Fig. 3
From: Dynamic Modular Networks Model Mediated by Confinement
From an initial random network of size N=104 and 〈k〉=4, the confinement dynamics creates a stable and more complex network. The figure shows the effect of a single confined space, where the dynamics parameters are ps=0.025 and pf=0.00275. In this visual representation of the resulting network a force algorithm is used for node positioning (Jacomy et al. 2014), resulting in strongly connected nodes being grouped together. Upper panel: nodes are color coded according to the resulting partitioning of the community detection algorithm (Blondel et al. 2008). Lower Panel: With the same node and link disposition, nodes are color coded as confined in red or free in blue. During the dynamics, nodes enter and leave confinement, and links are rewired, but the general characteristics of the network remain the same. There is clear overlap between one of the communities of the upper panel (the gray one on the right side) and the confinement of the lower panel