Skip to Main content Skip to Navigation
Journal articles

Self-Organizing Flows in Social Networks

Abstract : Social networks offer users new means of accessing information, essentially relying on ''social filtering'', i.e. propagation and filtering of information by social contacts. The sheer amount of data flowing in these networks, combined with the limited budget of attention of each user, makes it difficult to ensure that social filtering brings relevant content to the interested users. Our motivation in this paper is to measure to what extent self-organization of the social network results in efficient social filtering. To this end we introduce flow games, a simple abstraction that models network formation under selfish user dynamics, featuring user-specific interests and budget of attention. In the context of homogeneous user interests, we show that selfish dynamics converge to a stable network structure (namely a pure Nash equilibrium) with close-to-optimal information dissemination. We show in contrast, for the more realistic case of heterogeneous interests, that convergence, if it occurs, may lead to information dissemination that can be arbitrarily inefficient, as captured by an unbounded ''price of anarchy''. Nevertheless the situation differs when users' interests exhibit a particular structure, captured by a metric space with low doubling dimension. In that case, natural autonomous dynamics converge to a stable configuration. Moreover, users obtain all the information of interest to them in the corresponding dissemination, provided their budget of attention is logarithmic in the size of their interest set.
Document type :
Journal articles
Complete list of metadata

Cited literature [26 references]  Display  Hide  Download
Contributor : Laurent Viennot Connect in order to contact the contributor
Submitted on : Friday, February 27, 2015 - 5:41:05 PM
Last modification on : Friday, January 21, 2022 - 3:15:02 AM
Long-term archiving on: : Thursday, May 28, 2015 - 10:45:22 AM


Files produced by the author(s)



Nidhi Hegde, Laurent Massoulié, Laurent Viennot. Self-Organizing Flows in Social Networks. Theoretical Computer Science, Elsevier, 2015, pp.16. ⟨10.1016/j.tcs.2015.02.018⟩. ⟨hal-00761046v3⟩



Les métriques sont temporairement indisponibles