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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. Loet Leydesdorff & Lutz Bornmann, 2012. "Testing differences statistically with the Leiden ranking," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(3), pages 781-783, September.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
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    Cited by:

    1. Zhang, Yi & Huang, Ying & Porter, Alan L. & Zhang, Guangquan & Lu, Jie, 2019. "Discovering and forecasting interactions in big data research: A learning-enhanced bibliometric study," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 795-807.
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    5. Roberto Franzosi, 2021. "What’s in a text? Bridging the gap between quality and quantity in the digital era," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(4), pages 1513-1540, August.
    6. Han Woo Park, 2014. "An interview with Loet Leydesdorff: the past, present, and future of the triple helix in the age of big data," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 199-202, April.
    7. Chinnadurai Kathiravan & Murugesan Selvam & Desti Kannaiah & Kasilingam Lingaraja & Vadivel Thanikachalam, 2019. "On the relationship between weather and Agricultural Commodity Index in India: a study with reference to Dhaanya of NCDEX," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(2), pages 667-683, March.
    8. Ying Huang & Jannik Schuehle & Alan L. Porter & Jan Youtie, 2015. "A systematic method to create search strategies for emerging technologies based on the Web of Science: illustrated for ‘Big Data’," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 2005-2022, December.
    9. Weiai Wayne Xu & Ji-young Park & Han Woo Park, 2017. "Longitudinal dynamics of the cultural diffusion of Kpop on YouTube," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(4), pages 1859-1875, July.
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    12. Yuchul Jung, 2017. "A semantic annotation framework for scientific publications," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(3), pages 1009-1025, May.
    13. Jungwon Yoon & Joshua SungWoo Yang & Han Woo Park, 2017. "Quintuple helix structure of Sino-Korean research collaboration in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 61-81, October.
    14. Xiaozan Lyu & Rodrigo Costas, 2020. "How do academic topics shift across altmetric sources? A case study of the research area of Big Data," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(2), pages 909-943, May.
    15. Jae-Hyuck Lee & Do-Kyun Kim, 2021. "Analysis of the Discriminatory Perceptions of Victims on Damage from Environmental Pollution: A Case Study of the Hebei Spirit Oil Spill in South Korea," Land, MDPI, vol. 10(10), pages 1-12, October.
    16. Han Woo Park & Jungwon Yoon & Loet Leydesdorff, 2016. "The normalization of co-authorship networks in the bibliometric evaluation: the government stimulation programs of China and Korea," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 1017-1036, November.
    17. 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.
    18. Marko M. Skoric, 2014. "The implications of big data for developing and transitional economies: Extending the Triple Helix?," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 175-186, April.
    19. Srijana Acharya & Han Woo Park, 2017. "Open data in Nepal: a webometric network analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(3), pages 1027-1043, May.
    20. Arif Mehmood & Byung-Won On & Ingyu Lee & Han Woo Park & Gyu Sang Choi, 2018. "Corroborating social media echelon in cancer research," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(2), pages 801-813, March.
    21. Vivek Kumar Singh & Sumit Kumar Banshal & Khushboo Singhal & Ashraf Uddin, 2015. "Scientometric mapping of research on ‘Big Data’," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(2), pages 727-741, November.
    22. Hyo Chan Park & Jonghee M. Youn & Han Woo Park, 2019. "Global mapping of scientific information exchange using altmetric data," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(2), pages 935-955, March.
    23. Maruccia, Ylenia & Solazzo, Gianluca & Del Vecchio, Pasquale & Passiante, Giuseppina, 2020. "Evidence from Network Analysis application to Innovation Systems and Quintuple Helix," Technological Forecasting and Social Change, Elsevier, vol. 161(C).

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