doi:

DOI: 10.3724/SP.J.1085.2012.00041

Advances in Polar Science 2012/23:1 PP.41-46

Content analysis of documents using neural networks: A study of Antarctic science research articles published in international journals


Abstract:
Content analysis of scientific papers emanating from Antarctic science research during the 25 years period (1980-2004) has been carried out using neural network based algorithm-CATPAC. A total of 10 942 research articles published in Science Citation Indexed (SCI) journals were used for the study. Normalized co-word matrix from 35 most-used significant words was used to study the semantic association between the words. Structural Equivalence blocks were constructed from these 35 most-used words. Four-block model solution was found to be optimum. The density table was dichotomized using the mean density of the table to derive the binary matrix, which was used to construct the network map. Network maps represent the thematic character of the blocks. The blocks showed preferred connection in establishing semantic relationship with the blocks, characterizing thematic composition of Antarctic science research. The analysis has provided an analytical framework for carrying out studies on the content of scientific articles. The paper has shown the utility of co-word analysis in highlighting the important areas of research in Antarctic science.

Key words:Antarctica, content analysis, thematic analysis, scientometrics, neural network, co-occurrence, co-word, social network analysis

ReleaseDate:2014-07-21 16:31:14



1 Leydesdorff L. Full text analysis of scientific articles in: The challenges of scientometrics: The development, measurement, and self-Organization of scientific communication. Universal Publishers, USA, 2001.

2 Borgatti S P, Everett M G, Freeman L C. UCINET for Windows: Software for social network analysis. Harvard: Analytic Technologies, 2002.

3 Prabir G D. National and institutional productivity and collaboration in Antarctic science: An analysis of 25 years of journal publications (1980-2004). Polar Research, 2007, 26(2): 175-180.

4 Prabir G D. Intellectual structure of Antarctic science: A 25-year analysis. Scientometrics, 2008, 77(3): 389-414.

5 Garfield E. The value of articles in bibliographic citations. Current Contents, 1968, 5: 25-26.

6 Garfield E. ISIs master list of title words provides a special perspective on science and scholarly activity. Part 2. Comparative etymology of neologisms and research fronts. Current Contents, 1986, 28: 214-221.

7 Garfield E. Keyword Plus: ISI’s breakthrough retrieval method. Part 1. Expanding your searching power on Current Contents on Diskette. Current Contents, 1990, 32: 295-299.

8 Woelfel J K. CATPAC II User’s Manual. Rah Press Place. New York. 1998.

9 Raye K J H, Johnson C L, Mitchell M K, et al. FMRI investigations of left and right PFC contributions to episodic remembering. Psychobiology, 2000, 28: 197-206.

10 Lorrain F, White H D. Structural equivalence of individuals in networks. Journal of Mathematical Sociology, 1971, 1: 49-80.

11 Hanneman R. Introduction to social network methods. http://www.faculty.ucr.edu/~hanneman/, 2011.

12 Breiger R L, Boorman S A, Arabie P. An algorithm for clustering rational data with applications to social networks analysis and comparison with multidimensional scaling. Journal of Mathematical Psychology, 1975, 12: 328-383.

13 Burt R S. Social contagion and innovation: Cohesion versus structuralequivalence. American Journal of Sociology, 1987, 92: 1287-1335.

14 Doreian P, Fararo T J. Structural equivalence in a journal network. Journal of the American Society for Information Science, 1985, 36: 28-37.

15 Bhattacharya S, Basu P. Mapping a research area at the micro level using co-word analysis. Scientometrics, 1998, 43(3): 359-372.

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