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Decomposing social and semantic networks in emerging “big data” research

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  • Park, Han Woo
  • Leydesdorff, Loet

Abstract

This paper examines the structural patterns of networks of internationally co-authored SCI papers in the domain of research driven by big data and provides an empirical analysis of semantic patterns of paper titles. The results based on data collected from the DVD version of the 2011 SCI database identify the U.S. as the most central country, followed by the U.K., Germany, France, Italy, Australia, the Netherlands, Canada, and Spain, in that order. However, some countries (e.g., Portugal) with low degree centrality occupied relatively central positions in terms of betweenness centrality. The results of the semantic network analysis suggest that internationally co-authored papers tend to focus on primary technologies, particularly in terms of programming and related database issues. The results show that a combination of words and locations can provide a richer representation of an emerging field of science than the sum of the two separate representations.

Suggested Citation

  • Park, Han Woo & Leydesdorff, Loet, 2013. "Decomposing social and semantic networks in emerging “big data” research," Journal of Informetrics, Elsevier, vol. 7(3), pages 756-765.
    • Handle: RePEc:eee:infome:v:7:y:2013:i:3:p:756-765
    DOI: 10.1016/j.joi.2013.05.004
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    References listed on IDEAS

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    1. Matthew A. Shapiro & Han Woo Park, 2012. "Regional development in South Korea: accounting for research area in centrality and networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 271-287, January.
    2. Ki-Seok Kwon & Han Woo Park & Minho So & Loet Leydesdorff, 2012. "Has globalization strengthened South Korea’s national research system? National and international dynamics of the Triple Helix of scientific co-authorship relationships in South Korea," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 163-176, January.
    3. Park, Han Woo & Leydesdorff, Loet, 2010. "Longitudinal trends in networks of university-industry-government relations in South Korea: The role of programmatic incentives," Research Policy, Elsevier, vol. 39(5), pages 640-649, June.
    4. Han Woo Park & Loet Leydesdorff, 2008. "Korean journals in the Science Citation Index: What do they reveal about the intellectual structure of S&T in Korea?," Scientometrics, Springer;Akadémiai Kiadó, vol. 75(3), pages 439-462, June.
    5. Han Park, 2012. "How do social scientists use link data from search engines to understand Internet-based political and electoral communication?," Quality & Quantity: International Journal of Methodology, Springer, vol. 46(2), pages 679-693, February.
    6. Lucio-Arias, Diana & Leydesdorff, Loet, 2009. "The dynamics of exchanges and references among scientific texts, and the autopoiesis of discursive knowledge," Journal of Informetrics, Elsevier, vol. 3(3), pages 261-271.
    7. Loet Leydesdorff & Lutz Bornmann, 2012. "Testing differences statistically with the Leiden ranking," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(3), pages 781-783, September.
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    24. Santiago Ruiz-Navas & Kumiko Miyazaki, 2018. "A complement to lexical query’s search-term selection for emerging technologies: the case of “big data”," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 141-162, October.

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