, Volume 101, Issue 2, pp 985–997 | Cite as

Applying author co-citation analysis to user interaction analysis: a case study on instant messaging groups



Author co-citation analysis (ACA) was an important method for discovering the intellectual structure of a given scientific field. There was sufficient experience that ACA would work with almost any user data that lent itself to co-occurrence. While most of the current researches still relied on the data of scientific literatures. In this study, in order to provide useful information for better enterprise management, the idea and method of ACA was applied to analyze the information interaction intensity and contents of enterprise web users. Firstly, the development of ACA was briefly introduced. Then the sample data and method used in this study were given. Three QQ groups’ instant messages of a Chinese company were selected as the raw data and the concepts and model of user interaction intensity (UII) were proposed by referring the ACA theory. Social network analysis method, combined with in-deep interview method were used to analyze the information interaction intensity and contents of enterprise users. Operatively, Excel, Ucinet, Pajek, Netdraw and VOSviewer software were combined to analyze them quantitatively and visually. Finally, it concluded that UII model was relatively reasonable and it could nicely measure the information interaction intensity and contents of enterprise web users.


Webometrics Usage metrics Author co-citation analysis Instant messaging Social network analysis Information visualization Enterprise management 

JEL Classification


Mathematics Subject Classification




This paper is supported by Major Program of National Social Science Foundation in China (Grant No. 11&ZD152), Program of Social Science Foundation by Ministry of Education in China (Grant No. 13YJA870023) and High-level International Journal Program of Wuhan University (Grant No. 2012GSP062). This is an extended version of a paper presented at the 14th International Society of Scientometrics and Informetrics Conference, Vienna (Austria), 15–19 July 2013.


