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Scientometrics

, Volume 121, Issue 3, pp 1753–1791 | Cite as

Visual topical analysis of library and information science

  • Pin Li
  • Guoli Yang
  • Chuanqi WangEmail author
Article
  • 173 Downloads

Abstract

Using research papers of WoS database as the data source, the present paper adopts the method of Documents Co-citation Analysis, and employs the tool of CiteSpace to analyze the theme, evolution and research trend of Library and Information Science (LIS) research in the recent 30 years from 1989 to 2018. The findings demonstrate that (1) research on LIS develops along the path from the ordering of information to the digging and application of information value. And in this process, the factor of “people” and the network information resources have been receiving more and more attentions; (2) over the past 30 years, research on LIS has mainly focused on areas such as information retrieval, social media, information system, information behavior, bibliometrics and webometrics, scientific evaluation and knowledge management; and (3) in the future, LIS research will mainly focus on six theme areas: metrology research, open government, scientific evaluation, big data, social media and information system. These six areas are all significantly affected by social media.

Keywords

Library and Information Science Documents Co-citation Analysis Research evolution Research focus Research trend 

Notes

Acknowledgements

The work was supported in part by the Jiangsu Province Philosophy and Social Sciences Foundation under Grant 17TQB008, in part by the Jiangsu Province Philosophy and Social Sciences Research Foundation under Grant 2019SJA1741.

