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Social networks in marketing research 2001–2014: a co-word analysis

Author

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  • Zongshui Wang

    (University of Chinese Academy of Sciences)

  • Hong Zhao

    (University of Chinese Academy of Sciences)

  • Yan Wang

    (University of Chinese Academy of Sciences)

Abstract

This article aims to explore the evolution of social network in marketing research by analyzing the co-occurrence index and network structures of keywords. We find that the number of articles which subjective tittle consist of social networks within 19 marketing journals and 9 UTD (Utdallas list of top journals) management journals increase significantly and the number of keywords whose frequency are no less than two also grow dramatically since 2010, the network structures of keywords 2010–2014 become more dispersed shows as most of keywords’ centralities are between 0.32 and 0.63, and more keywords have strong relationships (Higher Cosine Index) with social networks or networks than 2001–2009. We also conclude that social network analysis has been mainly applied to study relationships, diffusion, influence, customer analysis, and enterprise management five subfields. Since mobile internet, intelligent devices, new media and digital technology are developing rapidly, social networks will be a powerful tool to study the related research fields.

Suggested Citation

  • Zongshui Wang & Hong Zhao & Yan Wang, 2015. "Social networks in marketing research 2001–2014: a co-word analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(1), pages 65-82, October.
    • Handle: RePEc:spr:scient:v:105:y:2015:i:1:d:10.1007_s11192-015-1672-9
    DOI: 10.1007/s11192-015-1672-9
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    References listed on IDEAS

    as
    1. Yansong Hu & Christophe Van den Bulte, 2014. "Nonmonotonic Status Effects in New Product Adoption," Marketing Science, INFORMS, vol. 33(4), pages 509-533, July.
    2. Ramnath K. Chellappa & Nilesh Saraf, 2010. "Alliances, Rivalry, and Firm Performance in Enterprise Systems Software Markets: A Social Network Approach," Information Systems Research, INFORMS, vol. 21(4), pages 849-871, December.
    3. Sergio G. Lazzarini, 2007. "The impact of membership in competing alliance constellations: Evidence on the operational performance of global airlines," Strategic Management Journal, Wiley Blackwell, vol. 28(4), pages 345-367, April.
    4. Seung Ho Park & Yadong Luo, 2001. "Guanxi and organizational dynamics: organizational networking in Chinese firms," Strategic Management Journal, Wiley Blackwell, vol. 22(5), pages 455-477, May.
    5. Sinan Aral & Dylan Walker, 2011. "Creating Social Contagion Through Viral Product Design: A Randomized Trial of Peer Influence in Networks," Management Science, INFORMS, vol. 57(9), pages 1623-1639, February.
    6. Gao-Yong Liu & Ji-Ming Hu & Hui-Ling Wang, 2012. "A co-word analysis of digital library field in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(1), pages 203-217, April.
    7. David Godes, 2011. "Commentary--Invited Comment on "Opinion Leadership and Social Contagion in New Product Diffusion"," Marketing Science, INFORMS, vol. 30(2), pages 224-229, 03-04.
    8. Mingfeng Lin & Nagpurnanand R. Prabhala & Siva Viswanathan, 2013. "Judging Borrowers by the Company They Keep: Friendship Networks and Information Asymmetry in Online Peer-to-Peer Lending," Management Science, INFORMS, vol. 59(1), pages 17-35, August.
    9. Lowrey, Tina M & Otnes, Cele C & Ruth, Julie A, 2004. "Social Influences on Dyadic Giving over Time: A Taxonomy from the Giver's Perspective," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 30(4), pages 547-558, March.
    10. Kristine de Valck & Roberts V. Kozinets & Andrea C. Wojnicki & Sarah J.S. Wilner, 2010. "Networked Narratives: Understanding Word-of-Mouth Marketing in Online Communities," Post-Print hal-00458424, HAL.
    11. Wuyts, Stefan & Verhoef, Peter C. & Prins, Remco, 2009. "Partner selection in B2B information service markets," International Journal of Research in Marketing, Elsevier, vol. 26(1), pages 41-51.
    12. Jan Kratzer & Christopher Lettl, 2009. "Distinctive Roles of Lead Users and Opinion Leaders in the Social Networks of Schoolchildren," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 36(4), pages 646-659, December.
    13. Bhatia, Tulikaa & Wang, Lei, 2011. "Identifying physician peer-to-peer effects using patient movement data," International Journal of Research in Marketing, Elsevier, vol. 28(1), pages 51-61.
    14. Tahereh Dehdarirad & Anna Villarroya & Maite Barrios, 2014. "Research trends in gender differences in higher education and science: a co-word analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 273-290, October.
    15. Duncan J. Watts & Peter Sheridan Dodds, 2007. "Influentials, Networks, and Public Opinion Formation," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 34(4), pages 441-458, May.
    16. Xiaoguang Wang & Qikai Cheng & Wei Lu, 2014. "Analyzing evolution of research topics with NEViewer: a new method based on dynamic co-word networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1253-1271, November.
    17. Wuyts, S.H.K. & Verhoef, P. & Prins, R., 2009. "Partner selection in B2B informational service markets," Other publications TiSEM 35b4b91f-294c-47a6-95b2-7, Tilburg University, School of Economics and Management.
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