期刊
PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
卷 285, 期 1887, 页码 -出版社
ROYAL SOC
DOI: 10.1098/rspb.2018.0670
关键词
contact network; Lagrangian movement; tripartite tagging network; network projection; pathogen transmission
资金
- Penn State Academic computing fellowship
- National Science Foundation Ecology of Infectious Diseases grant [1216054]
- Division Of Environmental Biology
- Direct For Biological Sciences [1216054] Funding Source: National Science Foundation
Ecologists regularly use animal contact networks to describe interactions underlying pathogen transmission, gene flow, and information transfer. However, empirical descriptions of contact often overlook some features of individual movement, and decisions about what kind of network to use in a particular setting are commonly ad hoc. Here, we relate individual movement trajectories to contact networks through a tripartite network model of individual, space, and time nodes. Most networks used in animal contact studies (e.g. individual association networks, home range overlap networks, and spatial networks) are simplifications of this tripartite model. The tripartite structure can incorporate a broad suite of alternative ecological metrics like home range sizes and patch occupancy patterns into inferences about contact network metrics such as modularity and degree distribution. We demonstrate the model's utility with two simulation studies using alternative forms of ecological data to constrain the tripartite network's structure and inform expectations about the harder-to-measure metrics related to contact.
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