Name
Abstract | ||
|---|---|---|
We propose a novel, distributed approach for analyzing communities in social networks. In this approach, we define communities from two perspectives: local and global. Firstly, the local communities are identified by each node in a self-centred manner. Then, the global communities are captured using the notion of tendency among local communities. Our approach is especially suitable for decentralised and dynamic networks. We present formal definitions and experimentally verify our model on both static and dynamic networks. |
Year | Venue | Field |
|---|---|---|
2014 | PRICAI 2014: TRENDS IN ARTIFICIAL INTELLIGENCE | Dynamic network analysis,Local community,Social network,Computer science,Artificial intelligence,Machine learning |
DocType | Volume | ISSN |
Conference | 8862 | 0302-9743 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jiamou Liu | 1 | 3 | 0.77 |
| Ziheng Wei | 2 | 8 | 6.92 |