Eigenvector Centrality: Illustrations Supporting the Utility of Extracting More Than One Eigenvector to Obtain Additional Insights into Networks and Interdependent Structures Cover

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Eigenvector Centrality: Illustrations Supporting the Utility of Extracting More Than One Eigenvector to Obtain Additional Insights into Networks and Interdependent Structures

Journal of Social Structure

Volume 18 (2017): Issue 1 (January 2017)

By: Dawn Iacobucci, Rebecca McBride and Deidre L. Popovich

Open Access

|Mar 2018

Authors

Dawn Iacobucci

dawn.iacobucci@owen.vanderbilt.edu

Vanderbilt University, Owen Graduate School of Management, Nashville, U.S.A.

Rebecca McBride

ram38@calvin.edu

Calvin College, Department of Political Science, DeVos Communication Center 261G, Grand Rapids, U.S.A.

Deidre L. Popovich

deidre.popovich@ttu.edu

Department of Marketing, Rawls College of Business, Texas Tech University, Lubbock, U.S.A.

DOI: https://doi.org/10.21307/joss-2018-003 | Journal eISSN: 1529-1227 | Journal ISSN: 2300-0422

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Language: English

Page range: 1 - 23

Published on: Mar 11, 2018

Published by: International Network for Social Network Analysis (INSNA)

In partnership with: Paradigm Publishing Services

Publication frequency: 1 issue per year

Keywords:

eigenvector centrality,

social networks

Related subjects:

Social sciences,

Social sciences, other

© 2018 Dawn Iacobucci, Rebecca McBride, Deidre L. Popovich, published by International Network for Social Network Analysis (INSNA)
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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