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Article: Measuring social capital through network analysis and its influence on individual performance

TitleMeasuring social capital through network analysis and its influence on individual performance
Authors
Issue Date2014
PublisherELSEVIER. The Journal's web site is located at http://www.elsevier.com/locate/lisres
Citation
Library & Information Science Research, 2014, v. 36, p. 66-73 How to Cite?
AbstractStudies of social networks highlight the importance of network structure or structural properties of a given network and its impact on performance outcome. One of the important properties of this network structure is referred to as social capital, which is the network of contacts and the associated values attached to these networks of contacts. This study provides empirical evidence of the influence of social capital and performance within the context of academic collaboration (coauthorship) and suggests that the collaborative process involves social capital embedded within relationships and network structures among direct coauthors. Association between scholars' social capital and their citation-based performance measures is examined. To overcome the limitations of traditional social network metrics for measuring the influence of scholars' social capital within coauthorship networks, the traditional social network metrics is extended by proposing two new measures, of which one is non-weighted (the power–diversity index) and the other (power–tie–diversity index) is weighted by the number of collaboration instances. The Spearman's correlation rank test is used to examine the association between scholars' social capital measures and their citation-based performance. Results suggest that research performance of authors is positively correlated with their social capital measures. The power–diversity index and power–tie–diversity index serve as indicators of power and influence of an individual's ability to control communication and information.
Persistent Identifierhttp://hdl.handle.net/10722/203490
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorAbbasi, Aen_US
dc.contributor.authorWigand, Ren_US
dc.contributor.authorHossain, Len_US
dc.date.accessioned2014-09-19T15:16:54Z-
dc.date.available2014-09-19T15:16:54Z-
dc.date.issued2014en_US
dc.identifier.citationLibrary & Information Science Research, 2014, v. 36, p. 66-73en_US
dc.identifier.urihttp://hdl.handle.net/10722/203490-
dc.description.abstractStudies of social networks highlight the importance of network structure or structural properties of a given network and its impact on performance outcome. One of the important properties of this network structure is referred to as social capital, which is the network of contacts and the associated values attached to these networks of contacts. This study provides empirical evidence of the influence of social capital and performance within the context of academic collaboration (coauthorship) and suggests that the collaborative process involves social capital embedded within relationships and network structures among direct coauthors. Association between scholars' social capital and their citation-based performance measures is examined. To overcome the limitations of traditional social network metrics for measuring the influence of scholars' social capital within coauthorship networks, the traditional social network metrics is extended by proposing two new measures, of which one is non-weighted (the power–diversity index) and the other (power–tie–diversity index) is weighted by the number of collaboration instances. The Spearman's correlation rank test is used to examine the association between scholars' social capital measures and their citation-based performance. Results suggest that research performance of authors is positively correlated with their social capital measures. The power–diversity index and power–tie–diversity index serve as indicators of power and influence of an individual's ability to control communication and information.en_US
dc.languageengen_US
dc.publisherELSEVIER. The Journal's web site is located at http://www.elsevier.com/locate/lisresen_US
dc.relation.ispartofLibrary & Information Science Researchen_US
dc.rightsNOTICE: this is the author’s version of a work that was accepted for publication in <Journal title>. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in PUBLICATION, [VOL#, ISSUE#, (DATE)] DOI#en_US
dc.titleMeasuring social capital through network analysis and its influence on individual performanceen_US
dc.typeArticleen_US
dc.identifier.emailHossain, L: lhossain@hku.hken_US
dc.identifier.authorityHossain, L=rp01858en_US
dc.identifier.doi10.1016/j.lisr.2013.08.001en_US
dc.identifier.hkuros239063en_US
dc.identifier.volume36en_US
dc.identifier.spage66en_US
dc.identifier.epage73en_US
dc.identifier.isiWOS:000335287400008-

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