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Conference Papers Year : 2011

Triangles to Capture Social Cohesion

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


  • HAL Id : inria-00619092 , version 1


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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