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Identifying research facilitators in an emerging Asian Research Area

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Abstract

We introduce a novel set of metrics for triadic closure among individuals or groups to model how co-authorship networks become more integrated over time. We call this process of triadic, third-party mediated integration, research facilitation. We apply our research facilitation or RF-metrics to the development of the Pan-Asian SNP (PASNP) Consortium, the first inter-Asian genomics network. Our aim was to examine if the consortium catalyzed research facilitation or integration among the members and the wider region. The PASNP Consortium is an ideal case study of an emerging Asian Research Area because its members themselves asserted a regional Asian identity. To validate our model, we developed data mining software to extract and match full author and institutional information from the PDFs of scientific papers.

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Notes

  1. Nuance Omnipage, versions 16 and 17.

  2. Otherwise, all initial members of a small networks might have some traceable path to later-facilitated connections.

  3. The US bio-chip company, Affymetrix, supported the consortium with equipment, training, and manpower. The company also opened its first overseas manufacturing plant in Singapore.

  4. The Chinese Whispers algorithm has been empirically shown to perform well in detecting small-worlds even in networks with skewed mixture of clusters and is faster than other network clustering algorithms such as minimum cut and hierarchical clustering which are capable of similar performances. Owing to the stochastic nature of the algorithm, it might not be possible to replicate the exact number of clusters on an arbitrary run on the dataset, yet the empirical results would still be the same on every run.

  5. Small-worlds are a family of networks that form a continuum extending between the class of regular networks and random networks. The mean geodesic distance and clustering coefficient are measures to quantify the small-worldliness of connected networks. Small-world networks typically have high clustering coefficients yet low mean geodesic distances.

  6. Note that no relevant activity occured in 2009.

References

  • Barabási, A. L., & Albert, R. (1999) Emergence of scaling in random networks. Science, 286(5439), 509–512.

    Google Scholar 

  • Basu, A. (2001). A comparative analysis of India and other Asian countries based on science, technology and development indicators. Research Evaluation, 10(1), 203.

    Article  Google Scholar 

  • Biemann, C. (2006). Chinese whispers An efficient graph clustering algorithm and its application to natural language processing problems. In Proceedings of the first workshop on graph based methods for natural language processing, TextGraphs-1 (pp. 73–80).

  • Burt, R. S. (2000). The network structure of social capital. Research in Organizational Behavior, 22, 345–423.

    Article  Google Scholar 

  • Cho, P. S., Bullock, N., & Ali, D. (2013). The bioinformatic basis of Pan-Asianism. East Asian Science, Technology and Society: An International Journal, 7(2), 1–27. doi:10.1215/18752160-2142980.

  • Councill, I. G., Giles, C. L., & Kan, M. Y. (2008). Parscit: An open-source CRF reference string parsing package. In Proceedings of the international conference on language resources and evaluation. European Language Resources Association.

  • Do, H. H. N., Chandrasekaran, M. K., Cho, P. S., & Kan, M. Y. (2013). Extracting and matching authors and affiliations in scholarly documents. In Joint conference on digital libraries. New York: ACM (Forthcoming).

  • Duara, P. (2001). The discourse of civilization and Pan-Asianism. Journal of World History, 12(1), 99–130.

    Article  Google Scholar 

  • Frame, D. J., & Carpenter, M. P. (1979) International research collaboration. Social Studies of Science, 9(4), 481–497.

    Article  Google Scholar 

  • Garg, K. (2002). Scientometrics of laser research in India and China. Scientometrics, 55(1), 71–85.

    Article  Google Scholar 

  • Granovetter, M. S. (1973). The strength of weak ties. The American Journal of Sociology, 78(6), 1360–1380.

    Article  Google Scholar 

  • Guan, J., & Ma, N. (2007). A bibliometric study of China’s semiconductor literature compared with other major Asian countries. Scientometrics, 70(1), 107–124

    Article  Google Scholar 

  • Haustein, S., Tunger, D., Heinrichs, G., & Baelz, G. (2011). Reasons for and developments in international scientific collaboration: Does an Asia–Pacific research area exist from a bibliometric point of view? Scientometrics, 86(3), 729.

    Article  Google Scholar 

  • Karl, R. (1998). Creating Asia: China in the world at the beginning of the twentieth century. The American Historical Review, 103(4), 1096–1118.

    Article  Google Scholar 

  • Khan, G. F., & Park, H. W. (2012). Editorial: Triple helix and innovation in Asia using scientometrics, webometrics, and informetrics. Scientometrics, 90(1), 1.

