***** To join INSNA, visit http://www.insna.org ***** Hi all, I'm a neuroscientist studying genetic drivers and behavioral targets of resting-state brain networks. I'm looking for help computing network parameters from resting-state functional connectivity MRI data, with the aim of using those parameters as variables in regression analyses with gene and behavior data. Currently I have correlation matrices containing a row for every subject with columns of node-to-node correlation values, or strength of functional connectivity, representing weighted edges (see link). I would like to use this file to visualize and compute such parameters as degree, density, betweenness centrality, closeness, etc. Could anyone help me transform such a file into one usable for Gephi or another program to visualize and compute network properties for multiple subjects in one step or relatively efficiently? Alternative strategies/ideas also also welcome. Thanks so much in advance. Best, -- Kevin Bickart, MD/PhD Anatomy & Neurobiology Medicine intern, CPMC 2015-16 Neurology resident, Stanford 2016-19 SampleEdgeFile.csv <https://www.dropbox.com/s/o7ecbdubwlxsjnt/SampleEdgeFile.csv?dl=0> _____________________________________________________________________ SOCNET is a service of INSNA, the professional association for social network researchers (http://www.insna.org). To unsubscribe, send an email message to [log in to unmask] containing the line UNSUBSCRIBE SOCNET in the body of the message.