A Method for Analyzing Community Dynamics in Temporal Networks Applied to Emotional Recollection in fMRI Data
Abstract
Temporal networks exhibit evolving patterns of connectivity, making the study of community organization a critical component of their analysis. Communities within a network are characterized by entities displaying higher interconnectivity within the community than outside it. In temporal networks, these communities can change over time, requiring a more nuanced analysis compared to static networks. However, there is a scarcity of statistical tools designed to quantify and compare dynamic community organization in temporal networks. In this study, we introduce a measure tailored for this purpose. We use this measure to discriminate between functional brain networks in which subjects were tasked with recollecting different emotional states under fMRI.