References

  1. Abebe, R., & Xiaojun, Y. (2012). Visualizing and mapping the intellectual structure of information retrieval. Information Processing & Management, 48(1), 120–135.Google Scholar
  2. Amir, M., Pillai, P., & Hu, Y. F. (2015). Aggregated sensor payload submission model for token based access control in the web of things. In 3rd International conference on Future Internet of Things and Cloud (FiCloud)/international conference on Open and Big Data (OBD), 2015.Google Scholar
  3. An, L., Yu, C., & Li, G. (2014). Visual topical analysis of chinese and american library and information science research institutions. Journal of Informetrics,8(1), 217–233.Google Scholar
  4. Åström, F. (2007). Changes in the LIS research front: Time-sliced cocitation analyses of LIS journal articles, 1990–2004. Journal of the American Society for Information Science and Technology,58(7), 47–957.Google Scholar
  5. Ball, P. (2005). Index aims for fair ranking of scientists. Nature,436(7053), 900.Google Scholar
  6. Bauer, J., Leydesdorff, L., & Bornmann, L. (2015). Highly cited papers in library and information science (LIS): Authors, institutions, and network structures. Journal of the Association for Information Science and Technology,67(12), 3095–3100.Google Scholar
  7. Blessinger, K., & Frasier, M. (2007). Analysis of a decade in library literature: 1994–2004. College and Research Libraries,68(2), 155–169.Google Scholar
  8. Blessinger, K., & Hrycaj, P. (2010). Highly cited articles in library and information science: An analysis of content and authorship trends. Library and Information Science Research,32, 156–162.Google Scholar
  9. Bonnevie-Nebelong, E., & Frandsen, T. F. (2006). Journal citation identity and journal citation image: A portrait of the journal of documentation. Journal of Documentation,62(1), 30–57.Google Scholar
  10. Boyack, K. W., & Börner, K. (2003). Indicator-assisted evaluation and funding of research: Visualizing the influence of grants on the number and citation counts of research papers. Journal of the American Society for Information Science and Technology,54(5), 447–461.Google Scholar
  11. Boyack, K. W., Klavans, R., & Borner, K. (2005). Mapping the backbone of science. Scientometrics,64(3), 351–374.Google Scholar
  12. Brancheau, J. C., Janz, B. D., & Wetherbe, J. C. (1996). Key issues in information systems management: 1994–95 SIM Delphi results. MIS Quarterly,20(2), 225.Google Scholar
  13. Bulgurcu, B., Cavusoglu, H., & Benbasat, I. (2010). Information security policy compliance: An empirical study of rationality-based beliefs and information security awareness. MIS Quaterly,34(3), 523–548.Google Scholar
  14. Buttlar, L. (1999). Information sources in library and information science doctoral research. Library and Information Science Research,21(2), 227–245.Google Scholar
  15. Cano, V. (1999). Bibliometric overview of library and information science research in Spain. Journal of the American Society for Information Science,50(8), 675–680.Google Scholar
  16. Cass, K., Heintz, T. J., & Kaiser, K. M. (1992). An investigation of satisfaction when using a voice-synchronous GDSS in dispersed meetings. Information and Management,23(4), 173–182.Google Scholar
  17. Chang, H. W. (2004). An analysis of the research areas of articles published in university library journal and college and research libraries between 1998 and 2002. University Library Journal,8(3), 76–83.Google Scholar
  18. Chang, Y. W., & Huang, M. H. (2012). A study of the evolution of interdisciplinarity in library and information science: Using three bibliometric methods. Journal of the American Society for Information Science and Technology,63, 22–33.Google Scholar
  19. Chang, Y., Huang, M., & Lin, C. (2015). Evolution of research subjects in library and information science based on keyword, bibliographical coupling, and co-citation analyses. Scientometrics,105(3), 2071–2087.Google Scholar
  20. Chen, C. (2004). Searching for intellectual turning points: Progressive knowledge domain visualization. Proceedings of the National Academy of Sciences of the United States of America,101(suppl), 5303–5310.Google Scholar
  21. Chen, C. (2006). CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature. Journal of the American Society for Information Science and Technology,57(3), 359–377.Google Scholar
