H İndeksi Göstergesinin Sosyometrik Analizlere Uyarlanması

Jacob L. Moreno’nun 1932 yılında sosyometri bağlamını ilk sunduğu tarihten bu yana sosyometrik incelemeler kapsamında çok sayıda performans göstergesi geliştirilmiştir. Bu göstergelerin her biri farklı bir amaca yönelik ve diğer göstergeler ile beraber kullanılmaktadır. Sosyometri sahasındaki gelişime paralel olarak bilimsel başarım incelmelerinin yapıldığı bilimmetri sahasında da başarım performanslarını incelemeye yönelik çok sayıda gösterge geliştirilmiştir. Daha çok bilimsel ve akademik performans incelemelerinde kullanılan bilimmetri performans göstergeleri günümüzde küresel düzeyde yaygın biçimde kullanılmaktadır. Bu yaygın kullanım içinde bilim insanları ve otoriteler tarafından kabul görmüş ve en çok öne çıkan gösterge ise Jorge E. Hirsch tarafından henüz 2005 yılında geliştirilen Hirsch İndeksi (H-Index) göstergesidir. H İndeksi göstergesi sosyometrik analizlerde gerek kendi başına, gerekse de diğer göstergelere eklemlenebilecek fonksiyonu ile potansiyeller taşıyan bir göstergedir. Bu çalışma H İndeksi göstergesinin sosyometri sahasında kullanım elverişliliğini tespit etmek amacı ile gerçekleştirilmiştir. Çalışmanın çıktıları H İndeksi göstergesinde kullanılan yöntemin sosyometrik incelemelerde kayda değer kullanım potansiyeline sahip olduğunu ortaya koymaktadır.

Adaptation of Hirsh Index (H-Index) Indicator in Sociometric Analyses

There are significant number of metrics developed in sociometry field since it was presented by Jacob L. Moreno in 1932. Each of those metrics are used on different purposes and within correlations to other metrics. At the same time, the scientometrics field which is the field of scientific performance measurement was in the development process as well. Significant number of metrics were developed in the field of scientometrics also which intensively used by authorities and scientists. The most widely used/referred scientometrical metric have been the Hirsch Index (H-Index) indicator which has been developed recently, just in 2005 by Jorge M. Hirsch. In this study H-index is investigated whether it may be a properly indicator in sociometrical analyses as well, or if it may be added as an additional function into already developed indicators. Outcomes show that hirsch index methodology has potential benefits in sociometry field

