Network, Popularity and Social Cohesion: A Game-Theoretic Approach

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dc.contributor.author Liu, Jiamou en
dc.contributor.author Wei, Ziheng en
dc.contributor.editor Singh, S en
dc.contributor.editor Markovitch, S en
dc.coverage.spatial San Francisco, USA en
dc.date.accessioned 2018-10-16T21:00:58Z en
dc.date.issued 2017-07 en
dc.identifier.citation Thirty-First AAAI Conference on Artificial Intelligence, San Francisco, USA, 04 Feb 2017 - 09 Feb 2017. Editors: Singh S, Markovitch S. Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, February 4-9, 2017, San Francisco, California, USA.. The AAAI Press. 1: 600-606. Jul 2017 en
dc.identifier.isbn 978-1-57735-780-3 en
dc.identifier.issn 2159-5399 en
dc.identifier.uri http://hdl.handle.net/2292/42056 en
dc.description.abstract In studies of social dynamics, cohesion refers to a group's tendency to stay in unity, which -- as argued in sociometry — arises from the network topology of interpersonal ties. We follow this idea and propose a game-based model of cohesion that not only relies on the social network, but also reflects individuals' social needs. In particular, our model is a type of cooperative games where players may gain popularity by strategically forming groups. A group is socially cohesive if the grand coalition is core stable. We study social cohesion in some special types of graphs and draw a link between social cohesion and a classical notion of structural cohesion by White and Harary. We then focus on the problem of deciding whether a given social network is socially cohesive and show that this problem is CoNP-complete. Nevertheless, we give two efficient heuristics for coalition structures where players enjoy high popularity and experimentally evaluate their performances. en
dc.description.uri http://www.aaai.org/Library/AAAI/aaai17contents.php en
dc.format.medium Online and Print en
dc.publisher The AAAI Press en
dc.relation.ispartof Thirty-First AAAI Conference on Artificial Intelligence en
dc.relation.ispartofseries Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, February 4-9, 2017, San Francisco, California, USA. en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. en
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm en
dc.rights.uri https://aaai.org/ocs/index.php/AAAI/AAAI17/about/submissions#copyrightNotice en
dc.subject Computational social science en
dc.subject Social networks en
dc.subject Coordination and collaboration en
dc.subject Game theory en
dc.subject Equilibrium en
dc.title Network, Popularity and Social Cohesion: A Game-Theoretic Approach en
dc.type Conference Item en
pubs.begin-page 600 en
pubs.volume 1 en
dc.rights.holder Copyright: Association for the Advancement of Artificial Intelligence en
pubs.author-url https://aaai.org/ocs/index.php/AAAI/AAAI17/paper/view/14397 en
pubs.end-page 606 en
pubs.finish-date 2017-02-09 en
pubs.publication-status Published en
pubs.start-date 2017-02-04 en
dc.rights.accessrights http://purl.org/eprint/accessRights/OpenAccess en
pubs.subtype Proceedings en
pubs.elements-id 682101 en
pubs.org-id Science en
pubs.org-id School of Computer Science en
dc.identifier.eissn 2374-3468 en
pubs.record-created-at-source-date 2017-10-04 en
pubs.online-publication-date 2017-02 en


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