  22. Chen, C. (2013). Mapping science frontiers (pp. 301–302). London: Springer.Google Scholar
  23. Chen, C. (2017a). Science mapping: A systematic review of the literature. Journal of Data and Information Science,2(2), 1–40.Google Scholar
  24. Chen, C. (2017b). Eugene Garfield’s scholarly impact: A scientometric review. arXiv:1710.01895v1.
  25. Chen, C., Chen, Y., Horowitz, M., Hou, H., Liu, Z., & Pellegrino, D. (2009). Towards an explanatory and computational theory of scientific discovery. Journal of Informetrics,3(3), 191–209.Google Scholar
  26. Chen, C., Ibekwe-SanJuan, F., & Hou, J. (2010). The structure and dynamics of cocitation clusters: A multiple-perspective cocitation analysis. Journal of the American of the Society for Information Science and Technology,61(7), 1386–1409.Google Scholar
  27. Chen, K. H., & Liang, C. F. (2004). Disciplinary interflow of library and information science in Taiwan. Journal of Library and Information Studies,2(2), 31–55.Google Scholar
  28. Chen, C., & Morris, S. (2003). Visualizing evolving networks: Minimum spanning trees versus pathfinder networks. In Proceedings of IEEE symposium on information visualization (pp. 67–74). Seattle, WA: IEEE Computer Society Press.Google Scholar
  29. Chua, A. Y., & Yang, C. C. (2008). The shift towards multi-disciplinarity in information science. Journal of the American Society for Information Science and Technology,59, 2156–2170.Google Scholar
  30. Cooper, R. B., & Zmud, R. W. (1990). Information technology implementation research: A technological diffusion approach. Management Science,36(2), 123–139.Google Scholar
  31. Cronin, B., Snyder, H. W., Rosenbaum, H., Martinson, A., & Callahan, E. (1998). Invoked on the web. Journal of the American Society for Information Science,49(14), 1319–1328.Google Scholar
  32. Daft, R. L., & Lengel, R. H. (1986). Organizational information requirements, media richness and structural design. Management Science,32(5), 554–571.Google Scholar
  33. Davidson, G. S., Hendrickson, B., Johnson, D. K., Meyers, C. E., & Wylie, B. N. (1998). Knowledge mining with VxInsight: Discovery through interaction. Journal of Intelligent Information System,11(3), 259–285.Google Scholar
  34. Dervin, B., & Nilan, M. (1986). Information needs and uses. Annual Review of Information Science and Technology,21, 3–33.Google Scholar
  35. Desanctis, G., & Poole, M. S. (1994). Capturing the complexity in advanced technology use: Adaptive structuration theory. Organization Science,5(2), 121–147.Google Scholar
  36. Ding, Y., Chowdhury, G. G., & Foo, S. (2000). Journals as markers of intellectual space. Journal co-citation analysis of information retrieval area, 1987–1997. Scientometrics,47(1), 55–73.Google Scholar
  37. Doll, W. J., & Torkzadeh, D. G. (1988). The measurement of end-user computing satisfaction. MIS Quarterly,12(2), 259–274.Google Scholar
  38. De Moya Anegón, F., Jiménez Contreras, E., & De La Moneda Corrochano, M. (1998). Research fronts in library and information science in Spain (1985–1994). Scientometrics,42(2), 229–246.Google Scholar
  39. Dunne, C., Shneiderman, B., Dorr, B. & Klavans, J. (2010). iOpener Workbench: Tools for rapid understanding of scientific literature. In Proceedings of 27th annual human–computer interaction lab symposium, College Park, MD. May 2010.Google Scholar
  40. Dunne, C., Shneiderman, B., Gove, R., Klavans, J., & Dorr, B. (2012). Rapid understanding of scientific paper collections: Integrating statistics, text analytics, and visualization. Journal of the American Society for Information Science and Technology,63(12), 2351–2369.Google Scholar
  41. Egghe, L. (2006). Theory and practise of theg-index. Scientometrics,69(1), 131–152.MathSciNetGoogle Scholar
  42. Figuerola, C. G., Marco, F. J. G., & Pinto, M. (2017). Mapping the evolution of library and information science (1978–2014) using topic modeling on LISA. Scientometrics,112, 1507–1535.Google Scholar
  43. Franklin, R. E., & Jaeger, P. T. (2007). A decade of doctorates: An examination of dissertations written by African American women in library and information studies, 1993–2003. Journal of Education for Library and Information Science,48(3), 187–201.Google Scholar
