Name
Title | ||
|---|---|---|
How Complex Contagions Spread Quickly in Preferential Attachment Models and Other Time-Evolving Networks. |
Abstract | ||
|---|---|---|
The $k$ -complex contagion model is a social contagion model which describes the diffusion of behaviors in networks where the successful adoption of a behavior requires influence from multiple contacts. It has been argued that complex contagions better model behavioral changes such as adoption of new beliefs, fashion trends or expensive technology innovations. A contagion in this model starts from... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TNSE.2017.2718024 | IEEE Transactions on Network Science and Engineering |
Keywords | Field | DocType |
Mathematical model,Social network services,Stochastic processes,Analytical models | Emotional contagion,Binary logarithm,Discrete mathematics,Complex contagion,Vertex (geometry),Evolving networks,Network topology,Degree distribution,Preferential attachment,Mathematics | Journal |
Volume | Issue | ISSN |
4 | 4 | 2327-4697 |
Citations | PageRank | References |
3 | 0.43 | 27 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Roozbeh Ebrahimi | 1 | 23 | 3.62 |
| Jie Gao | 2 | 2174 | 155.61 |
| Golnaz Ghasemiesfeh | 3 | 22 | 3.96 |
| Grant Schoenebeck | 4 | 509 | 39.48 |