Journal ArticleDOI
Identifying the effects of co-authorship networks on the performance of scholars: A correlation and regression analysis of performance measures and social network analysis measures
TLDR
A theoretical model based on social network theories and analytical methods for exploring collaboration (co-authorship) networks of scholars suggests that the professional social network of researchers can be used to predict the future performance of researchers.About:
This article is published in Journal of Informetrics.The article was published on 2011-10-01. It has received 380 citations till now. The article focuses on the topics: Katz centrality & Centrality.read more
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Journal ArticleDOI
Co-authorship networks and research impact: A social capital perspective
TL;DR: In this article, the authors define six indicators of social capital (degree centrality, closeness centrality and betweenness centrality) and investigate how these indicators interact and affect citations for publications.
Journal ArticleDOI
Betweenness Centrality as a Driver of Preferential Attachment in the Evolution of Research Collaboration Networks
TL;DR: A complete database for the scientific specialty of research about “steel structures” shows that betweenness centrality of an existing node is a significantly better predictor of preferential attachment by new entrants than degree or closeness centrality.
Posted Content
Betweenness Centrality as a Driver of Preferential Attachment in the Evolution of Research Collaboration Networks
TL;DR: This paper analyzed whether preferential attachment in scientific coauthorship networks is different for authors with different forms of centrality, and showed that betweenness centrality of an existing node is a significantly better predictor of preferential attachment by new entrants than degree or closeness centrality.
Journal ArticleDOI
Information cascades in complex networks
Mahdi Jalili,Matjaž Perc +1 more
TL;DR: Simulation results on sample networks reveal just how relevant the centrality of initiator nodes is on the latter development of an information cascade, and the spreading influence of a node is defined as the fraction of nodes that is activated as a result of the initial activation of that node.
BookDOI
Measuring Scholarly Impact
TL;DR: The map equation framework operates on the flow induced by the links of a network, it naturally captures flow of ideas and citation flow, and is therefore well-suited for analysis of bibliometric networks.
References
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Journal ArticleDOI
The Strength of Weak Ties
TL;DR: In this paper, it is argued that the degree of overlap of two individuals' friendship networks varies directly with the strength of their tie to one another, and the impact of this principle on diffusion of influence and information, mobility opportunity, and community organization is explored.
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Centrality in social networks conceptual clarification
TL;DR: In this article, three distinct intuitive notions of centrality are uncovered and existing measures are refined to embody these conceptions, and the implications of these measures for the experimental study of small groups are examined.
Journal ArticleDOI
Structural Holes: The Social Structure of Competition.
Steven B. Andrews,Ronald S. Burt +1 more
TL;DR: In this article, structural holes are defined as network gaps between players which create entrepreneurial opportunities for information access, timing, referrals, and for control, and the structural holes also generate control benefits giving certain players an advantage in negotiating their relationships.
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An index to quantify an individual's scientific research output
TL;DR: The index h, defined as the number of papers with citation number ≥h, is proposed as a useful index to characterize the scientific output of a researcher.
Journal ArticleDOI
The Search-Transfer Problem: The Role of Weak Ties in Sharing Knowledge across Organization Subunits.
TL;DR: In this article, the authors combine the concept of weak ties from social network research and the notion of complex knowledge to explain the role of weak links in sharing knowledge across organization subunits.