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This paper presents an analysis of a temporal network that describes thesocial connections of a large-scale (~ 30,000) sample of online social networkusers, inhabitants of a fixed city. We tested how the main network formationdeterminants - transitivity, preferential attachment, and social selection -contribute to network evolution. Among other things, we found that opinionsocial selection does affect tie appearing whereas its impact on tie removingis rather unclear. We report that transitivity displayed the strongest effecton network dynamics. Surprisingly, a closer look revealed an intriguing andcomplex interplay between the transitivity, preferential attachment, andanti-preferential attachment mechanisms. For a given pair of unconnected nodes,if they have no mutual connections, then the probability of tie creation goesup with the sum of node degrees - that is exactly what the preferentialattachment mechanism is assumed to do. Instead, if the nodes have at least onecommon friend, then the highest probability of tie appearing is achieved ifboth the nodes have only a few friends - a phenomenon that is calledanti-preferential attachment. We attempted to explain this finding by appealingto the notions of social communities and leaders.

A Nontrivial Interplay between Triadic Closure, Preferential, and Anti-Preferential Attachment: New Insights from Online Data