Name
Abstract | ||
|---|---|---|
Social synchrony (SS) is an emergent phenomenon in human society. People often mimic others which, over time, can result in large groups behaving similarly. Drawing from prior empirical studies of SS in online communities, here we propose a discrete network model of SS based on four attributes: 1) depth of action; 2) breadth of impact, i.e., a large number of actions are performed with a large gro... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TCYB.2017.2696998 | IEEE Transactions on Cybernetics |
Keywords | Field | DocType |
Synchronization,Social network services,Software,Oscillators,Mathematical model,Numerical models,Cybernetics | Network formation,Computer science,Cognitive psychology,Artificial intelligence,Complex network,Phenomenon,Empirical research,Cybernetics,Distributed computing,Social group,Dynamic network analysis,Collective behavior,Machine learning | Journal |
Volume | Issue | ISSN |
48 | 5 | 2168-2267 |
Citations | PageRank | References |
5 | 0.43 | 29 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qi Xuan | 1 | 187 | 26.85 |
| Zhiyuan Zhang | 2 | 8 | 0.82 |
| Chenbo Fu | 3 | 29 | 3.13 |
| Hong-xiang Hu | 4 | 90 | 6.67 |
| Vladimir Filkov | 5 | 1503 | 75.32 |