04781nam 22007575 450 991030040300332120251116135537.03-319-14011-610.1007/978-3-319-14011-7(CKB)3710000000463544(EBL)3568371(SSID)ssj0001546912(PQKBManifestationID)16141365(PQKBTitleCode)TC0001546912(PQKBWorkID)14796329(PQKB)10222411(DE-He213)978-3-319-14011-7(MiAaPQ)EBC3568371(PPN)188459340(EXLCZ)99371000000046354420150814d2015 u| 0engur|n|---|||||txtccrSocial Phenomena From Data Analysis to Models /edited by Bruno Gonçalves, Nicola Perra1st ed. 2015.Cham :Springer International Publishing :Imprint: Springer,2015.1 online resource (263 p.)Computational Social Sciences,2509-9574Description based upon print version of record.3-319-14010-8 Includes bibliographical references and index.Introduction -- Part I – Social Behavior under normal conditions -- Human mobility -- Face-to-face interactions -- Collaboration networks -- Online interactions -- Human behavior in financial markets -- Social Contagion -- Modeling and predicting human infectious diseases -- Part II – Social Behavior under stress -- Behavioral changes and adaptation induced by epidemics -- Uncovering criminal behavior with computational tools -- Crowd behavior -- Modeling terroristic escalations and warfare -- Discussion and Conclusion.This book focuses on the new possibilities and approaches to social modeling currently being made possible by an unprecedented variety of datasets generated by our interactions with modern technologies. This area has witnessed a veritable explosion of activity over the last few years, yielding many interesting and useful results. Our aim is to provide an overview of the state of the art in this area of research, merging an extremely heterogeneous array of datasets and models. Social Phenomena: From Data Analysis to Models is divided into two parts. Part I deals with modeling social behavior under normal conditions: How we live, travel, collaborate and interact with each other in our daily lives. Part II deals with societal behavior under exceptional conditions: Protests, armed insurgencies, terrorist attacks, and reactions to infectious diseases. This book offers an overview of one of the most fertile emerging fields bringing together practitioners from scientific communities as diverse as social sciences, physics and computer science. We hope to not only provide an unifying framework to understand and characterize social phenomena, but also to help foster the dialogue between researchers working on similar problems from different fields and perspectives.Computational Social Sciences,2509-9574SociophysicsEconophysicsApplication softwareSocial sciencesGame theoryPhysicsData-driven Science, Modeling and Theory Buildinghttps://scigraph.springernature.com/ontologies/product-market-codes/P33030Computer Appl. in Social and Behavioral Scienceshttps://scigraph.springernature.com/ontologies/product-market-codes/I23028Methodology of the Social Scienceshttps://scigraph.springernature.com/ontologies/product-market-codes/X17000Game Theory, Economics, Social and Behav. Scienceshttps://scigraph.springernature.com/ontologies/product-market-codes/M13011Numerical and Computational Physics, Simulationhttps://scigraph.springernature.com/ontologies/product-market-codes/P19021Sociophysics.Econophysics.Application software.Social sciences.Game theory.Physics.Data-driven Science, Modeling and Theory Building.Computer Appl. in Social and Behavioral Sciences.Methodology of the Social Sciences.Game Theory, Economics, Social and Behav. Sciences.Numerical and Computational Physics, Simulation.530Gonçalves Brunoedthttp://id.loc.gov/vocabulary/relators/edtPerra Nicolaedthttp://id.loc.gov/vocabulary/relators/edtBOOK9910300403003321Social Phenomena1772338UNINA