Features of the discipline knowledge network: evidence from China

AbstractInterdisciplinary knowledge exchange constitutes a network with discipline nodes and knowledge flow edges. Using data on Chinese academic literature, the current paper establishes a discipline knowledge network and analyses its structural features. Citation analysis is first used to measure the flow of knowledge between disciplines to build a discipline knowledge network. Subsequently, the features of the network, such as degree distribution, degree correlation, knowledge flow mode and other structure properties, are then analysed based on complex networks and social network theory. The tail of the degree distribution of this discipline knowledge network is in concordance with exponential distribution. The network has also a distinct hierarchical structure. Moreover, the knowledge flow between disciplines is directional. It flows from certain basic and academic disciplines to the applied disciplines.

[1]  Mee-Jean Kim,et al.  A bibliometric analysis of physics publications in Korea, 1994-1998 , 2001, Scientometrics.

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

[3]  J. Klein Evaluation of interdisciplinary and transdisciplinary research: a literature review. , 2008, American journal of preventive medicine.

[4]  Dalibor Fiala,et al.  Bibliometric analysis of CiteSeer data for countries , 2012, Inf. Process. Manag..

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

[6]  Stephen P. Borgatti,et al.  Network Theory , 2013 .

[7]  Ravi Kumar,et al.  Influence and correlation in social networks , 2008, KDD.

[8]  Loet Leydesdorff,et al.  Betweenness centrality as a driver of preferential attachment in the evolution of research collaboration networks , 2011, J. Informetrics.

[9]  Scott W. Campbell,et al.  Mobile Communication and Civic Life: Linking Patterns of Use to Civic and Political Engagement , 2010 .

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

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

[12]  Albert-László Barabási,et al.  Effect of correlations on network controllability , 2012, Scientific Reports.

[13]  S. Redner How popular is your paper? An empirical study of the citation distribution , 1998, cond-mat/9804163.

[14]  E. Garfield Citation indexes for science. A new dimension in documentation through association of ideas. 1955. , 1955, International journal of epidemiology.

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

[16]  José Luis Ortega,et al.  Shaping the European research collaboration in the 6th Framework Programme health thematic area through network analysis , 2010, Scientometrics.

[17]  Albert-László Barabási,et al.  Hierarchical organization in complex networks. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[18]  B. Bollobás The evolution of random graphs , 1984 .

[19]  R Pastor-Satorras,et al.  Dynamical and correlation properties of the internet. , 2001, Physical review letters.

[20]  Francis Narin,et al.  Interrelationships of scientific journals , 1972, J. Am. Soc. Inf. Sci..

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

[22]  Steven B. Andrews,et al.  Structural Holes: The Social Structure of Competition , 1995, The SAGE Encyclopedia of Research Design.

[23]  Jan W. Rivkin,et al.  Complexity, Networks and Knowledge Flow , 2002 .

[24]  Han Woo Park,et al.  A network analysis of interdisciplinary research relationships: the Korean government’s R&D grant program , 2010, Scientometrics.

[25]  Loet Leydesdorff,et al.  Clusters and Maps of Science Journals Based on Bi-connected Graphs in the Journal Citation Reports , 2009, ArXiv.

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

[27]  M. Tomassini,et al.  Empirical analysis of the evolution of a scientific collaboration network , 2007 .

[28]  Michel Zitt,et al.  Mapping nanosciences by citation flows: A preliminary analysis , 2007, Scientometrics.

[29]  Arun Sundararajan,et al.  Distinguishing influence-based contagion from homophily-driven diffusion in dynamic networks , 2009, Proceedings of the National Academy of Sciences.

[30]  P. Zhou,et al.  Mimola Reference , 1989 .

[31]  J. Klein,et al.  Analyzing interdisciplinarity: Typology and indicators , 2010 .

[32]  Julie Thompson Klein,et al.  Afterword: the emergent literature on interdisciplinary and transdisciplinary research evaluation , 2006 .

[33]  M E J Newman Assortative mixing in networks. , 2002, Physical review letters.

[34]  V. Latora,et al.  Complex networks: Structure and dynamics , 2006 .

[35]  Jin Min Kim,et al.  Cyclic topology in complex networks. , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.

[36]  Loet Leydesdorff,et al.  Are the contributions of China and Korea upsetting the world system of science? , 2005, Scientometrics.

[37]  Guillermo Armando Ronda-Pupo,et al.  Dynamics of the scientific community network within the strategic management field through the Strategic Management Journal 1980–2009: the role of cooperation , 2010, Scientometrics.

[38]  Caroline Haythornthwaite,et al.  Knowledge Flow in Interdisciplinary Teams , 2005, Proceedings of the 38th Annual Hawaii International Conference on System Sciences.

[39]  Mark S. Granovetter The Strength of Weak Ties , 1973, American Journal of Sociology.

[40]  Cosma Rohilla Shalizi,et al.  Homophily and Contagion Are Generically Confounded in Observational Social Network Studies , 2010, Sociological methods & research.

[41]  Lada A. Adamic,et al.  The role of social networks in information diffusion , 2012, WWW.

[42]  Jin Chen,et al.  Structural indicators in citation networks , 2011, Scientometrics.

[43]  Daren Yu,et al.  Characterizing knowledge diffusion of Nanoscience & Nanotechnology by citation analysis , 2010, Scientometrics.

[44]  Ali Uzun,et al.  A bibliometric analysis of physics publications from Middle Eastern countries , 1996, Scientometrics.