Influence of number of individuals and observations per individual on a model of community structure.

ABSTRACT: Social network analysis is increasingly applied to understand animal groups. However, it is rarely feasible to observe every interaction among all individuals in natural populations. Studies have assessed how missing information affects estimates of individual network positions, but less attention has been paid to metrics that characterize overall network structure such as modularity, clustering coefficient, and density. In cases such as groups displaying fission-fusion dynamics, where subgroups break apart and rejoin in changing conformations, missing information may affect estimates of global network structure differently than in groups with distinctly separated communities due to the influence single individuals can have on the connectivity of the network. Using a bat maternity group sh

SUBMITTER: Sunga J 

PROVIDER: S-EPMC8211201 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature