Dear Colleagues,
We are at the final stage of conducting a meta-analysis on social network power indicators and outcomes. We have conducted a search on published literature and publically available datasets and are now seeking unpublished empirical studies and data on node level social network indicators.
We are looking for any conference papers, dissertations, working papers, book chapters or forthcoming papers that have a quantitative assessment of node level social network indicators (e.g. degree centrality, betweenness centrality, eigenvector centrality, closeness centrality, Bonacich’s power, flow betweenness, structural holes, bridging ties, weak ties, information centrality etc) and outcomes (e.g. performance, innovation/creativity, influence and motivation). We are also interested in the inter-correlations among different social network indicators. Studies on individuals, teams, companies based on correlational, longitudinal, and experimental design are all welcome.
If you have data that you are willing to share, please send copies of any documents to
jia.yu@unl.edu with how you would like to have the study cited in the manuscript. Thank you in advance for your help. Apologies for any cross-postings.
Best Regards
-Joya
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Jia (Joya) Yu, PhD
Assistant Professor of Management
College of Business
University of Nebraska-Lincoln
Helen Zhao, PhD
Assistant Professor
School of Business
University of Hong Kong
Lindsey M. Greco, PhD
Assistant Professor
Department of Management
Spears School of Business
Oklahoma State University
Eean Crawford, PhD
Assistant Professor
Dept. of Management & Organizations
Tippie College of Business
University of Iowa