Bursty egocentric network evolution in Skype

Abstract

In this study we analyze the dynamics of the contact list evolution of millions of users of the Skype communication network. We find that egocentric networks evolve heterogeneously in time as events of edge additions and deletions of individuals are grouped in long bursty clusters, which are separated by long inactive periods. We classify users by their link creation dynamics and show that bursty peaks of contact additions are likely to appear shortly after user account creation. We also study possible relations between bursty contact addition activity and other user-initiated actions like free and paid service adoption events. We show that bursts of contact additions are associated with increases in activity and adoption - an observation that can inform the design of targeted marketing tactics.

7 pages, 6 figures. Social Network Analysis and Mining (2013)

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Cited by in corpus (7)

• Modern temporal network theory: A colloquium
• Randomized reference models for temporal networks
• Evolution of Ego-networks in Social Media with Link Recommendations
• Burst-tree structure and higher-order temporal correlations
• Temporal scaling theory for bursty time series with clusters of arbitrarily many events
• Analysis of the autocorrelation function for time series with higher-order temporal correlations: An exponential case
• Hierarchical organization of bursty trains in event sequences