Network of the core: mapping and visualizing the core of scientific domains

In this article, we propose mapping and visualizing the core of scientific domains using social network analysis techniques derived from mathematical graph theory. In particular, the concept of Network of the Core is introduced which can be employed to visualize scientific domains by constructing a network among theoretical constructs, models, and concepts. A Network of the Core can be used to reveal hidden properties and structures of a research domain such as connectedness, centrality, density, structural equivalence, and cohesion, by modeling the casual relationship among theoretical constructs. Network of the Core concept can be used to explore the strengths and limitations of a research domain, and graphically and mathematically derive the number research hypotheses. The Network of the Core approach can be applied to any domain given that the investigator has a deep understanding of the area under consideration, a graphical or conceptual view (in the form of a network of association among the theoretical constructs and concepts) of the scientific domain can be obtained, and an underlying theory is available or can be constructed to support Network of the Core formation. Future research directions and several other issues related to the Network of the Core concept are also discussed.

[1]  Yuqiang Feng,et al.  A measure of authors’ centrality in co-authorship networks based on the distribution of collaborative relationships , 2009, Scientometrics.

[2]  D. Borsboom,et al.  The Theoretical Status of Latent Variables , 2003 .

[3]  A. Pritchard,et al.  Statistical bibliography or bibliometrics , 1969 .

[4]  C. E. SHANNON,et al.  A mathematical theory of communication , 1948, MOCO.

[5]  Loet Leydesdorff,et al.  A comparison of the knowledge-based innovation systems in the economies of South Korea and the Netherlands using Triple Helix indicators , 2005, Scientometrics.

[6]  Frederick J. Riggins,et al.  The Digital Divide: Current and Future Research Directions , 2005, J. Assoc. Inf. Syst..

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

[8]  P. S. Nagpaul Visualizing cooperation networks of elite institutions in India , 2002, Scientometrics.

[9]  Félix de Moya Anegón,et al.  Detecting, identifying and visualizing research groups in co-authorship networks , 2010, Scientometrics.

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

[11]  Junghoon Moon,et al.  Determinants of relationship quality for IS/IT outsourcing success in public sector , 2012, Inf. Syst. Frontiers.

[12]  M. Dertouzos,et al.  The Social Framework of the Information Society , 1980 .

[13]  Ray J. Paul,et al.  Fitting the jigsaw of citation: Information visualization in domain analysis , 2001, J. Assoc. Inf. Sci. Technol..

[14]  M. Castells Rise of the Network Society: The Information Age: Economy, Society and Culture , 1996 .

[15]  Cheng-Hsin Chiang,et al.  Network structure of innovation: can brokerage or closure predict patent quality? , 2009, 2009 42nd Hawaii International Conference on System Sciences.

[16]  Robert A. Hanneman,et al.  Computer-Assisted Theory Building: Modeling Dynamic Social Systems , 1988 .

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

[18]  Jungwoo Lee,et al.  Developing fully functional E-government: A four stage model , 2001, Gov. Inf. Q..

[19]  Eli M. Blatt Differentiating, describing, and visualizing scientific space: A novel approach to the analysis of published scientific abstracts , 2008, Scientometrics.

[20]  Alberto J. Cañas,et al.  A TEORIA SUBJACENTE AOS MAPAS CONCEITUAIS E COMO ELABORÁ-LOS E USÁ-LOS * THE THEORY UNDERLYING CONCEPT MAPS AND HOW TO CONSTRUCT AND USE THEM , 2010 .

[21]  Ephraim R. McLean,et al.  The DeLone and McLean Model of Information Systems Success: A Ten-Year Update , 2003, J. Manag. Inf. Syst..

[22]  T. Parsons,et al.  Toward a General Theory of Action , 1952 .

[23]  Pei-Chun Lee,et al.  Mapping knowledge structure by keyword co-occurrence: a first look at journal papers in Technology Foresight , 2010, Scientometrics.