  44. Garfield, E. (1960). The steroid literature coding project. Chemical Literature,12(3), 7.Google Scholar
  45. George, J. F., Nunamaker, J. F., & Valacich, J. S. (1992). Electronic meeting systems as innovation: A study of the innovation process. Information and Management,22(3), 187–195.Google Scholar
  46. Gonzalez-Pereira, B., Guerrero-Bote, V. P., & Moya-Anegon, F. (2010). A new approach to the metric of journals’ scientific prestige: The SJR indicator. Journal of Infrometrics,4(3), 379–391.Google Scholar
  47. Goodhue, D. L. (1995). Understanding user evaluations of information systems. Management Science,41(12), 1827–1844.Google Scholar
  48. Günther, W. A., Rezazade Mehrizi, M. H., Huysman, M., & Feldberg, F. (2017). Debating big data: a literature review on realizing value from big data. The Journal of Strategic Information Systems, 26(3), 191–209.Google Scholar
  49. Guo, K. H., Yuan, Y., Archer, N. P., & Connelly, C. E. (2011). Understanding nonmalicious security violations in the workplace: A composite behavior model. Journal of Management Information Systems,28(2), 203–236.Google Scholar
  50. Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate data analysis (Vol. 6). London: Pearson.Google Scholar
  51. Hair, J., Sarstedt, M., Ringle, C., & Mena, J. (2011). An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the Academy of Marketing Science,40(3), 414–433.Google Scholar
  52. Harter, S. P. (1992). Psychological relevance and information-science. Journal of the American Society for Information Science, 43(9), 602–615.Google Scholar
  53. Herman, I., Melançon, G., & Marshall, M. S. (2000). Graph visualization and navigation in information visualization: A survey. IEEE Transactions on Visualization and Computer Graphics,6(1), 24–44.Google Scholar
  54. Herther, N. K. (2009). Research evaluation and citation analysis: Key issues and implications. The Electronic Library,27(3), 361–375.Google Scholar
  55. Hicks, D., Wouters, P., Waltman, L., de Rijcke, S., & Rafols, I. (2015). Bibliometrics: The Leiden Manifesto for research metrics. Nature,520(7548), 429–431.Google Scholar
  56. Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Science of the United States of America,102(46), 16569–16572.zbMATHGoogle Scholar
  57. Hjorland, B. (1997). Information seeking and subject representation: An activity-theoretical approach to information science. Westport: Greenwood Press.Google Scholar
  58. Holmberg, K., & Thelwall, M. (2014). Disciplinary differences in Twitter scholarly communication. Scientometrics,101(2), 1027–1042.Google Scholar
  59. Hou, J., & Yang, X. (2019). From the United States to China: The transfer of research centres in Information Science. Current Science,116(3), 422–437.Google Scholar
  60. Hou, J., Yang, X., & Chen, C. (2018). Emerging trends and new developments in information science: A document co-citation analysis (2009–2016). Scientometrics,115(2), 869–892.Google Scholar
  61. Ingwersen, P., & Wormell, I. (1992). Ranganathan in the perspective of advanced information-retriveval. LIBRI,42(3), 184–201.Google Scholar
  62. Jabeen, M., Yun, L., Rafiq, M., Jabeen, M., & Tahir, M. A. (2015). Scientometric analysis of library and information science journals 2003–2012 using Web of Science. The International Information and Library Review,47(3–4), 71–82.Google Scholar
  63. Jansen, B. J., Liu, Z., Weaver, C., Campbell, G., & Gregg, M. (2011). Real time search on the web: Queries, topics, and economic value. Information Processing and Management,47(7), 491–506.Google Scholar
  64. Janssens, F., Leta, J., Glänzel, W., & De Moor, B. (2006). Towards mapping library and information science. Information Processing and Management,42(6), 1614–1642.Google Scholar
  65. Järvelin, K., & Vakkari, P. (1993). The evolution of library and information science 1965–1985: A content analysis of journal articles. Information Processing and Management,29(1), 129–144.Google Scholar
  66. Jasperson, J. S., Carter, P. E., & Zmud, R. W. (2005). A comprehensive conceptualization of post-adoptive behaviors associated with information technology enabled work systems. MIS Quarterly,29(3), 525–557.Google Scholar
  67. Jeong, Y. K., Song, M., & Ding, Y. (2014). Content-based author co-citation analysis. Journal of Informetrics,8(1), 97–211.Google Scholar
