We present a technique using networks to detect intermediate level community structure within animal fission-fusion societies. The technique uses simulated annealing to optimise the quality of a proposed division of the network into communities. We also present a method that allows the statistical significance of the communities to be determined. We illustrate this technique by the detection of communities in systems of wild guppies and Galápagos sea lions. In each case, we show that this technique allows new levels of statistically significant structure to be revealed. In both cases, this allows new insights into the structure of the system under investigation.
|Title of host publication||Proceedings of AISB'06: Adaptation in Artificial and Biological Systems|
|Number of pages||2|
|Publication status||Published - 2006|