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...

ver descrição completa

Detalhes bibliográficos
Autores: Grabowicz, Przemyslaw Adam, Departament de Física
Formato: tesis doctoral
Estado:Versión publicada
Fecha de publicación:2014
País:España
Recursos:Universidad de las Islas Baleares
Repositorio:Biblioteca Digital de les Illes Balears
OAI Identifier:tesisUIB:Grabowicz_Przemyslaw_A
Acesso em linha: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
Palavra-chave:Nonlinear Physics of Complex Systems and
id ES_ac1ebd07e384cedb392cb03bec786f20
oai_identifier_str tesisUIB:Grabowicz_Przemyslaw_A
network_acronym_str ES
network_name_str España
repository_id_str
spelling Complex networks approach to modeling online social systems. The emergence of computational social scienceGrabowicz, Przemyslaw AdamDepartament de FísicaNonlinear Physics of Complex Systems and[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[spa] La presente tesis está dedicada a la descripción, análisis y modelado cuantitativo de sistemas complejos sociales en forma de redes sociales en internet. Mediante el uso de métodos y conceptos provenientes de ciencia de redes, análisis de redes sociales y minería de datos se descubren diferentes patrones estadísticos de los sistemas estudiados. Uno de los objetivos a largo plazo de esta línea de investigación consiste en hacer posible la predicción del comportamiento de sistemas complejos tecnológico-sociales, de un modo similar a la predicción meteorológica, usando inferencia estadística y modelado computacional basado en avances en el conocimiento de los sistemas tecnológico-sociales. A pesar de que el objeto del presente estudio son seres humanos, en lugar de los átomos o moléculas estudiados tradicionalmente en la física estadística, la disponibilidad de grandes bases de datos sobre comportamiento humano hace posible el uso de técnicas y métodos de física estadística. En el presente trabajo se utilizan grandes bases de datos provenientes de redes sociales en internet, se miden patrones estadísticos de comportamiento social, y se desarrollan métodos cuantitativos, modelos y métricas para el estudio de sistemas complejos tecnológico-sociales.Universitat de les Illes BalearsMartínez Eguiluz, VíctorRamasko Sukia, José J.2014info:eu-repo/semantics/doctoralThesisinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://ibdigital.uib.es/greenstone/sites/oai-site/collect/tesisUIB/index/assoc/Grabowic.dir/Grabowicz_Przemyslaw_A.pdfhttp://ibdigital.uib.es/greenstone/library/collection/tesisUIB/document/Grabowicz_Przemyslaw_Areponame:Biblioteca Digital de les Illes Balearsinstname:Universidad de las Islas BalearesInglésTesis doctorals de la UIBall rights reservedinfo:eu-repo/semantics/openAccesstesisUIB:Grabowicz_Przemyslaw_A2026-05-28T12:40:11Z
dc.title.none.fl_str_mv Complex networks approach to modeling online social systems. The emergence of computational social science
title Complex networks approach to modeling online social systems. The emergence of computational social science
spellingShingle Complex networks approach to modeling online social systems. The emergence of computational social science
Grabowicz, Przemyslaw Adam
Nonlinear Physics of Complex Systems and
title_short Complex networks approach to modeling online social systems. The emergence of computational social science
title_full Complex networks approach to modeling online social systems. The emergence of computational social science
title_fullStr Complex networks approach to modeling online social systems. The emergence of computational social science
title_full_unstemmed Complex networks approach to modeling online social systems. The emergence of computational social science
title_sort Complex networks approach to modeling online social systems. The emergence of computational social science
dc.creator.none.fl_str_mv Grabowicz, Przemyslaw Adam
Departament de Física
author Grabowicz, Przemyslaw Adam
author_facet Grabowicz, Przemyslaw Adam
Departament de Física
author_role author
author2 Departament de Física
author2_role author
dc.contributor.none.fl_str_mv Martínez Eguiluz, Víctor
Ramasko Sukia, José J.
dc.subject.none.fl_str_mv Nonlinear Physics of Complex Systems and
topic Nonlinear Physics of Complex Systems and
description [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
publishDate 2014
dc.date.none.fl_str_mv 2014
dc.type.none.fl_str_mv info:eu-repo/semantics/doctoralThesis
info:eu-repo/semantics/publishedVersion
format doctoralThesis
status_str publishedVersion
dc.identifier.none.fl_str_mv 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
url 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
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Tesis doctorals de la UIB
dc.rights.none.fl_str_mv all rights reserved
info:eu-repo/semantics/openAccess
rights_invalid_str_mv all rights reserved
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universitat de les Illes Balears
publisher.none.fl_str_mv Universitat de les Illes Balears
dc.source.none.fl_str_mv reponame:Biblioteca Digital de les Illes Balears
instname:Universidad de las Islas Baleares
instname_str Universidad de las Islas Baleares
reponame_str Biblioteca Digital de les Illes Balears
collection Biblioteca Digital de les Illes Balears
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869416327836336128
score 15,301603

Registos relacionados