Introducing Facetometrics:A New Keyword-Based Measure for Locating Research Areas of a Subject
Keywords:Facetometrics, Keyword Cluster, Hawking Radiation, Research Areas, Web of Science, Astrophysics Research Trend, Research Trend, Facet Analysis.
AbstractThis paper has introduced a technique to find out research areas in a subject by the analysis of keywords assigned to articles. Keywords assigned to 1227 research papers published between 2004 and 2013 in a specific subject area "Hawking radiation" have been collected and analyzed. The research articles were retrieved from Web of Science using the search term "Hawking Radiation". The assigned keywords occurred with different frequencies. The keywords formed the clusters of words. The names given to the clusters were in accordance with the names of the most frequently occurring word in a keyword clusters. The clusters have been classed into three groups by size, i.e. small cluster, medium cluster and large cluster. As fairly large number of keywords formed large clusters, it has been assumed that the potential facets are represented by such clusters. Three basic parameters associated with the keyword clusters were identified, viz. no. of keywords in a cluster, frequency of occurrence and occupancy. Four indicators, viz., stability index, integrated visibility index, momentary visibility index and potency index have been defined on the basis of these three parameters and their fluctuations over the study period have been noticed. These indicators hold different values for different clusters and facets. The value ranges of these are categorized in five groups, viz. very high, high, medium, low and very low. Each indicator describes a particular aspect of a facet. These indicators may be used to measure various aspects of facets.
Berelson, B. 1952. Content Analysis in Communications Research. New York: Free Press.
Black, J.D. 1962. The Keyword: It’s use in abstracting, indexing and retrieving information. Aslib Proceedings. 14(10): 313–321.
Cambrosio, A., et al. 1993. Historical scientometrics? Mapping over 70 years of biological safety research with Co-word analysis. Scientometrics. 27(2): 119–143.
Coulter, N., Monarch, I. & Konda, S. 1998. Software engineering as seen through its research literature: A study in co-word analysis. Journal of the American Society for Information Science. 49(13): 1206–1223.
Courtial, J.P. 1994. (A) Co-word analysis of scientometrics. Scientometrics. 31(3): 251–260.
Courtial, J.P., Cahlik, T. & Callon, M. 1994. (A) Model for social interaction between cognition and action through a key-word simulation of knowledge growth. Scientometrics. 31(2): 173–192.
Dutta, B. 2008. An analytical investigation into the characteristics of a subject - A case study. PhD thesis. Jadavpur University.
Dutta, B., Majumder, K.P. & Sen, B.K. 2008. Classification of keywords extracted from research articles published in science journals. Annals of Library and Information Studies. 55(4): 317–333.
Dutta, B., Majumder, K.P., Sen, B.K. 2010. Content management by keywords: an analytical study. SRELS Journal of Information Management. 47(6): 599–620.
Hartley, J. & Kostoff, R.N. 2003. How useful are ‘keywords’ in scientific journals? Journal of Information Science. 29(5): 433–438.
Index Term. Retrieved on 16 Jan 2016 from https://en.wikipedia.org/wiki/Index_term
Retrieved on 5 Mar 2015 from http://shodhganga.inflibnet.ac.in/bitstream/10603/5109/10/10_chapter 1.pdf
Law, J. & Whittaker, J. 1992. Mapping acidification research: A test of the co-word method. Scientometrics. 23(3): 417–461.
Looze, M.D. & Lemarie, J. 1997. Corpus relevance through co-word analysis: An application to plant proteins. Scientometrics. 39(3): 267–280.
Luhn, H.P. 1960. Keyword-in-Context for technical literature (KWIC Index). American Documentation. 11.
Noyons, E.C.M. & van Raan, A.F.J. 1998. Advanced mapping of science and technology. Scientometrics. 41(1–2): 61–67.
Noyons, E.C.M. & van Raan, A.F.J. 1998. Monitoring scientific developments from a dynamic perspective: Self- organized structuring to map neural network research. Journal of the American Society for Information Science. 49(1): 68–81.
de Solla Price, D.J. 1963. Little science, big science. New York: Columbia University Press.
de Solla Price, D.J. 1975. Science since Babylon. Enlarged ed. New Haven: Yale University Press; p. 165–186.
Seetharama, S. 1997. Information consolidation and repackaging: framework, methodology, planning. New Delhi: Ess Ess Pub.
Van Raan, A.F.J., & Tijssen, R.J.W. 1993. The neural net of neural network research: An exercise in bibliometric mapping. Scientometrics. 26(1): 169–192.
Van Raan, A.F.J. 1997. Scientometrics: State-of-the-art. Scientometrics. 38(1): 205–218.
Willett, P. 1988. Recent trends in hierarchical document clustering: A critical review. Information Processing and Management. 24(5): 577–597.