Yousefi, Zahed and Dadashpoor, Hashem},
	doi = {10.1080/10630732.2019.1689593},
	journal-iso = {J URBAN TECHNOL},
	journal = {JOURNAL OF URBAN TECHNOLOGY},
	volume = {27},
	unique-id = {32529877},
	issn = {1063-0732},
	year = {2019},
	eissn = {1466-1853},
	pages = {47-65},
	orcid-numbers = {Yousefi, Zahed/0000-0003-4033-9546; Dadashpoor, Hashem/0000-0002-2914-3668}
}

@article{MTMT:27202202,
	title = {Centralization or decentralization? A review on the effects of information and communication technology on urban spatial structure},
	url = {https://m2.mtmt.hu/api/publication/27202202},
	author = {Hashem, Dadashpoor and Zahed, Yousef},
	doi = {10.1016/j.cities.2018.02.013},
	journal-iso = {CITIES},
	journal = {CITIES: THE INTERNATIONAL JOURNAL OF URBAN POLICY AND PLANNING},
	volume = {?},
	unique-id = {27202202},
	issn = {0264-2751},
	year = {2018},
	eissn = {1873-6084}
}