Name
Abstract | ||
|---|---|---|
The dynamical origin of complex networks, i.e., the underlying principles governing network evolution, is a crucial issue in network study. In this paper, by carrying out analysis to the temporal data of Flickr and Epinions-two typical social media networks, we found that the dynamical pattern in neighborhood, especially the formation of triadic links, plays a dominant role in the evolution of networks. We thus proposed a coevolving dynamical model for such networks, in which the evolution is only driven by the local dynamics-the preferential triadic closure. Numerical experiments verified that the model can reproduce global properties which are qualitatively consistent with the empirical observations. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1038/srep02512 | SCIENTIFIC REPORTS |
Field | DocType | Volume |
Social media,Empirical evidence,Computer science,Triadic closure,Temporal database,Complex network,Artificial intelligence | Journal | 3 |
ISSN | Citations | PageRank |
2045-2322 | 9 | 0.60 |
References | Authors | |
12 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Menghui Li | 1 | 19 | 4.07 |
| Zou Hailin | 2 | 45 | 4.70 |
| Guan Shuguang | 3 | 17 | 2.65 |
| Xiao-Feng Gong | 4 | 123 | 19.33 |
| Li Kun | 5 | 14 | 1.14 |
| Zengru Di | 6 | 149 | 18.49 |
| Choy Heng Lai | 7 | 50 | 6.53 |