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Math Colloquium: Network Analysis in Social and Brain Networks
4:10pm, Neill 5W
Dr. Lazaros Gallos
WSU-Vancouver Statistics Candidate Abstract: Network science has grown rapidly over the past 15 years, providing the tools to make sense of complex relations in Big Data. This non-traditional approach offers alternative methods of analyzing existing datasets. In this talk I will review two such analyses: a) The geographical spreading of obesity, where the analysis of spatial correlations indicates that it presents features similar with epidemics of infectious diseases, and b) the analysis of a set of fMRI brain data, where we used network theory to detect functional modules in the brain. The properties of these modules indicated that the brain operates in an almost optimal way providing efficient information flow.