IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v105y2015i2d10.1007_s11192-015-1723-2.html
   My bibliography  Save this article

Research characteristics and status on social media in China: A bibliometric and co-word analysis

Author

Listed:
  • Chunmei Gan

    (Sun Yat-sen University)

  • Weijun Wang

    (Central China Normal University)

Abstract

This study aims to map the intellectual structure of social media research in China from 2006 to 2013. Bibliometric and co-word analysis were employed to reveal the characteristics and status on social media research in China. Data was collected from China Academic Journals Full-text Database during the period of 2006–2013. In bibliometric analysis, descriptors of years, themes, subjects, institutions and authors were applied to obtain the research characteristics of social media. In co-word analysis, hierarchical cluster analysis, strategic diagram and social network analysis were adopted. Main results show that, a total of 3178 CSSCI papers on social media have risen yearly and exponentially. The most and distinctive themes were microblog, blog, virtual community and social networking site. The most common subject was News and media, followed by Library, information and digital library, Computer software and application. Wuhan University, Renmin University of China and Nanjing University ranked the top three on the most publications. And the distribution of number of authors with different publications obeys power-law distribution. Moreover, the number of keyword frequency obeys power-law distribution. The core keywords include social media, traditional media, Internet, dissemination and user. There are ten research directions on social media in China, some of which are highly correlated. Generally, the relatively dispersive distribution of research topics suggests the imbalanced development on social media research in China. Some hot topics are well-developed and tend to be mature, a few topics have a great potential for further development, and many other topics are marginal and immature.

