Social Network Analysis in Evaluation of criteria for the use of bibliometric

Subject Areas : Journal of Knowledge Studies

najmeh salemi ¹ , Gholamreza Fadaei ² , Farideh Asareh ³

1 - Professor of Information Sciences and Knowledge, Beheshti University
2 - Professor of Information Science and Knowledge of Theran University
3 - Professor of Information Science and Knowledge, Chamran University

Received: 2012-05-04 Accepted : 2012-09-15 Published : 2014-08-23

Keywords: Scientometrics, social network analysis, centrality,

Abstract :

Purpose: This survey tries to evaluate the centrality of the scientific network of university of Tehran articles which are indexed in Web of science between 1999-2008. Methodology: This research uses the social network analysis to reveal scientific map of university of Tehran and find the works with high centrality.  4732 articles were collected from Web of science and 900 articles (with 10 citation thresholds) were analyzed with Citespace. Findings: The results reveals that Ganjali (chemist) is the central node in Tehran scientific network but other important nodes are not Iranian. Conclusion: The data shows there are 29455 references in articles and half of them are Iranian. In this work the most cited references with centrality and sigma were recognized. The result shows although citation is important but the most cited reference is not the central one.

References:

Brandes, U. (2001). A faster algorithm for betweenness centrality. Journal of Mathematical Sociology, 25 (2), 163-177.

Burt, R. S. (1992). Structural holes: The social structure of competition. Cambridge, Massachusetts: Harvard University Press.

Cheong, F & Corbit, B. (2009). A social network analysis of the co-authorship network of the Australian conference of information science from 1990 to 2006. paper presented in the 17thEuropean conference on information systems, Verona. Italy.

Erfanmanesh, M; Abrisah, A; Asnafi, A. (2014). A Scientometric and Social Network Analysis. Informatiom Processing & Management. 29( 2). In Persian

Erfanmanesh, M; Rohani, V.A; Abrizah,A (2012). Co-authorship network of scientometrics research collaboration.  Malysian journal of library & information science, 17(3), 73-93.

Freeman, L.C. (1979). Centrality in social networks: Conceptual clarification. Social Networks, 1, 215–239.

Hanneman, Robert A. and Mark Riddle.(2005). Introduction to social network methods. Available: http://faculty.ucr.edu/~hanneman/

Kessler, M. M. (1963). Bibliographic coupling between scientific papers. American Documentation, 14: 10-25.

Kleinberg J. (2002). Bursty and hierarchical structure in streams. Proceedings of the 8th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 2002:91–101.

Shekofteh, M & Hariri, N. (2014). Scientific Mapping of Medicine Inion Iran Using Subject Co-citation and Social Network Analysis.  Health Management, 16(51). In Persian

Shieli,F; Osareh, F; Farajpahlo, A. (2012). Centrality in co-authorship network in information science journal. Library and Information Science, 2(2). In Persian

Small, H. (1973). Co-citation in the scientific literature: a new measure of the relationship between two documents. Journal of The American Society for Information Science and Technology, 24.

Wasserman, S.; Faust, K. (1994). Social Network Analysis: Methods and Applications (Structural Analysis in the Social Sciences). Cambridge: University Press

Yan, E.; Dig, Y ; Zhu, Q (2010). Mapping library and information science in China: A coauthor ship network analysis. Scientometrics, 83(1), 115-131.