  68. Johnson, B. (1991). Tree-maps: A space filling approach to the visualization of hierarchical information space. In IEEE Visualization’91.Google Scholar
  69. Julien, H., Pecoskie, J. J., & Reed, K. (2011). Trends in information behavior research, 1999–2008: A content analysis. Library and Information Science Research,33(1), 19–24.Google Scholar
  70. Kajberg, L. (1996). A content analysis of library and information science serial literature published in Denmark, 1957–1986. Library and Information Science Research,18(1), 25–52.Google Scholar
  71. Keen, P. (1993). Information technology and the management difference: A fusion map. IBM Systems,32(11), 17–39.Google Scholar
  72. Kessler, M. (1963). Bibliographic coupling between scientific papers. Journal of American Documentation,14(1), 10–25.Google Scholar
  73. Khoo, C. S. G. (2011). Towards an Asia vision of library and information research. Journal of Library and Information Studies,37(2), 4–19.Google Scholar
  74. Kim, M. C., & Chen, C. M. (2015). A scientometric review of emerging trends and new developments in recommendation systems. Scientometrics,104(1), 239–263.Google Scholar
  75. Klavans, R., & Boyack, K. W. (2011). Using global mapping to create more accurate document-level maps of research fields. Journal of the American of the Society for Information Science and Technology,62(1), 1–18.Google Scholar
  76. Koufogiannakis, D., Slater, L., & Crumley, E. (2004). A content analysis of librarianship research. Journal of Information Science,30(3), 227–239.Google Scholar
  77. Kuhlthau, C. C. (1996). The concept of a zone of intervention for identifying the role of intermediaries in the information search process. Journal of Muscle Research and Cell Motility,33(7), 91–94.Google Scholar
  78. Lawrence, S., Pennock, D. M., Flake, G. W., Krovetz, R., & Giles, C. L. (2001). Persistence of web references in scientific research. Computer,34(2), 26–31.Google Scholar
  79. Li, J., Sanderson, M., Willett, P., Norris, M., & Oppenheim, C. (2010). Ranking of library and information science researchers: Comparison of data sources for correlating citation data, and expert judgments. Journal of Informetrics,4(4), 554–563.Google Scholar
  80. Li, X., Thelwall, M., & Giustini, D. (2011). Validating online reference managers for scholarly impact measurement. Scientometrics,91(2), 461–471.Google Scholar
  81. Li, X., Thelwall, M., & Giustini, D. (2012). Validating online reference managers for scholarly impact measurement. Scientometrics,91(2), 461–471.Google Scholar
  82. Liang, S. Y., Li, S. Q., & Wang, W. G. (2007). One database security monitoring system. In 7th International symposium on test measurement, 2007.Google Scholar
  83. Luhn, H. P. (1957). A statistical approach to mechanized and searching of literary information. IBM Journal of Research and Development,1, 309–317.MathSciNetGoogle Scholar
  84. Manning, C. D., Raghavan, P., & Schutze, H. (2008). Introduction to information retrieval. London: Cambridge University Press.zbMATHGoogle Scholar
  85. Meho, L. I., & Spurgin, K. M. (2005). Ranking the research productivity of library and information science faculty and schools: An evaluation of data sources and research methods. Journal of the American Society for Information Science and Technology,56(12), 1314–1331.Google Scholar
  86. Michaelidou, N., Re, N., Park, C., Jun, J., & Lee, T. (2015). Consumer characteristics and the use of social networking sites. International Marketing Review,32(3), 414–437.Google Scholar
  87. Milojevic, S., Sugimoto, C. R., Yan, E., & Ding, Y. (2011). The cognitive structure of library and information science: Analysis of article title words. Journal of the American Society for Information Science and Technology,62(10), 1933–1953.Google Scholar
  88. Mizzaro, S. (1998). How many relevances in information retrieval? Interacting with Computers,10(3), 303–320.Google Scholar
  89. Moed, H. F. (2005). Citation analysis in research evaluation. Information Science and Knowledge Management,57(1), 13–18.Google Scholar
  90. Mohammadi, E., & Thelwall, M. (2014). Mendeley readership altmetrics for the social sciences and humanities: Research evaluation and knowledge flows. Journal of the Association for Information Science & Technology,65(8), 1627–1638.Google Scholar
