The Evolution of Social Work from Disconnected Groups to a Scientific Community: A Social Network Analysis.
This study investigates the collaboration networks within the social work discipline using the recently established Social Work Research Database. By means of network-analysis methods, we investigate the collaborations between 1990 and 2014, while the nodes of this network represent social work scho...
| Published in: | British Journal of Social Work Vol. 49; no. 2; pp. 428 - 448 |
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| Main Authors: | , , |
| Format: | pictorial research tables/charts Journal Article |
| Published: |
Oxford University Press / USA
Mar2019
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=135444437&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 135444437 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00453102 BHO jtl: British Journal of Social Work issn: 00453102 maglogo: N pubinfo: dt: Mar2019 vid: 49 iid: 2 pid: 622 pub: Oxford University Press / USA artinfo: ui: 135444437 135444437 135444437 10.1093/bjsw/bcy050 135444437 ppf: 428 ppct: 20 formats: fmt: @attributes: type: P tig: atl: The Evolution of Social Work from Disconnected Groups to a Scientific Community: A Social Network Analysis. aug: au: Eckl, Markus Ghanem, Christian Löwenstein, Heiko affil: Faculty of Arts and Humanities, University of Passau, Passau, Germany sug: subj: Research, Social Work Social Networks Authorship Methods Collaboration Trends Human Research Personnel Conceptual Framework Programming Languages Serial Publications Authorship Trends Social Work Descriptive Statistics Intraprofessional Relations Social Networking Bibliometrics ab: This study investigates the collaboration networks within the social work discipline using the recently established Social Work Research Database. By means of network-analysis methods, we investigate the collaborations between 1990 and 2014, while the nodes of this network represent social work scholars (N = 19,789) connected by edges representing common publications (N = 314,180). We analyse the structural characteristics of these co-authorship networks and how they changed over time. The results show an increase in scientific collaborations among social work scholars and an evolution from mainly disconnected groups to a collaborating scientific community, while the network shows a small-world structure. The findings also reveal the existence of the so-called Matthew effect within the social work discipline. Specifically, nodes with a high number of connections are associated with a higher probability of acquiring new connections than other nodes, as well as becoming hubs. We therefore argue that an inequality is constantly reproduced and growing over time that implies barriers especially for early-career researchers. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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