• Vol 6, No 4 (2015)
  • Industrial Engineering

Big Data Analysis of Indonesian Scholars’ Publications: A Research Theme Mapping

Isti Surjandari, Arian Dhini, Esther Widya Impola Lumbantobing, Anita Titiani Widari, Irfan Prawiradinata


Cite this article as:

Surjandari, I., Dhini, A., Lumbantobing, E.W.I., Widari, A.T., Prawiradinata, I., 2015. Big Data Analysis of Indonesian Scholars’ Publications: A Research Theme Mapping. International Journal of Technology. Volume 6(4), pp. 650-658

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Isti Surjandari Department of Industrial Engineering, Faculty of Engineering, Universitas Indonesia, Kampus Baru UI Depok, Depok 16424, Indonesia
Arian Dhini Department of Industrial Engineering, Faculty of Engineering, Universitas Indonesia, Kampus Baru UI Depok, Depok 16424, Indonesia
Esther Widya Impola Lumbantobing Department of Industrial Engineering, Faculty of Engineering, Universitas Indonesia, Kampus Baru UI Depok, Depok 16424, Indonesia
Anita Titiani Widari Department of Industrial Engineering, Faculty of Engineering, Universitas Indonesia, Kampus Baru UI Depok, Depok 16424, Indonesia
Irfan Prawiradinata Department of Economics, Faculty of Economics and Business, Universitas Indonesia, Kampus Baru UI Depok, Depok 16424, Indonesia
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Abstract
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The advancement of science and technology plays an important role in enhancing the international competitiveness of a nation. One of the indicators for measuring the advancement in science and technology of a nation is the amount of research that is published in international journals. In order to improve the quantity and quality of research publications, research themes mapping of published studies is required. By conducting research themes mapping, the research road map for future research can be developed effectively. In this study, Indonesian scholars’ publications, which are indexed in Scopus during the last five years (2010-2014), were analyzed by applying co-word analysis. Co-word analysis, which is part of text mining, is applied to find the interrelationship among research themes in a big corpus of data. As a result, there are fifteen main research themes in Indonesia as on Quadrant I and IV of strategic diagram.

Bibliometrics, Big data analysis, Co-word analysis, Indonesia, Research theme mapping

References

Apak, S., Atay, E., 2015. Global Competitiveness in the EU through Green Innovation Technologies and Knowledge Production. Procedia-Social and Behavioral Sciences, Volume 181, pp. 207?217

Bar-Ilan, J., 2008. Which h-index?—A comparison of WoS, Scopus and Google Scholar. Scientometrics, Volume 74(2), pp. 257?271

Berelson, B., 1952. Content Analysis in Communication Research. New York, US, The Free Press

Borgman, C.L., Furner, J., 2002. Scholarly Communication and Bibliometrics. Annual Review of Information Science and Technology, Volume 36, pp. 3?72

Cobo, M., Martínez, M., Gutiérrez-Salcedo, M., Fujita, H., Herrera-Viedma, E., 2015. 25years at Knowledge-based Systems: A Bibliometric Analysis. Knowledge-Based Systems, Volume 80, pp. 3?13

Cobo, M.J., López?Herrera, A.G., Herrera?Viedma, E., Herrera, F., 2012. SciMAT: A New Science Mapping Analysis Software Tool. Journal of the American Society for Information Science and Technology, Volume 63(8), pp. 1609?1630

Delecroix, B., Epstein, R., 2004. Co-word Analysis for the non-Scientific Information Example of Reuters Business Briefings. Data Science Journal, Volume 3, pp. 80?87

Krippendorff, K., 1989. Content Analysis: An Introduction to its Methodology. Newbury Park, Sage Publications.

Law, J., Bauin, S., Courtial, J., Whittaker, J., 1988. Policy and the Mapping of Scientific Change: A Co-word Analysis of Research into Environmental Acidification. Scientometrics, Volume 14(3?4), pp. 251?264

Law, J., Rip, A., Callon, M., 1986. Mapping the Dynamics of Science and Technology: Sociology of science in the Real World, Macmillan

LIPI, 2011. Indikator IPTEK Indonesia 2011. Jakarta, Pusat Penelitian dan Pengembangan IPTEK (Pappiptek)

López-Herrera, A.G., Cobo, M.J., Herrera-Viedma, E., Herrera, F., 2010. A Bibliometric Study about the Research based on Hybridating the Fuzzy Logic Field and the Other Computational Intelligent Techniques: A Visual Approach. International Journal of Hybrid Intelligent Systems, Volume 7(1), pp. 17?32

Loy, P., 1979. Content Analysis of Journal Articles as a Technique for Historical Research. Journal of the History of Sociology, Volume 1(2), pp. 93?101

Nguyen, T.V., Pham, L.T., 2011. Scientific Output and its Relationship to Knowledge Economy: An Analysis of ASEAN Countries. Scientometrics, Volume 89(1), pp. 107?117

Oh, J., Lee, B.G., 2014. A Technical Approach for Suggesting Research Directions in Telecommunications Policy. KSII Transactions on Internet and Information Systems (TIIS), Volume 8(12), pp. 4467?4488

Schwab, K., 2014. The Global Competitiveness Report 2014?15. Switzerland: World Economic Forum

SCImago, 2015. SJR - SCImago Journal and Country Rank. Available online at http://www.scimagojr.com, Accessed on 29/05/2015

Song, M., Kim, S., 2013. Detecting the Knowledge Structure of Bioinformatics by Mining Full-text Collections. Scientometrics, Volume 96(1), pp. 183?201

Thelwall, M., 2008. Bibliometrics to Webometrics. Journal of Information Science, Volume 34(4), pp. 605?621

Wang, T.-Y., Chien, S.-C., Kao, C., 2007. The Role of Technology Development in National Competitiveness—Evidence from Southeast Asian countries. Technological Forecasting and Social Change, Volume 74(8), pp. 1357?1373

Wu, C.-C., Leu, H.-J., 2014. Examining the Trends of Technological Development in Hydrogen Energy using Patent Co-word Map Analysis. International Journal of Hydrogen Energy, Volume 39(33), pp. 19262?19269

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