Modularity with a more accurate baseline model
We derive an expression for the exact probability Pr[i∼j] of a link between a node i with degree d_{i} and a node j with degree d_{j} in a graph belonging to the class of Erdős-Rényi G(N,L) random graphs with N nodes and L links. The probability Pr[i∼j] is commonly approximated as d_{i}d_{j}/2L and appears in the formula of Newman's modularity, which plays a crucial rule in community detection in networks. We show that, when applied to graphs not belonging to the class of Erdős-Rényi random graphs, our formula for Pr[i∼j] is considerably more accurate than d_{i}d_{j}/2L and leads to the detection of different clusters or partitions than the original modularity formula.
Authors
- Piet Van Mieghem (ORCID: https://orcid.org/0000-0002-3786-7922)
- Brian L. Chang (ORCID: https://orcid.org/0009-0004-7476-5898)
Institutions
- Delft University of Technology (NL)
Publication Details
- Journal
- Physical review. E
- Published
- 2025-04-25
- DOI
- https://doi.org/10.1103/physreve.111.044317
- Citations
- 1
- Primary Topic
- Complex Network Analysis Techniques
- Type
- article
- Field-Weighted Citation Impact
- 1.32
Funders
- European Research Council
- Horizon 2020