___

  • Bartneck, C. and Kokkelmans, S. (2011). Detecting h-index manipulation through self-citation analysis. Scientometrics, 87 (1), 85-98.
  • Bornmann, L. and Daniel, H. D. (2007). What do we know about the h index?. Journal of the American Society for Information Science and Technology, 58 (9), 1381- 1385.
  • Bradford, S. C. (1934). Sources of information on specific subjects. Engineering: An Illustrated Weekly Journal, 137 (January), 85-86.
  • Bush, V. (1945). As we may think. The Atlantic Monthly, 176 (1), 101-108.
  • Cattell, J. M. (1903). Statistics of american psychologists. American Journal of Psychology, 1903 (14), 310-328.
  • Costas, R. and Bordons M. (2007). The h-index: Advantages, limitations and its relation with other bibliometric indicators at the micro level. Journal of Informetrics, 1 (3), 193-203.
  • Erdogan, A. (2013). Sosyometrinin doguşu ve gelisimi, Sosyoloji Dergisi, 3 (27), 2013/2, 387-414.
  • Ferrara, E. and Romero, A. (2013). Scientific impact evaluation and the effect of self-citations: Mitigating the bias by discounting the h-index. Journal of the American Society for Information Science and Technology, 64 (11), 2332–2339.
  • Galton, F. (1874). English men of science; Their nature and nurture. London: MacMilllan & Co.
  • Garfield, E. (1955). Citation indexes for science: A new dimension in documentation through association of ideas. Science, 123 (3159), 108-111.
  • Gitlin, T. (1978). Media sociology: The dominant paradigm. Theory and Society, 1978 (6), 205-253.
  • Glänzel, W. (2006). On the opportunities and limitations of the H-index, Science Focus, 1 (1), 10-11.
  • Godin, B. (2006). On the origins of bibliometrics. Scientometrics, 68 (1), 109- 133.
  • Granovetter, M. S. (1973). The strength of weak ties. The American Journal of Sociology, 78 (1360), 1360-1380.
  • Hanneman, R.A. and Riddle, M. (2005). Introduction to social network methods. California: University of California.
  • Hare, A.P. and Hare, J.R. (1996). Key figures in counselling and psychotherapy: J. L. Moreno. California: Sage.
  • Harvard Department of Social Relations (n.d.). Wikipedia, http://en.wikipedia. org/wiki/Harvard_Department_of_Social_Relations.
  • Harzing, Ann-will (2008). Reflections on the h-index. http://www.harzing.com/ pop_hindex.htm. Accessed: 29th December 2013.
  • Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output. Pnas 102 (46), 16569-16572.
  • Hirsch, J. E. (2007). Does the h index have predictive power?. Proceedings of the National Academy of Sciences of the United States of America, 104 (49), 19193-19198.
  • Homans, George C. (1950). The human group. New York: Harcourt, Brace & World, Inc.
  • Homans, George C. (1961). Social behaviour: Its elementary forms. New York: Harcourt, Brace & World.
  • HRAF (n.d.). About HRAF. Human Relations Area Files: Cultural information for education and research, http://hraf.yale.edu/about.
  • Jennings, H. H. (1943). Leadership and isolation. New York: Longmans, Green & Co.
  • Kelly, C. D. and Jennions, M. D. (2006). The h index and career assessment by numbers. Trends in Ecology & Evolution, 21 (4), 167-170.
  • Lewin, K. (1964). Field theory in social science: Selected theoretical papers. New York: Harper & Row.
  • Lewis, D. and Weigert, A. J. (1985). Social atomism, holism, and trust. The Sociological Quarterly, 26 (455), 455-471.
  • Merton, R. K. (1968). The Matthew effect in science. Science, 159 (3810), 56–63.
  • Merton, R. K. (1988). The Matthew effect in science, II: Cumulative advantage and the symbolism of intellectual property. ISIS, 1988 (79), 606–623.
  • Moreno, J. L. (1934). Who shall survive? – A new approach to the problem of human interrelations. Washington D.C.: Nervous and Mental Disease Publishing House Co.
  • Moreno, J. L. (1947). The future of man’s world. New York: Beacon House Co.
  • Moreno, J. L. (1954). Old and new trends in sociometry: Turning points in small group research, Sociometry, 17 (2), 179-193.
  • Mullins, N. C. (1973). Theories and theory groups in contemporary American sociology. New York: Harper & Row.
  • RCGD (n.d.). History. The Research Center for Group Dynamics, http://www. rcgd.isr.umich.edu/history.
  • Ruane, F. and Tol, R. S. J. (2008). Rational (successive) h-indices: An application to economics in the Republic of Ireland. Scientometrics, 75 (2), 395-405.
  • Sekercioglu, C. H. (2008). Quantifying coauthor contributions. Science, 322 (5900), 371-375.
  • TIHR (n.d.). Who we are. The Tavistock Institute of Human Relations, http:// www.tavinstitute.org/who-we-are.
  • Tryon, C. (Ed.) (1950). Fostering mental health in our schools. Washington, D. C.: Association for Supervision and Curriculum Development, N. E. A. (1201-16 St., N. W.). Chapters: “Sociometric Grouping in Relation to Child Development” and “Sociodrama as Educative Process” by Helen H. Jennings.
  • Wendl, M. (2007). H-index: however ranked, citations need context. Nature, 449 (7161), 403.
  • Zeleny, L. D. (1941). Measurement of sociation. American Sociological Review, 6 (2), 173-188.
  • Zeleny, L. D. (1947). Selection of the unprejudiced. Sociometry, 10 (4), 396-401.
  • Zeleny, L. D. (1949). A note on the social atom: An illustration. Sociometry, 12 (4), 341-343.
  • Zhang, C. T. (2009). A proposal for calculating weighted citations based on author rank. EMBO Reports, May, 10 (5), 416-7