Burstiness and tie reinforcement in time varying social networks

Abstract

We introduce a time-varying network model accounting for burstiness and tie reinforcement observed in social networks. The analytical solution indicates a non-trivial phase diagram determined by the competition of the leading terms of the two processes. We test our results against numerical simulations, and compare the analytical predictions with an empirical dataset finding good agreements between them. The presented framework can be used to classify the dynamical features of real social networks and to gather new insights about the effects of social dynamics on ongoing spreading processes.

5 pages 4 figures; SI 7 pages 1 figure

References in corpus (16)

• Power-law distributions in empirical data
• Structure and tie strengths in mobile communication networks
• What's in a crowd? Analysis of face-to-face behavioral networks
• Activity driven modeling of time varying networks
• Small But Slow World: How Network Topology and Burstiness Slow Down Spreading
• Modern temporal network theory: A colloquium
• Validation of Dunbar's number in Twitter conversations
• A Poissonian explanation for heavy-tails in e-mail communication
• Diffusion of scientific credits and the ranking of scientists
• Analytical computation of the epidemic threshold on temporal networks
• Temporal Heterogeneities Increase the Prevalence of Epidemics on Evolving Networks
• Burstiness and aging in social temporal networks
• Contagion dynamics in time-varying metapopulation networks
• Asymptotic theory for the dynamic of networks with heterogenous social capital allocation
• From calls to communities: a model for time varying social networks
• Attractiveness and activity in Internet communities

Cited by in corpus (13)

• Epidemic Spreading on Activity-Driven Networks with Attractiveness
• Random walks on activity-driven networks with attractiveness
• The exploration of the Adjacent Possible explains the emergence and evolution of social networks
• Active and inactive quarantine in epidemic spreading on adaptive activity-driven networks
• Epidemic Spreading and Aging in Temporal Networks with Memory
• Dynamics on networks: competition of temporal and topological correlations
• Epidemic spreading on time-varying multiplex networks
• Self-initiated behavioural change and disease resurgence on activity-driven networks
• Burstiness in activity-driven networks and the epidemic threshold
• Stochastic sampling effects favor manual over digital contact tracing
• Directed Percolation in Random Temporal Network Models with Heterogeneities
• Preserving system activity while controlling epidemic spreading in adaptive temporal networks
• Critical dynamics of long range models on Dynamical Lévy Lattices