Complex networks approach to modeling online social systems. The emergence of computational social science

[eng]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 networ...

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Detalles Bibliográficos
Autores: Grabowicz, Przemyslaw Adam, Departament de Física
Tipo de recurso: tesis doctoral
Estado:Versión publicada
Fecha de publicación:2014
País:España
Institución:Universidad de las Islas Baleares
Repositorio:Biblioteca Digital de les Illes Balears
OAI Identifier:tesisUIB:Grabowicz_Przemyslaw_A
Acceso en línea:http://ibdigital.uib.es/greenstone/sites/oai-site/collect/tesisUIB/index/assoc/Grabowic.dir/Grabowicz_Przemyslaw_A.pdf
http://ibdigital.uib.es/greenstone/library/collection/tesisUIB/document/Grabowicz_Przemyslaw_A
Access Level:acceso abierto
Palabra clave:Nonlinear Physics of Complex Systems and
Descripción
Sumario:[eng]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