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Disentangling the information in species interaction networks

Michiel Stock (UGent) , Laura Hoebeke (UGent) and Bernard De Baets (UGent)
(2021) ENTROPY. 23(6).
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Abstract
Shannon’s entropy measure is a popular means for quantifying ecological diversity. We explore how one can use information-theoretic measures (that are often called indices in ecology) on joint ensembles to study the diversity of species interaction networks. We leverage the little-known balance equation to decompose the network information into three components describing the species abundance, specificity, and redundancy. This balance reveals that there exists a fundamental trade-off between these components. The decomposition can be straightforwardly extended to analyse networks through time as well as space, leading to the corresponding notions for alpha, beta, and gamma diversity. Our work aims to provide an accessible introduction for ecologists. To this end, we illustrate the interpretation of the components on numerous real networks. The corresponding code is made available to the community in the specialised Julia package EcologicalNetworks.jl.
Keywords
General Physics and Astronomy, information theory, species interaction networks, diversity, effective numbers, DIVERSITY, STRENGTH, ENTROPY, ECOLOGY

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Citation

Please use this url to cite or link to this publication:

MLA
Stock, Michiel, et al. “Disentangling the Information in Species Interaction Networks.” ENTROPY, vol. 23, no. 6, 2021, doi:10.3390/e23060703.
APA
Stock, M., Hoebeke, L., & De Baets, B. (2021). Disentangling the information in species interaction networks. ENTROPY, 23(6). https://doi.org/10.3390/e23060703
Chicago author-date
Stock, Michiel, Laura Hoebeke, and Bernard De Baets. 2021. “Disentangling the Information in Species Interaction Networks.” ENTROPY 23 (6). https://doi.org/10.3390/e23060703.
Chicago author-date (all authors)
Stock, Michiel, Laura Hoebeke, and Bernard De Baets. 2021. “Disentangling the Information in Species Interaction Networks.” ENTROPY 23 (6). doi:10.3390/e23060703.
Vancouver
1.
Stock M, Hoebeke L, De Baets B. Disentangling the information in species interaction networks. ENTROPY. 2021;23(6).
IEEE
[1]
M. Stock, L. Hoebeke, and B. De Baets, “Disentangling the information in species interaction networks,” ENTROPY, vol. 23, no. 6, 2021.
@article{8710871,
  abstract     = {{Shannon’s entropy measure is a popular means for quantifying ecological diversity. We explore how one can use information-theoretic measures (that are often called indices in ecology) on joint ensembles to study the diversity of species interaction networks. We leverage the little-known balance equation to decompose the network information into three components describing the species abundance, specificity, and redundancy. This balance reveals that there exists a fundamental trade-off between these components. The decomposition can be straightforwardly extended to analyse networks through time as well as space, leading to the corresponding notions for alpha, beta, and gamma diversity. Our work aims to provide an accessible introduction for ecologists. To this end, we illustrate the interpretation of the components on numerous real networks. The corresponding code is made available to the community in the specialised Julia package EcologicalNetworks.jl.}},
  articleno    = {{703}},
  author       = {{Stock, Michiel and Hoebeke, Laura and De Baets, Bernard}},
  issn         = {{1099-4300}},
  journal      = {{ENTROPY}},
  keywords     = {{General Physics and Astronomy,information theory,species interaction networks,diversity,effective numbers,DIVERSITY,STRENGTH,ENTROPY,ECOLOGY}},
  language     = {{eng}},
  number       = {{6}},
  pages        = {{21}},
  title        = {{Disentangling the information in species interaction networks}},
  url          = {{http://dx.doi.org/10.3390/e23060703}},
  volume       = {{23}},
  year         = {{2021}},
}

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