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PRODID:-//University of Utah Math Department//Network-data analytics for multilayer and temporal networks//EN
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X-WR-CALNAME:Network-data analytics for multilayer and temporal networks
X-WR-CALDESC:Network-data analytics for multilayer and temporal networks at University of Utah Mathematics Department
X-WR-TIMEZONE:America/Denver
BEGIN:VEVENT
UID:20170112T160000-dane-taylor@math.utah.edu
DTSTART;TZID=America/Denver:20170112T160000
DTEND;TZID=America/Denver:20170112T170000
DTSTAMP:20260922T150858Z
SUMMARY:Network-data analytics for multilayer and temporal networks
DESCRIPTION:Speaker: Dane Taylor\, University of North Carolina, Chapel Hill\n\nMany 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 …

LOCATION:JWB 335

URL:https://www.math.utah.edu/research/colloquia/2017-01-12-dane-taylor/
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