論文

筆頭著者 責任著者
2021年1月27日

Bipartite network analysis of ant-task associations reveals task groups and absence of colonial daily activity

Royal Society Open Science
  • Haruna Fujioka
  • ,
  • Yasukazu Okada
  • ,
  • Masato S. Abe

8
1
開始ページ
201637
終了ページ
201637
記述言語
掲載種別
研究論文(学術雑誌)
DOI
10.1098/rsos.201637
出版者・発行元
The Royal Society

Social insects are one of the best examples of complex self-organized systems exhibiting task allocation. How task allocation is achieved is the most fascinating question in behavioural ecology and complex systems science. However, it is difficult to comprehensively characterize task allocation patterns due to behavioural complexity, such as the individual variation, context dependency and chronological variation. Thus, it is imperative to quantify individual behaviours and integrate them into colony levels. Here, we applied bipartite network analyses to characterize individual-behaviour relationships. We recorded the behaviours of all individuals with verified age in ant colonies and analysed the individual-behaviour relationship at the individual, module and network levels. Bipartite network analysis successfully detected the module structures, illustrating that certain individuals performed a subset of behaviours (i.e. task groups). We confirmed age polyethism by comparing age between modules. Additionally, to test the daily rhythm of the executed tasks, the data were partitioned between daytime and nighttime, and a bipartite network was re-constructed. This analysis supported that there was no daily rhythm in the tasks performed. These findings suggested that bipartite network analyses could untangle complex task allocation patterns and provide insights into understanding the division of labour.

リンク情報
DOI
https://doi.org/10.1098/rsos.201637
URL
https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.201637
URL
https://royalsocietypublishing.org/doi/full-xml/10.1098/rsos.201637
Scopus
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85100926242&origin=inward 本文へのリンクあり
Scopus Citedby
https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85100926242&origin=inward
ID情報
  • DOI : 10.1098/rsos.201637
  • eISSN : 2054-5703
  • SCOPUS ID : 85100926242

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