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Using multilayer network analysis to explore the temporal dynamics of collective behavior.

David N Fisher1,2, Noa Pinter-Wollman3

  • 1Department of Psychology, Neuroscience, & Behaviour, McMaster University, Hamilton, ON L8S 4K1, Canada.

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Social spiders show dynamic interactions, but network stability doesn't affect collective hunting speed. Bold individuals maintain consistent social connections over time, revealing a link between boldness and social structure.

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Area of Science:

  • Behavioral Ecology
  • Network Science
  • Animal Behavior

Background:

  • Collective behaviors in social organisms emerge from dynamic interactions.
  • Quantifying temporal changes in social interactions and network stability remains challenging.
  • Understanding these dynamics is crucial for explaining collective behaviors.

Purpose of the Study:

  • To quantify temporal dynamics of social networks in the social spider Stegodyphus dumicola.
  • To determine how these dynamics relate to individual and group behaviors.
  • To assess the influence of network stability on collective behavior.

Main Methods:

  • Utilized multilayer network analysis to model dynamic social networks.
  • Quantified changes in social interactions over time.
  • Correlated network structure and individual traits with collective prey attack speed.

Main Results:

  • Social interactions changed at a constant rate.
  • Network structure and keystone individual identity did not influence collective prey attack speed.
  • Bold individuals maintained stable social connections despite network changes.

Conclusions:

  • Social interactions and boldness are linked across time in S. dumicola.
  • Group collective behavior is not influenced by social network stability.
  • Multilayer network analysis provides a framework for studying dynamic social structures.