  91. Mooers, C. N. (1950). Information retrieval viewed as temporal signalling. Proceedings of the International Congress of Mathematicians,1, 572–573.Google Scholar
  92. Morris, S. A., Yen, G., Wu, Z., & Asnake, B. (2003). Timeline visualization of research fronts. Journal of the American Society for Information Science and Technology,55(5), 413–422.Google Scholar
  93. Nadine, G., Benedikt, L., & Breitner, M. H. (2019). The impact of leadership on employees’ intended information security behaviour: An examination of the full-range leadership theory. Information Systems Journal,29(2), 340–362.Google Scholar
  94. Newman, M. E. J. (2006). The structure and function of complex networks. SIAM Review,45, 167–256.MathSciNetzbMATHGoogle Scholar
  95. Niederman, F., Brancheau, J. C., & Wetherbe, J. C. (1991). Information systems management issues for the 1990s. MIS Quarterly,15(4), 475–500.Google Scholar
  96. Nisar, T., & Yeung, M. (2018). Attribution modeling in digital advertising: An empirical investigation of the impact of digital sales channels. Journal of Advertising Research,58(4), 399–413.Google Scholar
  97. Onodera, N., & Yoshikane, F. (2015). Factors affecting citation rates of research articles. Journal of the American Society for Information Science and Technology,66(4), 739–764.Google Scholar
  98. Onyancha, O. B. (2018). Forty-five years of LIS research evolution, 1971–2015: An informetrics study of the author-supplied keywords. Publishing Research Quarterly,34, 456–470.Google Scholar
  99. Persson, O. (1994). The intellectual base and research fronts of JASIS 1986–1990. Journal of the American Society for Information Science and Technology,45(1), 31–38.Google Scholar
  100. Porter, A., & Rafols, I. (2009). Is science becoming more interdisciplinary? Measuring and mapping six research fields over time. Scientometrics,81(3), 719–745.Google Scholar
  101. Posey, C. (2015). The impact of organizational commitment on insiders’ motivation to protect organizational information assets. Journal of Management Information Systems,32, 36.Google Scholar
  102. Rafols, I., & Meyer, M. (2010). Diversity and network coherence as indicators of interdisciplinarity: Case studies in bionanoscience. Scientometrics,82(2), 263–287.Google Scholar
  103. Rogers, E. M. (2003). Diffusion of innovation (5th ed.). New York: Free Press.Google Scholar
  104. Rousseau, R. (2012). Basic properties of both percentile rank scores and the I3 indicator. Journal of the American Society for Information Science and Technology,63(2), 416–420.Google Scholar
  105. Rousseeuw, P. J. (1987). Silhouettes: A graphical aid to the interpretation and validation of cluster analysis. Journal of Computational and Applied Mathematics,20, 53–65.zbMATHGoogle Scholar
  106. Saracevic, T. (1997). The stratified model of information retrieval interaction: Extension and applications. Proceedings of the American Society for Information Science,34, 313–327.Google Scholar
  107. Schamber, L., Eisenberg, M. B., & Nilan, M. S. (1990). A reexamination of relevance-toward a dynamic, situational definition. Information Processing and Management,26(6), 755–776.Google Scholar
  108. Shibata, N., Kajikawa, Y., Takeda, Y., & Matsushima, K. (2008). Detecting emerging research fronts based on topological measures in citation networks of scientific publications. Technovation,28(11), 758–775.Google Scholar
  109. Siponen, M., & Vance, A. (2010). Neutralization: New insights into the problem of employee information systems security policy violations. MIS Quarterly,34(3), 487–502.Google Scholar
  110. Small, H. (1973). Co-citation in the scientific literature: A new measure of the relationship between two documents. Journal of the American Society for Information Science,24(4), 265–269.MathSciNetGoogle Scholar
  111. Small, H. (1999). Visualizing science by citation mapping. Journal of the American Society for Information Science,50(9), 799–813.Google Scholar
  112. Small, H. G., & Griffith, B. C. (1974). The structure of scientific literatures I: Identifying and graphing specialties. Science Studies,4, 17–40.Google Scholar
  113. Stieglitz, S., Dangxuan, L., Bruns, A., & Neuberger, C. (2014). Social media analytics: An interdisciplinary approach and its implications for information systems. Business and Information Systems Engineering,6(2), 89–96.Google Scholar
