Rebecca McBride

Calvin College

Grand Rapids, MI 49546

United States

SCHOLARLY PAPERS

4

DOWNLOADS

133

SSRN CITATIONS

1

CROSSREF CITATIONS

0

Scholarly Papers (4)

1.

In Social Network Analysis, Which Centrality Index Should I Use? Theoretical Differences and Empirical Similarities among Top Centralities

Journal of Methods and Measurement in the Social Sciences, Vol. 8, No. 2, 72-99, 2017
Number of pages: 28 Posted: 25 Jul 2019
Vanderbilt University - MarketingVanderbilt University - Marketing, Calvin College, Rawls College of Business, Texas Tech University and HEC Paris - Marketing
Downloads 74 (434,417)
Citation 1

Abstract:

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centrality; degree; closeness; betweenness; eigenvector centrality; social networks

2.

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, 18 (2), 1-22, 2017
Number of pages: 22 Posted: 11 Oct 2017 Last Revised: 18 Nov 2017
Vanderbilt University - MarketingVanderbilt University - Marketing, Calvin College and Rawls College of Business, Texas Tech University
Downloads 31 (624,053)

Abstract:

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centrality, eigenvector centrality, social networks

3.

A Social Networks Model for Categorical Data

2015 Summer Marketing Educators' Conference; ISBN: 87757-360-3
Number of pages: 8 Posted: 25 Jul 2019
Dawn Iacobucci, Dawn Iacobucci and Rebecca McBride
Vanderbilt University - MarketingVanderbilt University - Marketing and Calvin College
Downloads 19 (710,621)

Abstract:

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social networks, network analysis, exponential random graph network models

4.

Confidence Intervals for Assessing Sizes of Social Network Centralities

Social Networking, 2018, 7, 220-242
Number of pages: 23 Posted: 25 Jul 2019
Vanderbilt University - MarketingVanderbilt University - Marketing, Calvin College, Rawls College of Business, Texas Tech University and HEC Paris - Marketing
Downloads 9 (800,608)

Abstract:

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Centrality, Degree, Closeness, Betweenness, Eigenvector Centrality, Social Networks