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Applying centrality measures to impact analysis: A coauthorship network analysis
Erjia Yan,Ying Ding +1 more
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TLDR
It is found that the four centrality measures are significantly correlated with citation counts and it is suggested thatcentrality measures can be useful indicators for impact analysis.Abstract:
Many studies on coauthorship networks focus on network topology and network statistical mechanics. This article takes a different approach by studying micro-level network properties with the aim of applying centrality measures to impact analysis. Using coauthorship data from 16 journals in the field of library and information science (LIS) with a time span of 20 years (1988–2007), we construct an evolving coauthorship network and calculate four centrality measures (closeness centrality, betweenness centrality, degree centrality, and PageRank) for authors in this network. We find that the four centrality measures are significantly correlated with citation counts. We also discuss the usability of centrality measures in author ranking and suggest that centrality measures can be useful indicators for impact analysis. © 2009 Wiley Periodicals, Inc.read more
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Scientific collaboration and endorsement: Network analysis of coauthorship and citation networks.
TL;DR: The results show that productive authors tend to directly coauthor with and closely cite colleagues sharing the same research interests; they do not generally collaborate directly with colleagues having different research topics, but instead directly or indirectly cite them; and highly cited authors do not Generally co author with each other, but closely cite each other.
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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
The science of science: from the perspective of complex systems
An Zeng,Zhesi Shen,Zhesi Shen,Jianlin Zhou,Jinshan Wu,Ying Fan,Yougui Wang,Yougui Wang,H. Eugene Stanley +8 more
TL;DR: In this paper, the authors review the recent advances in science of science (SOS) aiming to cover the topics from empirical study, network analysis, mechanistic models, ranking, prediction, and many important related issues.
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Study on centrality measures in social networks: a survey
TL;DR: This survey paper presents past and present research works on measures of centrality in social network, and some applications ofcentrality measures in biology, research, security, traffic, transportation, drug, class room.
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Popular and/or prestigious? Measures of scholarly esteem
Ying Ding,Blaise Cronin +1 more
TL;DR: This study compares the 40 leading researchers in terms of their popularity and prestige over time and relates measures of popularity and Prestige to date of Ph.D. award, number of key publications, organizational affiliation, receipt of prizes/honors, and gender.
References
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Journal ArticleDOI
Collective dynamics of small-world networks
TL;DR: Simple models of networks that can be tuned through this middle ground: regular networks ‘rewired’ to introduce increasing amounts of disorder are explored, finding that these systems can be highly clustered, like regular lattices, yet have small characteristic path lengths, like random graphs.
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Statistical mechanics of complex networks
TL;DR: In this paper, a simple model based on the power-law degree distribution of real networks was proposed, which was able to reproduce the power law degree distribution in real networks and to capture the evolution of networks, not just their static topology.
Journal ArticleDOI
The Structure and Function of Complex Networks
TL;DR: Developments in this field are reviewed, including such concepts as the small-world effect, degree distributions, clustering, network correlations, random graph models, models of network growth and preferential attachment, and dynamical processes taking place on networks.
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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.
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The anatomy of a large-scale hypertextual Web search engine
Sergey Brin,Lawrence Page +1 more
TL;DR: This paper provides an in-depth description of Google, a prototype of a large-scale search engine which makes heavy use of the structure present in hypertext and looks at the problem of how to effectively deal with uncontrolled hypertext collections where anyone can publish anything they want.