[24]  Loet Leydesdorff,et al.  Korean journals in the Science Citation Index: What do they reveal about the intellectual structure of S&T in Korea? , 2008, Scientometrics.

[25]  Han Woo Park,et al.  Mapping the e-science landscape in South Korea using the webometrics method , 2010, J. Comput. Mediat. Commun..

[26]  Gohar Feroz Khan,et al.  A socio-technical perspective on e-government issues in developing countries: a scientometrics approach , 2011, Scientometrics.

[27]  Yeonbae Kim,et al.  Measuring relatedness between technological fields , 2010, Scientometrics.

[28]  N. Biggs,et al.  Graph Theory 1736-1936 , 1976 .

[29]  Bart De Moor,et al.  A hybrid mapping of information science , 2008, Scientometrics.

[30]  Derek de Solla Price,et al.  A general theory of bibliometric and other cumulative advantage processes , 1976, J. Am. Soc. Inf. Sci..

[31]  Fred D. Davis Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[32]  Loet Leydesdorff,et al.  Knowledge linkage structures in communication studies using citation analysis among communication journals , 2009, Scientometrics.

[33]  Loet Leydesdorff,et al.  Top-down decomposition of the Journal Citation Reportof the Social Science Citation Index: Graph- and factor-analytical approaches , 2004, Scientometrics.

[34]  B. Eden The Rise of the Network Society. The Information Age: Economy, Society and Culture, Vol. 1, 2nd ed. , 2001 .

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

[36]  Loet Leydesdorff,et al.  Theories of Citation , 1998 .

[37]  Michael L. Dertouzos,et al.  The Computer Age: A Twenty-Year View , 1980 .

[38]  Marie Williams,et al.  Evidence base, quantitation and collaboration: three novel indices for bibliometric content analysis , 2010, Scientometrics.

[39]  Sang Joon Kim,et al.  A Mathematical Theory of Communication , 2006 .

[40]  Ju Wang,et al.  Visualizing the research on pervasive and ubiquitous computing , 2011, Scientometrics.

[41]  Bangrae Lee,et al.  Mapping Korea’s national R&D domain of robot technology by using the co-word analysis , 2008, Scientometrics.

[42]  C. Baldry Theories of The Information Society , 1988 .

[43]  Mike Thelwall,et al.  Introduction to Webometrics: Quantitative Web Research for the Social Sciences , 2009, Introduction to Webometrics.

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

[45]  Chaomei Chen Visualizing scientific paradigms: An introduction , 2003, J. Assoc. Inf. Sci. Technol..

[46]  Ephraim R. McLean,et al.  Information Systems Success: The Quest for the Dependent Variable , 1992, Inf. Syst. Res..

[47]  Alexander I. Pudovkin,et al.  Why do we need algorithmic historiography? , 2003, J. Assoc. Inf. Sci. Technol..

[48]  Elena Maceviciute Review of: Thelwall, Michael. Introduction to webometrics: quantitative web research for the social sciences. San Rafael, CA: Morgan & Claypool, 2009 , 2010, Inf. Res..

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

[50]  Jeremy Rose,et al.  The shape of eParticipation: Characterizing an emerging research area , 2008, Gov. Inf. Q..

[51]  Meredith Ringel Morris,et al.  Collaborative Web Search: Who, What, Where, When, and Why , 2009, Collaborative Web Search: Who, What, Where, When, and Why.

[52]  Loet Leydesdorff,et al.  The Challenge of Scientometrics: The Development, Measurement, and Self-Organization of Scientific Communications , 2001 .

[53]  L. Boland On the Methodology of Economic Model Building , 1966 .

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

[55]  Qingpu Zhang,et al.  Mapping knowledge domains of Chinese digital library research output, 1994–2010 , 2011, Scientometrics.

[56]  E. Trist,et al.  A Socio-Technical Perspective , 1993 .