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dc.contributor.authorde Martí, Joanen_US
dc.contributor.authorZenou, Yvesen_US
dc.date.accessioned2010-02-02en_US
dc.date.accessioned2010-07-07T12:05:31Z-
dc.date.available2010-07-07T12:05:31Z-
dc.date.issued2009en_US
dc.identifier.urihttp://hdl.handle.net/10419/36027-
dc.description.abstractWe survey the literature on social networks by putting together the economics, sociological and physics/applied mathematics approaches, showing their similarities and differences. We expose, in particular, the two main ways of modeling network formation. While the physics/applied mathematics approach is capable of reproducing most observed networks, it does not explain why they emerge. On the contrary, the economics approach is very precise in explaining why networks emerge but does a poor job in matching real-world networks. We also analyze behaviors on networks, which take networks as given and focus on the impact of their structure on individuals' outcomes. Using a game-theoretical framework, we then compare the results with those obtained in sociology.en_US
dc.language.isoengen_US
dc.publisherIZA Bonnen_US
dc.relation.ispartofseriesIZA Discussion Papers 4621en_US
dc.subject.jelA14en_US
dc.subject.jelC72en_US
dc.subject.jelD85en_US
dc.subject.jelZ13en_US
dc.subject.ddc330en_US
dc.subject.keywordRandom graphen_US
dc.subject.keywordgame theoryen_US
dc.subject.keywordcentrality measuresen_US
dc.subject.keywordnetwork formationen_US
dc.subject.keywordweak and strong tiesen_US
dc.subject.stwSoziales Netzwerken_US
dc.subject.stwGraphentheorieen_US
dc.subject.stwSpieltheorieen_US
dc.subject.stwNetzwerken_US
dc.subject.stwWirtschaftsmodellen_US
dc.subject.stwTheorieen_US
dc.titleSocial networksen_US
dc.typeWorking Paperen_US
dc.identifier.ppn617549575en_US
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungen-
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