Modularity compares the actual number of edges inside communities with the expected number of edges. The expected number of edges is calculated with a null model that assumes random wiring process in the whole network. As a result, the size of network determines the minimum size of community that the modularity can identify.
Papers to read #
- Narrow scope for resolution-limit-free community detection
- The map equation and the resolution limit in community detection
References #
- Santo Fortunato and Marc Barthélemy (2007). "Resolution limit in community detection". PNAS 104: 36-41. doi:10.1073/pnas.0605965104. http://www.pnas.org/content/104/1/36
Incoming Links #
Related Articles (Article 0) #
Suggested Pages #
- 0.107 Community detectability
- 0.097 Modular structure of brain
- 0.088 Community
- 0.080 Pajek
- 0.070 Dynamic community structure
- 0.064 Community evolution
- 0.049 Block model
- 0.048 Information diffusion and communities
- 0.047 Temporal community structure
- 0.041 Clustering
- More suggestions...