Dynamic animations of journal maps: Indicators of structural changes and interdisciplinary developments

The dynamic analysis of structural change in the organization of the sciences requires, methodologically, the integration of multivariate and time-series analysis. Structural change—for instance, interdisciplinary development—is often an objective of government interventions. Recent developments in multidimensional scaling (MDS) enable us to distinguish the stress originating in each time-slice from the stress originating from the sequencing of time-slices, and thus to locally optimize the trade-offs between these two sources of variance in the animation. Furthermore, visualization programs like Pajek and Visone allow us to show not only the positions of the nodes, but also their relational attributes such as betweenness centrality. Betweenness centrality in the vector space can be considered as an indicator of interdisciplinarity. Using this indicator, the dynamics of the citation-impact environments of the journals Cognitive Science, Social Networks, and Nanotechnology are animated and assessed in terms of interdisciplinarity among the disciplines involved. © 2008 Wiley Periodicals, Inc.

[1]  Loet Leydesdorff,et al.  The static and dynamic analysis of network data using information theory , 1991 .

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

[3]  Loet Leydesdorff,et al.  The delineation of nanoscience and nanotechnology in terms of journals and patents: A most recent update , 2008, Scientometrics.

[4]  Ulrik Brandes,et al.  Visone Software for Visual Social Network Analysis , 2001 .

[5]  Loet Leydesdorff,et al.  Betweenness Centrality" as an Indicator of the , 2006 .

[6]  Loet Leydesdorff,et al.  Nanotechnology as a field of science: Its delineation in terms of journals and patents , 2007, Scientometrics.

[7]  Loet Leydesdorff,et al.  Tracking areas of strategic importance using scientometric journal mappings , 1994 .

[8]  Loet Leydesdorff,et al.  The development of frames of references , 1986, Scientometrics.

[9]  Allan Collins,et al.  Why Cognitive Science , 1977, Cogn. Sci..

[10]  T. Kuhn,et al.  The Structure of Scientific Revolutions. , 1964 .

[11]  Kozo Sugiyama,et al.  Layout Adjustment and the Mental Map , 1995, J. Vis. Lang. Comput..

[12]  Yehuda Koren,et al.  Graph Drawing by Stress Majorization , 2004, GD.

[13]  Stanley Wasserman,et al.  Social Network Analysis: Methods and Applications , 1994 .

[14]  Satoru Kawai,et al.  An Algorithm for Drawing General Undirected Graphs , 1989, Inf. Process. Lett..

[15]  Thomas Schank,et al.  Dynamic graph drawing in visone , 2008 .

[16]  Stephen J. Bensman The Structure of the Library Market for Scientific Journals: The Case of Chemistry , 1996 .

[17]  Michael McGill,et al.  Introduction to Modern Information Retrieval , 1983 .

[18]  Zaida Chinchilla-Rodríguez,et al.  Visualizing the marrow of science , 2007 .

[19]  Ronald Rousseau,et al.  Requirements for a cocitation similarity measure, with special reference to Pearson's correlation coefficient , 2003, J. Assoc. Inf. Sci. Technol..

[20]  Kevin W. Boyack,et al.  Mapping the backbone of science , 2004, Scientometrics.

[21]  L. Leydesdorff Caveats for the use of citation indicators in research and journal evaluations , 2008 .

[22]  Patrick Doreian,et al.  A revised measure of standing of journals in stratified networks , 2005, Scientometrics.

[23]  Ronald N. Kostoff,et al.  Global nanotechnology research metrics , 2007, Scientometrics.

[24]  R. Burt Toward a structural theory of action , 1982 .

[25]  L. Freeman,et al.  The Development of Social Network Analysis: A Study in the Sociology of Science , 2005 .

[26]  Robert L. Goldstone,et al.  The Import and Export of Cognitive Science , 2006, Cogn. Sci..

[27]  P. Zhou,et al.  The Emergence of China as a Leading Nation in Science. Research Policy, 35(1), 2006, 83-104. , 2006, 0911.3421.

[28]  Vladimir Batagelj,et al.  Exploratory Social Network Analysis with Pajek , 2005 .

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

[30]  Anthony F. J. van Raan,et al.  Quasi-correspondence analysis on scientometric transaction matrices , 2005, Scientometrics.

[31]  Ronald Rousseau,et al.  Social network analysis: a powerful strategy, also for the information sciences , 2002, J. Inf. Sci..

[32]  G. Furnas,et al.  Pictures of relevance: a geometric analysis of similarity measures , 1987 .

[33]  Ulrik Brandes,et al.  Analysis and Visualization of Social Networks , 2003, Graph Drawing Software.

[34]  Patrick Doreian,et al.  Structural equivalence in a journal network , 1985, J. Am. Soc. Inf. Sci..

[35]  Loet Leydesdorff Can scientific journals be classified in terms of aggregated journal-journal citation relations using the Journal Citation Reports? , 2006 .

[36]  Diana Lucio-Arias,et al.  Knowledge emergence in scientific communication: from “fullerenes” to “nanotubes” , 2007, Scientometrics.

[37]  Loet Leydesdorff,et al.  Indicators of structural change in the dynamics of science: Entropy statistics of the SCI Journal Citation Reports , 2009, Scientometrics.

[38]  Loet Leydesdorff,et al.  Irreversibilites in science and technology networks: An empirical and analytical approach , 1992, Scientometrics.

[39]  Patrick Doreian,et al.  Structural equivalence in a psychology journal network , 1985, J. Am. Soc. Inf. Sci..

[40]  D. H. Freeman Statistical Decomposition Analysis , 1974 .

[41]  Daniel A. McFarland,et al.  The Art and Science of Dynamic Network Visualization , 2006, J. Soc. Struct..

[42]  Loet Leydesdorff,et al.  Betweenness centrality as an indicator of the interdisciplinarity of scientific journals , 2007, J. Assoc. Inf. Sci. Technol..

[43]  Loet Leydesdorff,et al.  Co-occurrence matrices and their applications in information science: Extending ACA to the Web environment , 2006 .

[44]  Thomas Schank,et al.  UvA-DARE ( Digital Academic Repository ) Animating the development of social networks over time using a dynamic extension of multidimensional scaling , 2008 .

[45]  Loet Leydesdorff,et al.  The prediction of science indicators using information theory , 1990, Scientometrics.

[46]  Stephen G. Kobourov,et al.  GraphAEL: Graph Animations with Evolving Layouts , 2003, GD.

[47]  Loet Leydesdorff,et al.  Can networks of journal-journal citations be used as indicators of change in the social sciences? , 2003, J. Documentation.

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

[49]  Ronald N. Kostoff,et al.  Database tomography for information retrieval , 1997, J. Inf. Sci..

[50]  Daniel A. McFarland,et al.  Dynamic Network Visualization1 , 2005, American Journal of Sociology.