Back to Departmental Colloquium: Spring 2017
Departmental Colloquium
Date: Thursday, Jan 12, 2017
Time: 4:00PM
Location: JWB 335
Dane Taylor
University of North Carolina, Chapel Hill
Title |
Network-data analytics for multilayer and temporal networks |
Abstract |
Many datasets are best represented by multilayer networks in which layers encode different types of connections such as categorical social ties, interconnected infrastructures, or a network at different instances in time. Because most techniques to analyze networks have been developed for single-layer networks, extending theory to the multilayer and temporal settings is an important pursuit in applied mathematics, statistics, and the myriad applications that involve networks. I will describe my recent research in this area, surveying several network-analysis techniques including manifold learning, community detection, and centrality analysis. To provide narrative, I will focus on describing the tradeoffs between two strategies that account for multiple layers: they can be aggregated (yielding a single network) or coupled together (giving rise to inter-layer and intra-layer edges). I will show that the limit of strong inter-layer coupling effectively aggregates layers, providing an important bridge between these two strategies. |
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