title: Using big data to map the network organization of the brain.
abstract: The past few years have shown a major rise in network analysis of "big data" sets in the social sciences, revealing non-obvious patterns of organization and dynamic principles. We speculate that the dependency dimension - individuality versus sociality - might offer important insights into the dynamics of neurons and neuronal ensembles. Connectomic neural analyses, informed by social network theory, may be helpful in understanding underlying fundamental principles of brain organization.
authors.affiliation: Department of Psychiatry, University of Michigan School of Medicine, Ann Arbor, MI 48109. jamesswa@med.umich.edu http://www2.med.umich.edu/psychiatry/psy/fac_query4.cfm?link_name=jamesswa.
authors.forename: James E
authors.initials: JE
authors.lastname: Swain
authors.affiliation: Department of Psychiatry, University of Michigan School of Medicine, Ann Arbor, MI 48109. jamesswa@med.umich.edu http://www2.med.umich.edu/psychiatry/psy/fac_query4.cfm?link_name=jamesswa.
authors.forename: Chandra
authors.initials: C
authors.lastname: Sripada
authors.affiliation: Department of Physics, Northeastern University, Boston, MA 02115. John.swain@cern.ch http://www.physics.neu.edu/Department/Vtwo/faculty/swain.htm.
authors.forename: John D
authors.initials: JD
authors.lastname: Swain
mesh_terms: D003625:Data Collection; D003657:Decision Making; D006801:Humans; D012919:Social Behavior; D060756:Social Networking