Suggested Citation

  • Chunmei Gan & Weijun Wang, 2015. "Research characteristics and status on social media in China: A bibliometric and co-word analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(2), pages 1167-1182, November.
    • Handle: RePEc:spr:scient:v:105:y:2015:i:2:d:10.1007_s11192-015-1723-2
    DOI: 10.1007/s11192-015-1723-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-015-1723-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11192-015-1723-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Chang-Ping Hu & Ji-Ming Hu & Sheng-Li Deng & Yong Liu, 2013. "A co-word analysis of library and information science in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(2), pages 369-382, November.
    2. Gohar Feroz Khan, 2013. "Social media-based systems: an emerging area of information systems research and practice," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(1), pages 159-180, April.
    3. Qinghua Zhai & Jing Su & Minghai Ye, 2014. "Focus on China: the current status of entrepreneurship research in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1985-2006, March.
    4. 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.
    5. Kaplan, Andreas M. & Haenlein, Michael, 2010. "Users of the world, unite! The challenges and opportunities of Social Media," Business Horizons, Elsevier, vol. 53(1), pages 59-68, January.
    6. Kietzmann, Jan H. & Hermkens, Kristopher & McCarthy, Ian P. & Silvestre, Bruno S., 2011. "Social media? Get serious! Understanding the functional building blocks of social media," Business Horizons, Elsevier, vol. 54(3), pages 241-251, May.
    7. Gohar Feroz Khan, 2013. "Erratum to: Social media-based systems: an emerging area of information systems research and practice," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(1), pages 181-182, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. S. Lozano & L. Calzada-Infante & B. Adenso-Díaz & S. García, 2019. "Complex network analysis of keywords co-occurrence in the recent efficiency analysis literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(2), pages 609-629, August.
    2. Yun Qi & Xingyu Chen & Zhan Hu & Chunfeng Song & Yuanlu Cui, 2019. "Bibliometric Analysis of Algal-Bacterial Symbiosis in Wastewater Treatment," IJERPH, MDPI, vol. 16(6), pages 1-18, March.
    3. Minwei Ai & Muhammad Masood, 2021. "De-Westernization in journalism research: a content and network analysis of the BRICS journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(12), pages 9477-9498, December.
    4. A. V. Chumachenko & B. G. Kreminskyi & Iu. L. Mosenkis & A. I. Yakimenko, 2020. "Dynamics of topic formation and quantitative analysis of hot trends in physical science," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 739-753, October.
    5. Chencheng Fang & Jiantong Zhang & Wei Qiu, 2017. "Online classified advertising: a review and bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1481-1511, December.
    6. Zhichao Fang & Rodrigo Costas & Wencan Tian & Xianwen Wang & Paul Wouters, 2020. "An extensive analysis of the presence of altmetric data for Web of Science publications across subject fields and research topics," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2519-2549, September.
    7. Zekun Wang & Zhaohua Deng & Xiang Wu, 2019. "Status Quo of Professional–Patient Relations in the Internet Era: Bibliometric and Co-Word Analyses," IJERPH, MDPI, vol. 16(7), pages 1-19, April.
    8. Aliakbar Pourhatami & Mohammad Kaviyani-Charati & Bahareh Kargar & Hamed Baziyad & Maryam Kargar & Carlos Olmeda-Gómez, 2021. "Mapping the intellectual structure of the coronavirus field (2000–2020): a co-word analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 6625-6657, August.
    9. Saddam Hossain & M. Sadik Batcha & Ibrahim Atoum & Naved Ahmad & Afnan Al-Shehri, 2022. "Bibliometric Analysis of the Scientific Research on Sustainability in the Impact of Social Media on Higher Education during the COVID-19 Pandemic," Sustainability, MDPI, vol. 14(24), pages 1-17, December.
    10. Sung Kim & Derek Hansen & Richard Helps, 2018. "Computing research in the academy: insights from theses and dissertations," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(1), pages 135-158, January.
    11. Seyedmohammadreza Hosseini & Hamed Baziyad & Rasoul Norouzi & Sheida Jabbedari Khiabani & Győző Gidófalvi & Amir Albadvi & Abbas Alimohammadi & Seyedehsan Seyedabrishami, 2021. "Mapping the intellectual structure of GIS-T field (2008–2019): a dynamic co-word analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 2667-2688, April.
    12. Zhang, Tongyang & Sun, Ran & Fensel, Julia & Yu, Andrew & Bu, Yi & Xu, Jian, 2023. "Understanding the domain development through a word status observation model," Journal of Informetrics, Elsevier, vol. 17(2).
    13. Wenting Yang & Jiantong Zhang & Ruolin Ma, 2020. "The Prediction of Infectious Diseases: A Bibliometric Analysis," IJERPH, MDPI, vol. 17(17), pages 1-19, August.
    14. Francesco Paolo Appio & Antonella Martini & Silvia Massa & Stefania Testa, 2016. "Unveiling the intellectual origins of Social Media-based innovation: insights from a bibliometric approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(1), pages 355-388, July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Smith, Andrew N. & Fischer, Eileen & Yongjian, Chen, 2012. "How Does Brand-related User-generated Content Differ across YouTube, Facebook, and Twitter?," Journal of Interactive Marketing, Elsevier, vol. 26(2), pages 102-113.
    2. Monica Patrut, 2015. "Candidates In The Presidential Elections In Romania (2014): The Use Of Social Media In Political Marketing," Studies and Scientific Researches. Economics Edition, "Vasile Alecsandri" University of Bacau, Faculty of Economic Sciences, issue 21.
    3. Marcel Rosenberger & Christiane Lehrer & Reinhard Jung, 0. "Integrating data from user activities of social networks into public administrations," Information Systems Frontiers, Springer, vol. 0, pages 1-14.
    4. Vasile-Daniel Păvăloaia & Elena-Mădălina Teodor & Doina Fotache & Magdalena Danileţ, 2019. "Opinion Mining on Social Media Data: Sentiment Analysis of User Preferences," Sustainability, MDPI, vol. 11(16), pages 1-21, August.
    5. Sarbu Miruna, 2017. "Does Social Media Increase Labour Productivity?," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 237(2), pages 81-113, April.
    6. Shiwei Shen & Marios Sotiriadis & Qing Zhou, 2020. "Could Smart Tourists Be Sustainable and Responsible as Well? The Contribution of Social Networking Sites to Improving Their Sustainable and Responsible Behavior," Sustainability, MDPI, vol. 12(4), pages 1-21, February.
    7. Perez-Vega, Rodrigo & Hopkinson, Paul & Singhal, Aishwarya & Mariani, Marcello M., 2022. "From CRM to social CRM: A bibliometric review and research agenda for consumer research," Journal of Business Research, Elsevier, vol. 151(C), pages 1-16.
    8. Murad Ali & Raja Ahmad Iskandar Bin Raja Yaacob & Mohd Nuri-Al-Amin B. Endut, 2017. "The Influence of Individual Characteristics towards the Use of Social Media as a Learning Tool: An Empirical Analysis," International Review of Management and Marketing, Econjournals, vol. 7(1), pages 251-256.
    9. Tafesse, Wondwesen & Wood, Bronwyn P., 2021. "Followers' engagement with instagram influencers: The role of influencers’ content and engagement strategy," Journal of Retailing and Consumer Services, Elsevier, vol. 58(C).
    10. Reilly, Anne H. & Hynan, Katherine A., 2014. "Corporate communication, sustainability, and social media: It's not easy (really) being green," Business Horizons, Elsevier, vol. 57(6), pages 747-758.
    11. Tuleu Daniela, 2015. "Antecedents Of Customer Relationship Management Capabilities," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(1), pages 1285-1294, July.
    12. TANASE, George Cosmin, 2017. "Managing the Brand and Communication in Social Media," Romanian Distribution Committee Magazine, Romanian Distribution Committee, vol. 8(2), pages 20-22, June.
    13. Giannis Milolidakis & Demosthenes Akoumianakis & Chris Kimble, 2013. "Digital traces for business intelligence: A case study of mobile telecoms service brands in Greece," Post-Print halshs-00954440, HAL.
    14. Lashgari, Maryam, 2014. "Social Media Technology Deployment in B2B: A Case Study," INDEK Working Paper Series 2014/9, Royal Institute of Technology, Department of Industrial Economics and Management.
    15. Saridakis, George & Benson, Vladlena & Ezingeard, Jean-Noel & Tennakoon, Hemamali, 2016. "Individual information security, user behaviour and cyber victimisation: An empirical study of social networking users," Technological Forecasting and Social Change, Elsevier, vol. 102(C), pages 320-330.
    16. Wilert Puriwat & Suchart Tripopsakul, 2021. "Explaining Social Media Adoption for a Business Purpose: An Application of the UTAUT Model," Sustainability, MDPI, vol. 13(4), pages 1-13, February.
    17. Xu, Jia & Wei, Jiuchang & Zhao, Dingtao, 2016. "Influence of social media on operational efficiency of national scenic spots in china based on three-stage DEA model," International Journal of Information Management, Elsevier, vol. 36(3), pages 374-388.
    18. Lee, Jei Young, 2019. "A decentralized token economy: How blockchain and cryptocurrency can revolutionize business," Business Horizons, Elsevier, vol. 62(6), pages 773-784.
    19. Bastos, Wilson, 2020. "“Speaking of Purchases”: How Conversational Potential Determines Consumers' Willingness to Exert Effort for Experiential Versus Material Purchases," Journal of Interactive Marketing, Elsevier, vol. 50(C), pages 1-16.
    20. Wu He & Feng-Kwei Wang & Yong Chen & Shenghua Zha, 0. "An exploratory investigation of social media adoption by small businesses," Information Technology and Management, Springer, vol. 0, pages 1-12.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:scient:v:105:y:2015:i:2:d:10.1007_s11192-015-1723-2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.