Stable Overlapping Replicator Dynamics for Brain Community Detection

—A fundamental means for understanding the brain’s organizational structure is to group its spatially disparate regions into functional subnetworks based on their interactions. Most community detection techniques are designed for generating partitions, but certain brain regions are known to interact with multiple subnetworks. Thus, the brain’s underlying subnetworks necessarily overlap. In this paper, we propose a technique for identifying overlapping subnetworks from weighted graphs with statistical control over false node inclusion. Our technique improves upon the replicator dynamics formulation by incorporating a graph augmentation strategy to enable subnetwork overlaps, and a graph incrementation scheme for merging subnetworks that might be falsely split by replicator dynamics due to its stringent mutual similarity criterion in defining subnetworks. To statistically control for inclusion of false nodes into the detected subnetworks, we further present a procedure for integrat...

• Type: Journal
• Year: 2016
• Where: TMI
• Authors: Burak Yoldemir, Bernard Ng, Rafeef Abugharbieh
• Keywords: Knowledge Management, TMI 2016