Name
Abstract | ||
|---|---|---|
We discuss how spreading processes on temporal networks are impacted by the shape of their inter-event time distributions. Through simple mathematical arguments and toy examples, we find that the key factor is the ordering in which events take place, a property that tends to be affected by the bulk of the distributions and not only by their tail, as usually considered in the literature. We show that a detailed modeling of the temporal patterns observed in complex networks can change dramatically the properties of a spreading process, such as the ergodicity of a random walk process or the persistence of an epidemic. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1140/epjb/e2013-40456-9 | European Physical Journal B |
Keywords | Field | DocType |
Statistical and Nonlinear Physics | Statistical physics,Ergodicity,Random walk,Burstiness,Complex network,Condensed matter physics,Physics | Journal |
Volume | Issue | ISSN |
abs/1305.0543 | 7 | 1434-6036 |
Citations | PageRank | References |
11 | 0.55 | 7 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Renaud Lambiotte | 1 | 920 | 64.98 |
| Lionel Tabourier | 2 | 90 | 8.85 |
| Jean-Charles Delvenne | 3 | 299 | 32.41 |