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Cited by 615

The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.

Line graphs, link partitions, and overlapping communities

Open access
Evans, T. S., Lambiotte, R.·2009·Physical Review E

Abstract

In this paper, we use a partition of the links of a network in order to uncover its community structure. This approach allows for communities to overlap at nodes so that nodes may be in more than one community. We do this by making a node partition of the line graph of the original network. In this way we show that any algorithm that produces a partition of nodes can be used to produce a partition of links. We discuss the role of the degree heterogeneity and propose a weighted version of the line graph in order to account for this.

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Metadata

Authors
Evans, T. S., & Lambiotte, R.
Venue
Physical Review E
Published
2009-07-09
Volume
80
Issue
1
Pages
016105-016105
ISSN
  • 1539-3755 (ISSN-L)
  • 1550-2376
OpenAlex
W2042276255
Cited by
615
References
23
FWCI
25.01
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Line graphs, link partitions, and overlapping communities. https://app.cochat.ai/papers/10.1103/physreve.80.016105
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Evans, T. S., & Lambiotte, R. (2009). Line graphs, link partitions, and overlapping communities. Physical Review E. https://doi.org/10.1103/physreve.80.016105

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.