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Conference Papers Year : 2011

Triangles to Capture Social Cohesion

Abstract

Although community detection has drawn tremendous amount of attention across the sciences in the past decades, no formal consensus has been reached on the very nature of what qualifies a community as such. In this article we take an orthogonal approach by introducing a novel point of view to the problem of overlapping communities. Instead of quantifying the quality of a set of communities, we choose to focus on the intrinsic community-ness of one given set of nodes. To do so, we propose a general metric on graphs, the cohesion, based on counting triangles and inspired by well established sociological considerations. The model has been validated through a large-scale online experiment called Fellows in which users were able to compute their social groups on Face- book and rate the quality of the obtained groups. By observing those ratings in relation to the cohesion we assess that the cohesion is a strong indicator of users subjective perception of the community-ness of a set of people.
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Dates and versions

inria-00619092 , version 1 (05-09-2011)

Identifiers

  • HAL Id : inria-00619092 , version 1

Cite

Adrien Friggeri, Guillaume Chelius, Eric Fleury. Triangles to Capture Social Cohesion. Third IEEE International Conference on Social Computing, Oct 2011, Cambridge, United States. ⟨inria-00619092⟩
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