  114. Sud, P., & Thelwall, M. (2014). Evaluating altmetrics. Scientometrics,98(2), 1131–1143.Google Scholar
  115. Sugimoto, C. R., Li, D., Russell, T. G., Finlay, S. C., & Ding, Y. (2011). The shifting sands of disciplinary development: Analyzing North American library and information science dissertations using latent Dirichlet allocation. Journal of the American Society for Information Science and Technology,62(1), 185–204.Google Scholar
  116. Sugimoto, C. R., & McCain, K. W. (2010). Visualizing changes over time: A history of information retrieval through the lens of descriptor tri-occurrence mapping. Journal of Information Science,36(4), 481–493.Google Scholar
  117. Thelwall, M. (2001). Results from a web impact factor crawler. Journal of Document, 57(2), 177–191.Google Scholar
  118. Thomson Reuters. (2019). ISI web of knowledge. Retrieved from https://clarivate.com/webofsciencegroup/solutions/web-of-science/.
  119. Transinsight. (2019). GoPubMed. Retrieved from https://www.bionity.com/en/encyclopedia/GoPubMed.html.
  120. Tsay, M. (2011). A bibliometric analysis and comparison on three information science journals: JASIST, IPM, JOD, 1998–2008. Scientometrics,89(2), 591–606.Google Scholar
  121. Tsay, M. Y., & Hsu, Y. T. (2009). An analysis of subjects and citations in core journals of library and information science in Taiwan and China from 1997 to 2006. Journal of Librarianship and Information Studies,1(3), 17–37.Google Scholar
  122. Uzun, A. (2002). Library and information science research in developing countries and Eastern European countries: A brief bibliometric perspective. The International Information and Library Review,34(1), 21–33.Google Scholar
  123. Wang, S., & Noe, R. A. (2010). Knowledge sharing: A review and directions for future research. Human Resource Management Review,20(2), 115–131.Google Scholar
  124. 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,4(5), 423–434.Google Scholar
  125. White, H. D., & Griffith, B. C. (1981). Author cocitation: A literature measure of intellectual structure. Journal of the American Society for Information Science,32(3), 163–171.Google Scholar
  126. White, H. D., & McCain, K. W. (1998). Visualizing a discipline: An author co-citation analysis of information science, 1972–1995. Journal of the American Society for Information Science,49(4), 327–355.Google Scholar
  127. Whiting, A., & Williams, D. L. (2013). Why people use social media: A uses and gratifications approach. Qualitative Market Research,16(4), 362–369.Google Scholar
  128. Willison, R., & Warkentin, M. (2013). Beyond deterrence: An expanded view of employee computer abuse. MIS Quarterly,37(1), 1–20.Google Scholar
  129. Yang, S., Han, R., Wolfram, D., et al. (2016). Visualizing the intellectual structure of information science (2006–2015): Introducing author keyword coupling analysis. Journal of Informetrics,10(1), 132–150.Google Scholar
  130. Yang, S., & Wang, F. (2015). Visualizing information science: Author direct citation analysis in china and around the world. Journal of Informetrics,9(1), 208–225.Google Scholar
  131. Zhao, D., & Strotmann, A. (2008a). 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.Google Scholar
  132. Zhao, D., & Strotmann, A. (2008b). Comparing all-author and first-author co-citation analyses of information science. Journal of Informetrics,2(3), 229–239.Google Scholar
  133. Zhao, D., & Strotmann, A. (2008c). Evolution of research activities and intellectual influences in information science 1996–2005: Introducing author bibliographic-coupling analysis. Journal of the American Society for Information Science and Technology,59(13), 2070–2086.Google Scholar
  134. Zhao, D., & Strotmann, A. (2014). The knowledge base and research front of information science 2006–2010: An author cocitation and bibliographic coupling analysis. Journal of the American Society for Information Science and Technology,65(5), 995–1006.Google Scholar

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© Akadémiai Kiadó, Budapest, Hungary 2019

Authors and Affiliations

  1. 1.School of Information ManagementNanjing UniversityNanjingChina
  2. 2.Yancheng Teachers UniversityYanchengChina

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