4.6 Article

Emergence of clustering in an acquaintance model without homophily

Publisher

IOP PUBLISHING LTD
DOI: 10.1088/1742-5468/2014/11/P11035

Keywords

network dynamics; random graphs; networks; clustering techniques

Funding

  1. AFOSR
  2. DARPA [FA9550-12-1-0391]
  3. NSF [DMR-1205797]
  4. Direct For Mathematical & Physical Scien [1623243] Funding Source: National Science Foundation
  5. Division Of Materials Research [1205797] Funding Source: National Science Foundation

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We introduce an agent-based acquaintance model in which social links are created by processes in which there is no explicit homophily. In spite of the homogeneous nature of the social interactions, highly-clustered social networks can arise. The crucial feature of our model is that of variable transitive interactions. Namely, when an agent introduces two unconnected friends, the rate at which a connection actually occurs between them depends on the number of their mutual acquaintances. As this transitive interaction rate is varied, the social network undergoes a dramatic clustering transition. Close to the transition, the network consists of a collection of well-defined communities. As a function of time, the network can also undergo an incomplete gelation transition, in which the gel, or giant cluster, does not constitute the entire network, even at infinite time. Some of the clustering properties of our model also arise, but in a more gradual manner, in Facebook networks. Finally, we discuss a more realistic variant of our original model in which network realizations can be constructed that quantitatively match Facebook networks.

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