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Conducting social network analysis with animal telemetry data: Applications and methods using spatsoc
Author(s) -
Robitaille Alec L.,
Webber Quinn M. R.,
Vander Wal Eric
Publication year - 2019
Publication title -
methods in ecology and evolution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.425
H-Index - 105
ISSN - 2041-210X
DOI - 10.1111/2041-210x.13215
Subject(s) - telemetry , georeference , computer science , social network analysis , biotelemetry , social network (sociolinguistics) , data mining , r package , telecommunications , geography , social media , world wide web , computational science , physical geography
We present spatsoc , an r package for conducting social network analysis with animal telemetry data. Animal social network analysis is a method for measuring relationships between individuals to describe social structure. Proximity‐based social networks are generated from animal telemetry data by grouping relocations temporally and spatially, using thresholds that are informed by the characteristics of the species and study system. spatsoc fills a gap in r packages by providing flexible functions, explicitly for animal telemetry data, to generate edge lists and gambit‐of‐the‐group data, perform data‐stream randomization, and generate group by individual matrices. The implications of spatsoc are that current users of animal telemetry or otherwise georeferenced data for movement or spatial analyses will have access to efficient and intuitive functions to generate social networks.