Name
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. |
Year | Venue | Field |
|---|---|---|
2016 | arXiv: Physics and Society | Social network,Computer science,Burstiness,Artificial intelligence,Social dynamics,Reinforcement,Network model |
DocType | Volume | Citations |
Journal | abs/1607.08910 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Enrico Ubaldi | 1 | 1 | 0.69 |
| Alessandro Vezzani | 2 | 0 | 1.35 |
| Márton Karsai | 3 | 422 | 30.42 |
| Nicola Perra | 4 | 419 | 25.82 |
| Raffaella Burioni | 5 | 0 | 2.03 |