Mapping library and information science in China: a coauthorship network analysis

This paper aims to identify the collaboration pattern and network structure of the coauthorship network of library and information science (LIS) in China. Using data from 18 core source LIS journals in China covering 6 years, we construct the LIS coauthorship network. We analyze the network from both macro and micro perspectives and identify some key features of this network: this network is a small-world network, and follows the scale-free character. In the micro-level, we calculate each author’s centrality values and compare them with citation counts. We find that centrality rankings are highly correlated with citation rankings. We also discuss the limitation of current centrality measures for coauthorship network analysis.

[1]  M. Newman,et al.  The structure of scientific collaboration networks. , 2000, Proceedings of the National Academy of Sciences of the United States of America.

[2]  Massimo Marchiori,et al.  Error and attacktolerance of complex network s , 2004 .

[3]  M E Newman,et al.  Scientific collaboration networks. I. Network construction and fundamental results. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.

[4]  Albert-László Barabási,et al.  Statistical mechanics of complex networks , 2001, ArXiv.

[5]  L. Freeman Centrality in social networks conceptual clarification , 1978 .

[6]  Jerrold W. Grossman,et al.  The evolution of the mathematical research collaboration graph , 2002 .

[7]  Ronald S. Burt,et al.  Autonomy in a Social Topology , 1980, American Journal of Sociology.

[8]  Mark E. J. Newman A measure of betweenness centrality based on random walks , 2005, Soc. Networks.

[9]  Debora Shaw,et al.  Peers and Spheres of Influence: Situating Rob Kling , 2007, Inf. Soc..

[10]  Alan E. Bayer,et al.  Validity of citation criteria for assessing the influence of scientific publications: New evidence with peer assessment , 1983, J. Am. Soc. Inf. Sci..

[11]  Richard T. Vidgen,et al.  What sort of community is the European Conference on Information Systems? A social network analysis 1993–2005 , 2007, Eur. J. Inf. Syst..

[12]  M. Newman Coauthorship networks and patterns of scientific collaboration , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[13]  Johan Bollen,et al.  Co-authorship networks in the digital library research community , 2005, Inf. Process. Manag..

[14]  Mark E. J. Newman,et al.  The Structure and Function of Complex Networks , 2003, SIAM Rev..

[15]  Eugene Garfield,et al.  New factors in the evaluation of scientific literature through citation indexing , 1963 .

[16]  Sharon L. Milgram,et al.  The Small World Problem , 1967 .

[17]  Hildrun Kretschmer,et al.  Connection and stratification in research collaboration: An analysis of the COLLNET network , 2006, Inf. Process. Manag..

[18]  Bethany S. Dohleman Exploratory social network analysis with Pajek , 2006 .

[19]  Duncan J. Watts,et al.  Collective dynamics of ‘small-world’ networks , 1998, Nature.

[20]  Charles Oppenheim,et al.  Do citations matter? , 1994, J. Inf. Sci..

[21]  Yan Wang,et al.  Scientific collaboration in China as reflected in co-authorship , 2005, Scientometrics.

[22]  Albert,et al.  Emergence of scaling in random networks , 1999, Science.

[23]  Zhao-Guo Xuan,et al.  Weighted network properties of Chinese nature science basic research , 2007 .

[24]  Vladimir Batagelj,et al.  Centrality in Social Networks , 1993 .

[25]  A. Barabasi,et al.  Evolution of the social network of scientific collaborations , 2001, cond-mat/0104162.

[26]  Marko A. Rodriguez,et al.  On the relationship between the structural and socioacademic communities of a coauthorship network , 2008, J. Informetrics.

[27]  Stanley Wasserman,et al.  Social Network Analysis: Methods and Applications , 1994, Structural analysis in the social sciences.

[28]  Debora Shaw,et al.  Banking (on) different forms of symbolic capital , 2002, J. Assoc. Inf. Sci. Technol..

[29]  C. O. Frost The Use of Citations in Literary Research: A Preliminary Classification of Citation Functions , 1979, The Library Quarterly.

[30]  Xudong Jin A Comparison Study on the Confusion and Threat of the United States and Chinese Library Education , 1999 .

[31]  Jerrold W. Grossman,et al.  Famous trails to Paul Erdős , 1999 .

[32]  Jörg Sander,et al.  Analysis of SIGMOD's co-authorship graph , 2003, SGMD.

[33]  Loet Leydesdorff,et al.  Mapping Global Science Using International Co-authorships : A Comparison of 1990 and 2000 , 2003 .

[34]  Hildrun Kretschmer,et al.  Author productivity and geodesic distance in bibliographic co-authorship networks, and visibility on the Web , 2004, Scientometrics.

[35]  M. Newman,et al.  Scientific collaboration networks. II. Shortest paths, weighted networks, and centrality. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.

[36]  Xinmin Wu,et al.  Library and information education in the People's Republic of China: the impact of reform and "opening-up" , 1994 .

[37]  D J PRICE,et al.  NETWORKS OF SCIENTIFIC PAPERS. , 1965, Science.

[38]  Peter Mutschke,et al.  Mining Networks and Central Entities in Digital Libraries. A Graph Theoretic Approach Applied to Co-author Networks , 2003, IDA.

[39]  Sergei Maslov,et al.  Finding scientific gems with Google's PageRank algorithm , 2006, J. Informetrics.

[40]  Leonard M. Freeman,et al.  A set of measures of centrality based upon betweenness , 1977 .

[41]  Ulrik Brandes,et al.  On variants of shortest-path betweenness centrality and their generic computation , 2008, Soc. Networks.

[42]  Hildrun Kretschmer,et al.  The structure of scientific collaboration networks in Scientometrics , 2008, Scientometrics.