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Philippe Lenca

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Vinh-Loc Dao

> Home > Persons > Philippe Lenca

Publications

2021
[j19]
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  dblp key:
  - journals/snam/DaoBL21
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  - https://dblp.org/rec/journals/snam/DaoBL21
Vinh-Loc Dao, Cécile Bothorel, Philippe Lenca:
An empirical characterization of community structures in complex networks using a bivariate map of quality metrics. Soc. Netw. Anal. Min. 11(1): 37 (2021)
2020
[j18]
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  dblp key:
  - journals/netsci/DaoBL20
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  - https://dblp.org/rec/journals/netsci/DaoBL20
Vinh-Loc Dao, Cécile Bothorel, Philippe Lenca:
Community structure: A comparative evaluation of community detection methods. Netw. Sci. 8(1): 1-41 (2020)
2018
[c37]
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  dblp key:
  - conf/complexnetworks/DaoBL18
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  - https://dblp.org/rec/conf/complexnetworks/DaoBL18
Vinh-Loc Dao, Cécile Bothorel, Philippe Lenca:
Estimating the Similarity of Community Detection Methods Based on Cluster Size Distribution. COMPLEX NETWORKS (1) 2018: 183-194
[i4]
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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-1806-01386
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  - https://dblp.org/rec/journals/corr/abs-1806-01386
Vinh-Loc Dao, Cécile Bothorel, Philippe Lenca:
An empirical characterization of community structures in complex networks using a bivariate map of quality metrics. CoRR abs/1806.01386 (2018)
[i3]
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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-1812-06598
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  - https://dblp.org/rec/journals/corr/abs-1812-06598
Vinh-Loc Dao, Cécile Bothorel, Philippe Lenca:
Community structure: A comparative evaluation of community detection methods. CoRR abs/1812.06598 (2018)
2017
[c35]
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  dblp key:
  - conf/asunam/DaoBL17
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  - https://dblp.org/rec/conf/asunam/DaoBL17
Vinh-Loc Dao, Cécile Bothorel, Philippe Lenca:
Community detection methods can discover better structural clusters than ground-truth communities. ASONAM 2017: 395-400

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