A Method for Analyzing Community Dynamics in Temporal Networks Applied to Emotional Recollection in fMRI Data

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.

Name thesis:degree_name

M Sc

Discipline thesis:degree_discipline

Computer Science

Grantor dc:publisher

The University of Western Ontario

Year dc:date.issued

2024

Author dc:creator

• Wood, Casey J

Advisor dc:contributor.advisor

• Daley, Mark

• Temporal Networks
• Modularity
• Community Dynamics
• fMRI
• Brain Networks

Language dc:language.iso

en_ca

Handle dc:identifier.uri

https://hdl.handle.net/20.500.14721/33238

OAI identifier oai:identifier

oai:uwo.scholaris.ca:20.500.14721/33238