ClueNet: Clustering a temporal network based on topological similarity rather than denseness

Joseph Crawford; Tijana Milenković

doi:10.1371/journal.pone.0195993

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Open Access

Peer-reviewed

Research Article

ClueNet: Clustering a temporal network based on topological similarity rather than denseness

Joseph Crawford,

Roles Conceptualization, Data curation, Formal analysis, Methodology, Software, Validation, Writing – original draft, Writing – review & editing

Affiliations Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN, United States of America, ECK Institute of Global Health, University of Notre Dame, Notre Dame, IN, United States of America, Interdisciplinary Center for Network Science and Applications (iCeNSA), University of Notre Dame, Notre Dame, IN, United States of America

http://orcid.org/0000-0002-5010-8322

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Tijana Milenković

Roles Conceptualization, Funding acquisition, Investigation, Project administration, Supervision, Writing – original draft, Writing – review & editing

* E-mail: tmilenko@nd.edu

Affiliations Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN, United States of America, ECK Institute of Global Health, University of Notre Dame, Notre Dame, IN, United States of America, Interdisciplinary Center for Network Science and Applications (iCeNSA), University of Notre Dame, Notre Dame, IN, United States of America
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ClueNet: Clustering a temporal network based on topological similarity rather than denseness

Joseph Crawford,
Tijana Milenković

Published: May 8, 2018
https://doi.org/10.1371/journal.pone.0195993

About the Authors

Joseph Crawford

Roles Conceptualization, Data curation, Formal analysis, Methodology, Software, Validation, Writing – original draft, Writing – review & editing

Affiliations Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN, United States of America, ECK Institute of Global Health, University of Notre Dame, Notre Dame, IN, United States of America, Interdisciplinary Center for Network Science and Applications (iCeNSA), University of Notre Dame, Notre Dame, IN, United States of America

http://orcid.org/0000-0002-5010-8322

Tijana Milenković

Roles Conceptualization, Funding acquisition, Investigation, Project administration, Supervision, Writing – original draft, Writing – review & editing

* E-mail: tmilenko@nd.edu

Competing Interests

The authors have declared that no competing interests exist.

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Social networks
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Clustering algorithms
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Protein interaction networks
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Consensus clustering
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Topology
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