2024-03-28T10:45:21Zhttps://www.tdx.cat/oai/requestoai:www.tdx.cat:10803/1312202017-09-14T16:26:13Zcom_10803_381col_10803_395
nam a 5i 4500
complex networks, computational social science, social computing, social network analysis, data mining, online social network, groups, network, growth, twitter, flickr, geo-localized, big data, social system, sociology
Complex networks approach to modeling online social systems. The emergence of computational social science
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Universitat de les Illes Balears,
2014
Accés lliure
http://hdl.handle.net/10803/131220
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Grabowicz, Przemyslaw Adam,
autor
1 recurs en línia (160 pàgines)
Tesi
Doctorat
Universitat de les Illes Balears. Departament de Física
2014
Universitat de les Illes Balears. Departament de Física
Tesis i dissertacions electròniques
Martínez Eguiluz, Víctor,
supervisor acadèmic
Ramasko Sukia, José J.,
supervisor acadèmic
San Miguel Ruibal, Maximino,
supervisor acadèmic
TDX
This thesis is devoted to quantitative description, analysis, and modeling of complex social systems in the form of online social networks. Statistical patterns of the systems under study are unveiled and interpreted using concepts and methods of network science, social network analysis, and data mining. A long-term promise of this research is that predicting the behavior of complex techno-social systems will be possible in a way similar to contemporary weather forecasting, using statistical inference and computational modeling based on the advancements in understanding and knowledge of techno-social systems. Although the subject of this study are humans, as opposed to atoms or molecules in statistical physics, the availability of extremely large datasets on human behavior permits the use of tools and techniques of statistical physics. This dissertation deals with large datasets from online social networks, measures statistical patterns of social behavior, and develops quantitative methods, models, and metrics for complex techno-social systems.
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