Dimensionality of social networks using motifs and eigenvalues.

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Bibliographic Details
Title: Dimensionality of social networks using motifs and eigenvalues.
Authors: Bonato A; Department of Mathematics, Ryerson University, Toronto, Ontario, Canada., Gleich DF; Computer Science Department, Purdue University, West Lafayette, Indiana, United States of America., Kim M; Electrical Engineering Department, Stanford University, Stanford, California, United States of America., Mitsche D; Laboratoire J.A. Dieudonné, Université de Nice Sophia-Antipolis, Nice, France., Prałat P; Department of Mathematics, Ryerson University, Toronto, Ontario, Canada., Tian Y; Department of Mathematics and Statistics, York University, Toronto, Ontario, Canada., Young SJ; Mathematics Department, University of Louisville, Louisville, Kentucky, United States of America.
Source: PloS one [PLoS One] 2014 Sep 04; Vol. 9 (9), pp. e106052. Date of Electronic Publication: 2014 Sep 04 (Print Publication: 2014).
Publication Type: Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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