Mutual Information as a General Measure of Structure in Interaction Networks

Autor(es)

Corso, Gilberto ^[1] ; Ferreira, Gabriel M. F. ^[2] ; Lewinsohn, Thomas M. ^{[2, 3]}

Afiliação do(s) autor(es)

^[1] Univ Fed Rio Grande do Norte UFRN, Ctr Biociencias, Dept Biofis & Farmacol, BR-59072970 Natal, RN - Brazil

^[2] Univ Estadual Campinas UNICAMP, Inst Biol, Dept Biol Anim, CP 6109, BR-13083970 Campinas, SP - Brazil

^[3] Wissensch Kolleg Berlin, D-14193 Berlin - Germany

• Tipo de documento: Artigo Científico
• Fonte: Entropy; v. 22, n. 5 MAY 2020.
• Citações Web of Science: 0

Resumo

Entropy-based indices are long-established measures of biological diversity, nowadays used to gauge partitioning of diversity at different spatial scales. Here, we tackle the measurement of diversity of interactions among two sets of organisms, such as plants and their pollinators. Actual interactions in ecological communities are depicted as bipartite networks or interaction matrices. Recent studies concentrate on distinctive structural patterns, such as nestedness or modularity, found in different modes of interaction. By contrast, we investigate mutual information as a general measure of structure in interactive networks. Mutual information (MI) measures the degree of reciprocal matching or specialization between interacting organisms. To ascertain its usefulness as a general measure, we explore (a) analytical solutions for different models; (b) the response of MI to network parameters, especially size and occupancy; (c) MI in nested, modular, and compound topologies. MI varies with fundamental matrix parameters: dimension and occupancy, for which it can be adjusted or normalized. Apparent differences among topologies are contingent on dimensions and occupancy, rather than on topological patterns themselves. As a general measure of interaction structure, MI is applicable to conceptually and empirically fruitful analyses, such as comparing similar ecological networks along geographical gradients or among interaction modalities in mutualistic or antagonistic networks. (AU)

• Processo FAPESP: 16/24821-1 - Diversidade genética e estruturação de interações insetos-plantas
• Beneficiário: Thomas Michael Lewinsohn
• Modalidade de apoio: Auxílio à Pesquisa - Regular