Evolutionary graph theory beyond pairwise interactions: Higher-order network motifs shape times to fixation in structured populations

Yang Ping Kuo; Oana Carja

doi:10.1371/journal.pcbi.1011905

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Open Access

Peer-reviewed

Research Article

Evolutionary graph theory beyond pairwise interactions: Higher-order network motifs shape times to fixation in structured populations

Yang Ping Kuo,

Roles Conceptualization, Formal analysis, Writing – original draft, Writing – review & editing

Affiliations Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America, Joint Carnegie Mellon University-University of Pittsburgh Ph.D. Program in Computational Biology, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America

https://orcid.org/0000-0002-5211-3328

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Oana Carja

Roles Conceptualization, Formal analysis, Writing – original draft, Writing – review & editing

* E-mail: oana@cmu.edu

Affiliation Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America

https://orcid.org/0000-0002-4296-2326

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Evolutionary graph theory beyond pairwise interactions: Higher-order network motifs shape times to fixation in structured populations

Yang Ping Kuo,
Oana Carja

Published: March 15, 2024
https://doi.org/10.1371/journal.pcbi.1011905

About the Authors

Yang Ping Kuo

Roles Conceptualization, Formal analysis, Writing – original draft, Writing – review & editing

Affiliations Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America, Joint Carnegie Mellon University-University of Pittsburgh Ph.D. Program in Computational Biology, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America

https://orcid.org/0000-0002-5211-3328

Oana Carja

Roles Conceptualization, Formal analysis, Writing – original draft, Writing – review & editing

* E-mail: oana@cmu.edu

Affiliation Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America

https://orcid.org/0000-0002-4296-2326

Competing Interests

The authors have declared that no competing interests exist.

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Network motifs
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Optimization
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Evolutionary rate
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Evolutionary systematics
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Monte Carlo method
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Topology
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Natural selection
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