A dynamical perspective to community detection in ecological networks

Farage, C.; Edler, D.; Eklöf, A.; Rosvall, M.; Pilosof, S.

doi:10.1101/2020.04.14.040519

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bioRxiv · 10.1101/2020.04.14.040519

A dynamical perspective to community detection in ecological networks

Farage, C.·Edler, D.·Eklöf, A.·Rosvall, M.·Pilosof, S.

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Abstract

O_LIAnalysing how species interact in modules is a fundamental problem in network ecology. Theory shows that a modular network structure can reveal underlying dynamic ecological and evolutionary processes, influence dynamics that operate on the network and affect the stability of the ecological system. C_LIO_LIAlthough many ecological networks describe flows, such as biomass flows in food webs or disease trans-mission, most modularity analyses have ignored network flows, which can hinder our understanding of the interplay between structure and dynamics. C_LIO_LIHere we present Infomap, an established method based on network flows to the field of ecological networks. Infomap is a flexible tool that can identify modules in virtually any type of ecological network and is particularly useful for directed, weighted and multilayer networks. We illustrate how Infomap works on all these network types. We also provide a fully documented repository with additional ecological examples. Finally, to help researchers analyse their networks with Infomap, we introduce the open source R package infomapecology. C_LIO_LIAnalysing flow-based modularity is useful across ecology and transcends to other biological and non-biological disciplines. A dynamic approach for detecting modular structure has strong potential to provide new insights into the organisation of ecological networks. C_LI

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Farage, C., Edler, D., Eklöf, A., Rosvall, M., Pilosof, S.. 2020-04-14. A dynamical perspective to community detection in ecological networks. https://doi.org/10.1101/2020.04.14.040519

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