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Large human communication networks: patterns and a utility-driven generatorIn KDD '09: Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining (2009), pp. 269-278.
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AbstractGiven a real, and weighted person-to-person network which changes over time, what can we say about the cliques that it contains? Do the incidents of communication, or weights on the edges of a clique follow any pattern? Real, and in-person social networks have many more triangles than chance would dictate. As it turns out, there are many more cliques than one would expect, in surprising patterns.
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