    Article  Google Scholar 

  • Kossinets, G., & Watts, D. J. (2006). Empirical analysis of an evolving social network. Science, 311(5757), 88–90.

    MathSciNet  MATH  Google Scholar 

  • Kumar, R., Tripathi, R., & Tiwari, M. (2011). A case study of impact of patenting in the current developing economies in Asia. Scientometrics, 88(2), 575–587.

    Article  Google Scholar 

  • Leclerc, M., & Gagné, J. (1994). International scientific cooperation: The continentalization of science. Scientometrics, 31, 261–292.

    Article  Google Scholar 

  • Lewis, M. W., & Wigen, K. E. (1997) The myth of continents: A critique of metageography. Berkeley, CA: University of California Press.

    Google Scholar 

  • Luukkonen, T., Persson, O., & Sivertsen, G. (1992). Understanding patterns of international scientific collaboration. Science, Technology & Human Values, 17(1), 101–126.

    Article  Google Scholar 

  • Maoz, Z. (2009). The effects of strategic and economic interdependence on international conflict across levels of analysis. American Journal of Political Science, 53(1), 223–240.

    Article  Google Scholar 

  • McPherson, M., Smith-Lovin, L., & Cook J. M. (2001). Birds of a feather: Homophily in social networks. Annual Review of Sociology, 27(1), 415–444.

    Article  Google Scholar 

  • Murthy, R. (2009). India is “Thailand” to Asia, say scientists. Asia Times Online.

  • Normile, D. (2004). Consortium hopes to map human history in Asia. Science, 306, 1667.

    Google Scholar 

  • Obstfeld, D. (2005) Social networks, the tertius iungens orientation, and involvement in innovation. Administrative Science Quarterly, 50(1), 100–130.

    Google Scholar 

  • Okubo, Y., Miquel, J., Frigoletto, L., & Doré, J. (1992). Structure of international collaboration in science: Typology of countries through multivariate techniques using a link indicator. Scientometrics, 25, 321–351.

    Article  Google Scholar 

  • Rapoport, A. (1953). Spread of information through a population with socio-structural bias. Bulletin of Mathematical Biology, 15(4), 523–533.

    MathSciNet  Google Scholar 

  • Salton, G., & McGill, M. (1983) Introduction to modern information retrieval. Auckland: McGraw-Hill.

    MATH  Google Scholar 

  • Schott, T. (1988) International influence in science: Beyond center and periphery. Social Science Research, 17(3), 219–238.

    Article  Google Scholar 

  • Schubert, A., & Braun, T. (1990) International collaboration in the sciences 1981–1985. Scientometrics, 19, 3–10.

    Article  Google Scholar 

  • Shils, E. (1975). Center and periphery. In Essays in macrosociology (pp. 3–16). Chicago: University of Chicago Press

  • Shin, J. C., Lee, S. J., & Kim, Y. (2012) Knowledge-based innovation and collaboration: A triple-helix approach in Saudi Arabia. Scientometrics, 90(1), 311.

    Article  Google Scholar 

  • Tang, J., Wu, S., Sun, J., & Su, H. (2012). Cross-domain collaboration recommendation. In Proceedings of the 18th ACM SIGKDD international conference on knowledge discovery and data mining (KDD ’12) (pp. 1285–1293).

  • The HUGO Pan-Asian SNP Consortium. (2009). Mapping human genetic diversity in Asia. Science, 326(5959), 1541–1545.

    Google Scholar 

  • Watts, D. J., & Strogatz, S. H. (1998). Collective dynamics of small-world networks. Nature, 393(6684), 440–442.

    Article  Google Scholar 

  • Wineman, J. D., Kabo, F. W., & Davis, G. F. (2009). Spatial and social networks in organizational innovation. Environment and Behavior, 41(3), 427–442.

    Article  Google Scholar 

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Acknowledgments

This article was supported by the Fetzer Franklin Trust project on Culture and Cognition, National University of Singapore—Global Asia Institute project on Mapping the Technological and Cultural Landscape of Scientific Development in Asia (grant AC-2010-1-004), and John Templeton Foundation project on Religion’s Impact on Human Life. We acknowledge Sy Bac Vo for assistance in the development of Eq. (3). Color printing supported by Asian Biopoleis Project grant MOE2009-T2-2-013.

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Correspondence to Philip S. Cho.

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Cho, P.S., Do, H.H.N., Chandrasekaran, M.K. et al. Identifying research facilitators in an emerging Asian Research Area. Scientometrics 97, 75–97 (2013). https://doi.org/10.1007/s11192-013-1051-3

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