Mathematics and statistics related studies in Indonesia using co-authorship network analysis

(1) * Irene Muflikh Nadhiroh Mail (Indonesian Institute of Science, Indonesia)
(2) Ria Hardiyati Mail (Indonesian Institute of Science, Indonesia)
(3) Mia Amelia Mail (Indonesian Institute of Science, Indonesia)
(4) Tri Handayani Mail (Indonesian Institute of Science, Indonesia)
*corresponding author


Indonesian scholars have published a numbers of articles in numerous international publications, however, it still lags behind other Singapore, Malaysia, and Vietnam. This article performs a bibliometrics analysis and examine the collaboration network in Mathematics and Statistics related subject of scholars with Indonesian affiliation as recorded in Web of Science. In total, based on article publications during 2009-2017, 426 articles were retrieved. Bandung Institute of Technology (ITB) was the affiliation with the highest number of articles (48%) and number of authors (27%). Using Social Network Analysis to examine co-authorship networks, this research shows that the co-author network has the highest centrality in the ITB affiliation. Meanwhile, dependency of foreign affiliation is still high, shown as a high percentage (84% of all articles) of international co-authorship. Co-authorship network of Mathematics and Statistics related studies in Indonesia possesses as a scale-free network and followed the power law distribution. This research showed the achievement of Indonesian scholars of Mathematics and Statistics, and can be used to evaluate the knowledge transfer in these subjects and related areas.


Mathematics; Statistics; Scientometrics; Social network analysis; Co-authorship



Article metrics

Abstract views : 1101 | PDF views : 237




Full Text



[1] OECD and Asian Development Bank, Education in Indonesia Rising to the Challenge, 2015, doi:

[2] Statistics Indonesia (BPS), “Education Indicator, 1994-2017,” Jakarta, 2017, available at:

[3] M. Asadi, “"Information Theory” Research Trend: A Bibliometric Approach,” SLIS Connect., vol. 4, no. 1, 2015, doi:

[4] A. Van Raan, “Scientometrics: State of The Art,” Saintometrics, vol. 38, no. 1, pp. 205–218, 1997, doi:

[5] A. Van Raan, “Advances in bibliometric analysis: research performance assessment and science mapping,” in Bibliometrics. Use and abuse in the review of research performance, pp. 17-28, London: Portland Press Limited, 2014, available at:

[6] S. Arunachalam, “Mathematics research in India today: What does the literature reveal?,” Sci. 52 Ed., vol. 2, pp. 235–259, 2001, doi:

[7] I. M. Nadhiroh, M. N. Aidi, and B. Sartono, “Scientometrics Studies: Social Network Analysis of Indonesian International Publication on Chemistry,” STI Policy Manag. J., vol. 13, no. 1, pp. 68–84, 2015, doi:

[8] H. Wen and Y. Huang, “Trends and performance of oxidative stress research from 1991 to 2010,” Sci. 91 Ed., vol. 1, pp. 51–63, 2012, doi:

[9] A. Abbasi and J. Altmann, “A social network system for analyzing publication activities of researcherse,” Symp. Collect. Intell., vol. 76, pp. 49–61, 2010, doi:

[10] L. C. Freeman, “Centrality in social networks conceptual clarification,” Soc. Networks, 1st Ed., vol. 3, pp. 215–239, 1979, available at:

[11] W. Glänzel and A. Schubert, "Analysing Scientific Networks Through Co-Authorship", 2005, pp. 257-276, doi:

[12] J. P. Mena‐Chalco, L. A. Digiampietri, F. M. Lopes, and R. M. Cesar, “Brazilian bibliometric co-authorship networks,” J. Assoc. Inf. Sci. Technol. 65 Ed., vol. 7, pp. 1424–1445, 2014, doi:

[13] I. Alhaider, K. K. M. Ahmed, and B. M. Gupta, “Pharmaceutical research in the Kingdom of Saudi Arabia: A scientometric analysis during 2001–2010,” Saudi Pharm. Journal, 23 Ed., vol. 3, pp. 215–222, 2013, doi:

[14] A. . Sorensen, A. Seary, and K. Riopelle, “Alzheimer’s disease research: A COIN study using co-authorship network analytics,” Collab. Innov. Networks, 2nd Ed., vol. 4, pp. 6582–6586, 2010, doi:

[15] J. Li and Y. Li, “Patterns and evolution of co-authorship in China’s humanities and social sciences,” Sci. 102 Ed., vol. 3, pp. 1997–2010, 2015, doi:

[16] E. Yan, Y. Ding, and Q. Zhu, “Mapping library and information science in China: A co-authorship network analysis,” Sci. 83 Ed., vol. 1, pp. 115–131, 2010, doi:

[17] J. W. Grossman, “The evolution of the mathematical research collaboration graph,” Congr. Numer., vol. 158, pp. 201–212, 2002, available at: Google Scholar.

[18] M. E. J. Newman, “Co-authorship networks and patterns of scientific collaboration,” Proc. Natl. Acad. Sci. USA, 101 Ed., vol. 1, pp. 5200–5205, 2004, doi: 10.1073/pnas.0307545100, doi:

[19] J. C. Brunson et al., “Evolutionary events in a mathematical sciences research collaboration network,” Sci. 99 Ed., vol. 3, pp. 973–998, 2014, doi:

[20] A. Clauset, C. . Shalizi, and M. E. J. Newman, “Power-law distributions in empirical data,” SIAM Rev. 51 Ed., vol. 4, pp. 661–703, 2009, doi:

[21] C.S.Gillespie, “The poweRlaw package: Examples", available at:;jsessionid=B48702D798971047F45733788D4D886C?doi=

[22] C. . Wu and H. J. Leu, “Examining the trends of technological development in hydrogen energy using patent co-word map analysis,” Int. J. Hydrog. Energy, 39 Ed., vol. 33, pp. 19262–19269, 2014, doi:

[23] I. Surjandari, A. Dhini, E. W. I. Lumbantobing, and I. Prawiradinata, “Big data analysis of Indonesian scholars publications: A research theme mapping,” Int. J. Technol. 6th Ed., vol. 4, pp. 650–658, 2015, doi:

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

International Journal of Advances in Intelligent Informatics
ISSN 2442-6571  (print) | 2548-3161 (online)
Organized by Informatics Department - Universitas Ahmad Dahlan, and ASCEE Computer Society
Published by Universitas Ahmad Dahlan
E: (paper handling issues), (publication issues)

View IJAIN Stats

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0