Name
Abstract | ||
|---|---|---|
Community structure is one of the key properties of real-world complex networks. It plays a crucial role in their behaviors and topology. While an important work has been done on the issue of community detection, very little attention has been devoted to the analysis of the community structure. In this paper, we present an extensive investigation of the overlapping community network deduced from a large-scale co-authorship network. The nodes of the overlapping community network rep-resent the functional communities of the co-authorship network, and the links account for the fact that communities share some nodes in the co-authorship network. The comparative evaluation of the topological properties of these two networks shows that they share similar topological properties. These results are very interesting. Indeed, the network of communities seems to be a good representative of the original co-authorship network. With its smaller size, it may be more practical in order to realize various analyses that cannot be performed easily in large-scale real-world networks. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/UNESST.2014.11 | UNESST '14 Proceedings of the 2014 7th International Conference on u- and e- Service, Science and Technology |
Keywords | Field | DocType |
correlation,complex networks | Network science,Dynamic network analysis,Interdependent networks,Community structure,Community network,Computer science,Evolving networks,Theoretical computer science,Hierarchical network model,Complex network,Distributed computing | Journal |
Volume | Citations | PageRank |
abs/1504.00247 | 3 | 0.39 |
References | Authors | |
3 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Malek Jebabli | 1 | 8 | 1.51 |
| Hocine Cherifi | 2 | 4 | 0.78 |
| Chantal Cherifi | 3 | 7 | 2.15 |
| Atef Hamouda | 4 | 40 | 12.57 |