2012
DOI: 10.5175/jswe.2012.201000088
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Visualizing the Invisible College: Community Among Authors in Top Social Work Journals

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Cited by 2 publications
(2 citation statements)
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“…In economics, the average number of coauthors almost doubled between the 1970s and 1990s as the coauthor network grew by a factor of six (Goyal, Van Der Leij, & Moraga-González, 2006). Increased coauthoring in social work was noted by Gelman and Gibelman (1999), and resulting networking was studied by the present author (Woehle, 2012). Some attention to other kinds of networks included Baker's (1992) documentation of a social work network based on citations; Martínez, Cobo, Herrera, and Herrera-Viedma's (2014) map of social work literature themes; Blakeslee and Keller's (2012) study of coauthors in the social work related area of youth mentoring; and Williams et al's (2008) mention of, "A Network for Social Work Education and Research."…”
Section: Self-organizationmentioning
confidence: 69%
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“…In economics, the average number of coauthors almost doubled between the 1970s and 1990s as the coauthor network grew by a factor of six (Goyal, Van Der Leij, & Moraga-González, 2006). Increased coauthoring in social work was noted by Gelman and Gibelman (1999), and resulting networking was studied by the present author (Woehle, 2012). Some attention to other kinds of networks included Baker's (1992) documentation of a social work network based on citations; Martínez, Cobo, Herrera, and Herrera-Viedma's (2014) map of social work literature themes; Blakeslee and Keller's (2012) study of coauthors in the social work related area of youth mentoring; and Williams et al's (2008) mention of, "A Network for Social Work Education and Research."…”
Section: Self-organizationmentioning
confidence: 69%
“…While conducting an earlier study (Woehle, 2012), a particularly well-connected group of coauthors was documented, and the association of those authors with citations was described generally. In that earlier study, a centrality measure called eigenvector centrality was used to identify a central network skeleton.…”
Section: Discovering and Describing The Networkmentioning
confidence: 99%