A dynamic individual-based model for high-resolution ant interactions

DOI10.1007/s13253-019-00363-5zbMath1427.92101OpenAlexW2935026695MaRDI QIDQ2009126

Ephraim M. Hanks, David P. Hughes, Nathan B. Wikle

Publication date: 27 November 2019

Published in: Journal of Agricultural, Biological, and Environmental Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s13253-019-00363-5

zbMATH Keywords

Markov processanimal contact networkant trophallaxiscamponotus pennsylvanicuslongitudinal network data

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12) Social networks; opinion dynamics (91D30) Animal behavior (92D50)

Uses Software

• R
• dynsbm
• epinet

Cites Work

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• Modeling collective animal movement through interactions in behavioral states
• Bayesian Inference for Contact Networks Given Epidemic Data
• Analyzing Social Networks As Stochastic Processes
• A dynamic model for social networks†
• Stochastic actor‐oriented models for network change
• Statistical Clustering of Temporal Networks Through a Dynamic Stochastic Block Model
• A Separable Model for Dynamic Networks

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