Stability in flux: Community structure in dynamic networks
J Bryden, S Funk, N Geard, S Bullock, VAA Jansen
Journal of the Royal Society Interface | The Royal Society | Published : 2010
The structure of many biological, social and technological systems can usefully be described in terms of complex networks. Although often portrayed as fixed in time, such networks are inherently dynamic, as the edges that join nodes are cut and rewired, and nodes themselves update their states. Understanding the structure of these networks requires us to understand the dynamic processes that create, maintain and modify them. Here, we build upon existing models of coevolving networks to characterize how dynamic behaviour at the level of individual nodes generates stable aggregate behaviours. We focus particularly on the dynamics of groups of nodes formed endogenously by nodes that share simil..View full abstract
Awarded by UK Engineering and Physical Sciences Research Council
Awarded by NSF
Awarded by Engineering and Physical Sciences Research Council
This research was funded by the UK Engineering and Physical Sciences Research Council through standard research grant number EP/D002249/1. Sebastian Funk gratefully acknowledges support from USAID PREDICT and NSF grant HSD-0525216.