  1. Behrend, F. D., & Erwee, R. (2009). Mapping knowledge flows in virtual teams with SNA. Journal of Knowledge Management, 13(4), 99–114.Google Scholar
  2. Borgatti, S. P. (2004). NetDraw: Graph Visualization Software. Harvard, MA: Analytic Technologies.Google Scholar
  3. Boyack, K. W., Klavans, R., & Borner, K. (2005). Mapping the backbone of science. Scientometrics, 64(3), 351–374.CrossRefGoogle Scholar
  4. Chen, C. (1999). Visualising semantic spaces and author co-citation networks in digital libraries. Information Processing and Management, 35(3), 401–420.CrossRefGoogle Scholar
  5. Groh, G., & Fuchs, C. (2011). Multi-modal social networks for modeling scientific fields. Scientometrics, 89(2), 569–590.CrossRefGoogle Scholar
  6. Jevremov, T., Pajic, D., & Sipka, P. (2007). Structure of personality psychology based on cocitation analysis of prominent authors. Psihologija, 40(2), 329–343.CrossRefGoogle Scholar
  7. Kamada, T., & Kawai, S. (1989). An algorithm for drawing general undirected graphs. Information Processing Letters, 31(1), 7–15.MathSciNetCrossRefMATHGoogle Scholar
  8. Kilduff, M., & Tsai, W. (2003). Social networks and organizations. London: Sage.Google Scholar
  9. Klavans, R., & Boyack, K. W. (2006). Quantitative evaluation of large maps of science. Scientometrics, 68(3), 475–499.CrossRefGoogle Scholar
  10. Leydesdorff, L., & Rafols, I. (2009). A global map of science based on the ISI subject categories. Journal of the American Society for Information Science and Technology, 60(2), 348–362.CrossRefGoogle Scholar
  11. Leydesdorff, L., & Vaughan, L. (2006). Co-occurrence matrices and their applications in information science: Extending ACA to the Web environment. Journal of the American Society for Information Science and Technology, 57(12), 1616–1628.CrossRefGoogle Scholar
  12. Leydesdorff, L., Hammarfelt, B., & Salah, A. A. A. (2011). The structure of the Arts & Humanities Citation Index: A mapping on the basis of aggregated citations among 1,157 journals. Journal of the American Society for Information Science and Technology, 62(1), 2414–2426.CrossRefGoogle Scholar
  13. Leydesdorff, L., Kushnir, D., & Rafols, I. (2014). Interactive overlay maps for US patent (USPTO) data based on International Patent Classification (IPC). Scientometrics, 98(3), 1583–1599.Google Scholar
  14. Ma, R. M., Dai, Q. B., Ni, C. Q., & Li, X. L. (2009). An author co-citation analysis of information science in China with Chinese Google Scholar search engine, 2004–2006. Scientometrics, 81(1), 33–46.CrossRefGoogle Scholar
  15. McCain, K. W. (1990). Mapping authors in intellectual space: A technical overview. Journal of the American Society for Information Science, 41(6), 433–443.CrossRefGoogle Scholar
  16. Moya-Anegon, F., Vargas-Quesada, B., Chinchilla-Rodriguez, Z., Corera-Alvarez, E., Munoz-Fernandez, F. J., & Herrero-Solana, V. (2007). Visualizing the marrow of science. Journal of the American Society for Information Science and Technology, 58(14), 2167–2179.CrossRefGoogle Scholar
  17. Newman, M. E. J., & Girvan, M. (2004). Finding and evaluating community structure in networks. Physical Review E, 69(2), 026113.CrossRefGoogle Scholar
  18. Nooy, W., Mrvar, A., & Batagelj, V. (2011). Exploratory Social Network Analysis with Pajek: Revised and Expanded (2nd ed.). New York: Cambridge University Press.CrossRefGoogle Scholar
  19. Noyons, E. C. M., & Calero-Medina, C. (2009). Applying bibliometric mapping in a high level science policy context. Scientometrics, 79(2), 261–275.CrossRefGoogle Scholar
  20. Osareh, F., & McCain, K. W. (2008). The structure of Iranian chemistry research, 1990–2006: An author cocitation analysis. Journal of the American Society for Information Science and Technology, 59(13), 2146–2155.CrossRefGoogle Scholar
  21. Peters, H. P. F., & Van Raan, A. F. J. (1993). Co-word-based science maps of chemical engineering. Part II: Representations by combined clustering and multidimensional scaling. Research Policy, 22(1), 47–71.CrossRefGoogle Scholar
  22. Qiu, J. P., & Ma, R. M. (2009). The application of ACA method in web environment. Library and Information Service, 52(2), 85–87. (in Chinese).Google Scholar
  23. Schvaneveldt, R. W., Dearholt, D. W., & Durso, F. T. (1988). Graph theoretic foundations of pathfinder networks. Computers and Mathematics with Applications, 15(4), 337–345.MathSciNetCrossRefMATHGoogle Scholar
  24. Small, H., Sweeney, E., & Greenlee, E. (1985). Clustering the Science Citation Index using co-citations. II. Mapping science. Scientometrics, 8(5–6), 321–340.CrossRefGoogle Scholar
  25. Ucinet. (2004). Ucinet for Windows: Software for social network analysis. Harvard, MA: Analytic Technologies.Google Scholar
  26. VanEck, N. J., & Waltman, L. (2010). Softwares survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523–538.CrossRefGoogle Scholar
  27. Vaughan, L., & You, J. (2010). Word co-occurrences on Webpages as a measure of the relatedness of organizations: A new Webometrics concept. Journal of Informetrics, 4(4), 483–491.CrossRefGoogle Scholar
  28. Wallace, M. L., Gingras, Y., & Duhon, R. (2009). A new approach for detecting scientific specialties from raw cocitation networks. Journal of the American Society for Information Science and Technology, 60(2), 240–246.CrossRefGoogle Scholar
  29. Waltman, L., Van Eck, N. J., & Noyons, E. C. M. (2010). A unified approach to mapping and clustering of bibliometric networks. Journal of Informetrics, 4(4), 629–635.CrossRefGoogle Scholar
  30. Wang, Z. F. (2011). Use and management of internet communication tools in community constructions—take L community in Hangzhou for example. Unpublished master’s thesis, Zhejiang Gongshang University, Hangzhou, China. (in Chinese).Google Scholar
  31. Wang, X. W., Hu, Z. G., Ding, K., & Liu, Z. Y. (2011). Research on classification of singers in online music websites based on co-citation theory. Journal of the China Society for Scientific and Technical Information, 30(5), 471–478. (in Chinese).Google Scholar
  32. White, H. D. (2003). Pathfinder networks and author cocitation analysis: A remapping of paradigmatic information scientists. Journal of the American Society for Information Science and Technology, 54(5), 423–434.CrossRefGoogle Scholar
  33. White, H. D., & Griffith, B. (1981). Author cocitation: A literature measure of intellectual structures. Journal of the American Society for Information Science, 32(3), 163–171.CrossRefGoogle Scholar
  34. White, H. D., & McCain, K. (1998). Visualizing a discipline: An author cocitation analysis of information science, 1972–1995. Journal of the American Society for Information Science, 49(4), 327–355.Google Scholar
  35. Xu, L. M. (2011). Research on mechanism of enterprise internal knowledge sharing based on social network. Unpublished master’s thesis, Wuhan University, Wuhan, China. (in Chinese).Google Scholar
  36. Xu, Y. Y., & Zhu, Q. H. (2008). Demonstration study of social network analysis method in citation analysis. Information Studies: Theory & Application, 31(2), 184–188. (in Chinese).Google Scholar
  37. Zhang, L., Liu, X., Janssens, F., Liang, L., & Glanzel, W. (2010). Subject clustering analysis based on ISI category classification. Journal of Informetrics, 4(2), 185–193.CrossRefGoogle Scholar
  38. Zhao, D., & Strotmann, A. (2008). Information science during the first decade of the Web: An enriched author cocitation analysis. Journal of the American Society for Information Science and Technology, 59(6), 916–937.CrossRefGoogle Scholar
  39. Zuccala, A. (2006). Author cocitation analysis is to intellectual structure as web colink analysis is to… ? Journal of the American Society for Information Science and Technology, 57(11), 1487–1502.CrossRefGoogle Scholar

Copyright information

© Akadémiai Kiadó, Budapest, Hungary 2014

Authors and Affiliations

  1. 1.School of Information Management, Research Center for China Science Evaluation, The Center for the Studies of Information ResourcesWuhan UniversityWuhanChina

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