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University of Cambridge > Talks.cam > Isaac Newton Institute Seminar Series > Extracting more from biotelemetry data: inferring social Interactions and their nature from spatial proximity
Extracting more from biotelemetry data: inferring social Interactions and their nature from spatial proximityAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact nobody. MMVW03 - Measures and Representations of Interactions In this talk will cover a randomization method I’ve suggested a few years ago to establish a null model for observed encounters in spatial proximity social networks (Spiegel et al 2016 Method Ecol Evol). Then, some applications of this approach to real-life animal systems (Spiegel et al 2018 Anim Behav). And also a few recent attempts to infer the context of different interaction types and their relative contribution to the overall social structure (Sharma et al 2022 Ecol& Evol; Webber et al 2023 Biol Reviews) This talk is part of the Isaac Newton Institute Seminar Series series. This talk is included in these lists:
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