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Cited by 189

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Limited resolution in complex network community detection with Potts model approach

Open access
Kumpula, J. M., Saramäki, J., Kaski, K., Kertész, J.·2007·The European Physical Journal B

Abstract

Abstract.According to Fortunato and Barthélemy, modularity-based community detection algorithms have a resolution threshold such that small communities in a large network are invisible. Here we generalize their work and show that the q-state Potts community detection method introduced by Reichardt and Bornholdt also has a resolution threshold. The model contains a parameter by which this threshold can be tuned, but no a priori principle is known to select the proper value. Single global optimization criteria do not seem capable for detecting all communities if their size distribution is broad.

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Metadata

Authors
Kumpula, J. M., Saramäki, J., Kaski, K., & Kertész, J.
Venue
The European Physical Journal B
Published
2007-03
Volume
56
Issue
1
Pages
41-45
ISSN
  • 1434-6028 (ISSN-L)
  • 1434-6036
OpenAlex
W2019009079
Cited by
189
References
4
FWCI
14.57
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Limited resolution in complex network community detection with Potts model approach. https://app.cochat.ai/papers/10.1140/epjb/e2007-00088-4
The paper
Kumpula, J. M., Saramäki, J., Kaski, K., & Kertész, J. (2007). Limited resolution in complex network community detection with Potts model approach. The European Physical Journal B. https://doi.org/10.1140/epjb/e2007-00088-4

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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.