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dc.contributor.authorMiller, Gregory A.
dc.contributor.authorMoore, Scott M.
dc.contributor.authorBeery, Paul T.
dc.contributor.authorParker, Gary W.
dc.date.accessioned2014-10-01T22:02:04Z
dc.date.available2014-10-01T22:02:04Z
dc.date.issued2012-12
dc.identifier.urihttp://hdl.handle.net/10945/43416
dc.description.abstractThis paper analyzes faculty scholarly collaboration networks at the Naval Postgraduate School (NPS). A brief description of the mission and organization of NPS provides background. The source of the network data is described, and the process of data extraction and formatting is explained. Measures of papers, authors, collaborations, and unique collaborators are presented at the department level and university-level. Results also include network metrics like mean path length, diameter, component number and size, clustering coefficient, degree distribution, and betweenness. Statistical analysis quantifies similarities and differences between departments. The nature of inter-department collaboration is described. Several techniques for graph visualization support the numerical analysis. Expected results include the nature of components within departments and the university as a whole, degree and component distributions, and mean values for authors per paper and papers per author. Unexpected results include the absence of a giant component in the university graph and very high clustering coefficients.en_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.titleScholarly Collaboration Networks at the Naval Postgraduate Schoolen_US
dc.typeArticleen_US
dc.contributor.departmentSystems Engineering
dc.subject.authorNPSen_US
dc.subject.authorscholarly collaborationen_US
dc.subject.authornetworksen_US
dc.subject.authormetricsen_US


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