Name
Abstract | ||
|---|---|---|
The study of community structure became an important topic of research over the last years. But, while successfully applied in several areas, the concept lacks of a general and precise notion. Facts like the hierarchical structure and heterogeneity of complex networks make it difficult to unify the idea of community and its evaluation. The global functional known as modularity is probably the most used technique in this area. Nevertheless, its limits have been deeply studied. Local techniques as the one by Lancichinetti et al. (2009) [1] arose as an answer to the resolution limit and degeneracies that modularity has. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1016/j.physa.2013.01.031 | Physica A: Statistical Mechanics and its Applications |
Keywords | Field | DocType |
Community detection,Social networks,Complex systems | Complex system,Data mining,Community structure,Social network,Quantum mechanics,Theoretical computer science,Complex network,Mathematics,Modularity | Journal |
Volume | Issue | ISSN |
392 | 9 | 0378-4371 |
Citations | PageRank | References |
4 | 0.47 | 6 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mariano G. Beiró | 1 | 40 | 4.92 |
| Jorge Rodolfo Busch | 2 | 8 | 1.31 |
| Sebastian P. Grynberg | 3 | 4 | 0.47 |
| J. Ignacio Alvarez-hamelin | 4 | 143 | 13.31 |