Network-based model of the growth of termite nests

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
Young-Ho EomChristian Jost

Abstract

We present a model for the growth of the transportation network inside nests of the social insect subfamily Termitinae (Isoptera, termitidae). These nests consist of large chambers (nodes) connected by tunnels (edges). The model based on the empirical analysis of the real nest networks combined with pruning (edge removal, either random or weighted by betweenness centrality) and a memory effect (preferential growth from the latest added chambers) successfully predicts emergent nest properties (degree distribution, size of the largest connected component, average path lengths, backbone link ratios, and local graph redundancy). The two pruning alternatives can be associated with different genuses in the subfamily. A sensitivity analysis on the pruning and memory parameters indicates that Termitinae networks favor fast internal transportation over efficient defense strategies against ant predators. Our results provide an example of how complex network organization and efficient network properties can be generated from simple building rules based on local interactions and contribute to our understanding of the mechanisms that come into play for the formation of termite networks and of biological transportation networks in general.

References

Jan 1, 1991·Annual Review of Neuroscience·R W Oppenheim
Mar 1, 1982·Developmental Biology·G L Shipley, C E Holt
Sep 23, 1998·Neural Computation·G ChechikE Ruppin
Jun 13, 2002·Proceedings of the National Academy of Sciences of the United States of America·M Girvan, M E J Newman
Mar 24, 2005·Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics·Shalev Itzkovitz, Uri Alon
Aug 10, 2005·Proceedings. Biological Sciences·Ruth E FalconerJohn W Crawford
Aug 18, 2006·Journal of Theoretical Biology·Jérôme BuhlGuy Theraulaz
Jun 4, 2008·Physical Review Letters·Marc Barthélemy, Alessandro Flammini
Aug 8, 2009·Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics·Sergi ValverdeRicard V Solé
Oct 23, 2009·Proceedings of the National Academy of Sciences of the United States of America·Etienne ToffinJean-Louis Deneubourg
Aug 3, 2010·Journal of Insect Science·Walter R Tschinkel
Aug 3, 2010·Journal of Insect Science·Walter R Tschinkel
Jun 7, 2011·Nature Reviews. Microbiology·Roger R Lew
Aug 19, 2011·Journal of the Royal Society, Interface·Nicholas J MinterKatharine A Robson Brown
Jan 10, 2012·Journal of Insect Science·Walter R Tschinkel
Mar 6, 2012·Scientific Reports·Emanuele StranoMarc Barthélemy
Jul 26, 2012·PLoS Computational Biology·Andrea PernaDavid J T Sumpter
Dec 28, 2012·Journal of the Royal Society, Interface·Qi MaDavid J T Sumpter
Aug 29, 2014·Journal of the Royal Society, Interface·Andrea Perna, Tanya Latty
Oct 21, 2014·PloS One·Jacques GautraisGuy Theraulaz

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Citations

Jul 4, 2018·Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences·Tasos VaroudisJames S Waters
Oct 3, 2020·Computational and Structural Biotechnology Journal·Sebastian OberstTheodore A Evans

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