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PreprintCC BY-SA 4.0arXiv

The number of communities in real networks grows as a power law of their size

Abstract

Most networks, from friendships to the internet, break up into communities: groups of nodes more densely connected to one another than to the rest. A basic question has remained open: how many communities should a network have, and how does that number grow with size? Simple models bracket the possibilities. In a small-world network built from dense modules -- a caveman graph of cliques -- each module is a community, so the number grows in proportion to size, as n. In self-similar, fractal networks it grows far more slowly, as the square root. Real networks could lie anywhere between. Here we measure the number of communities across close to a hundred real networks spanning four orders of magnitude, from a $34$-member club to millions of nodes, and within individual systems followed over decades as they grow. We find a power law with an exponent between one half and two thirds -- above the fractal value and below the linear limit. Simple models of network growth by local rules reproduce the same super-fractal exponent, a stable and measurable property of network organization. In short, network evolution herds a system's components into clusters, whose number grows as a power law of size.

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BibTeX
@misc{vazquez2026number,
  title = {{The number of communities in real networks grows as a power law of their size}},
  author = {Alexei Vazquez},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2609.18962},
  eprint = {2609.18962},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.18962},
  note = {CC BY-SA 4.0},
}
RIS
TY  - UNPB
TI  - The number of communities in real networks grows as a power law of their size
AU  - Alexei Vazquez
PY  - 2026
DA  - 2026/09/01
PB  - arXiv
DO  - 10.48550/arxiv.2609.18962
UR  - https://arxiv.org/abs/2609.18962
AB  - Most networks, from friendships to the internet, break up into communities: groups of nodes more densely connected to one another than to the rest. A basic question has remained open: how many communities should a network have, and how does that number grow with size? Simple models bracket the possibilities. In a small-world network built from dense modules -- a caveman graph of cliques -- each module is a community, so the number grows in proportion to size, as n. In self-similar, fractal networks it grows far more slowly, as the square root. Real networks could lie anywhere between. Here we measure the number of communities across close to a hundred real networks spanning four orders of magnitude, from a $34$-member club to millions of nodes, and within individual systems followed over decades as they grow. We find a power law with an exponent between one half and two thirds -- above the fractal value and below the linear limit. Simple models of network growth by local rules reproduce the same super-fractal exponent, a stable and measurable property of network organization. In short, network evolution herds a system's components into clusters, whose number grows as a power law of size.
ER  -