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.
Similar content being viewed by others
References
Abebe, R., & Xiaojun, Y. (2012). Visualizing and mapping the intellectual structure of information retrieval. Information Processing & Management, 48(1), 120–135.
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.
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.
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.
Ball, P. (2005). Index aims for fair ranking of scientists. Nature,436(7053), 900.
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.
Blessinger, K., & Frasier, M. (2007). Analysis of a decade in library literature: 1994–2004. College and Research Libraries,68(2), 155–169.
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.
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.
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.
Boyack, K. W., Klavans, R., & Borner, K. (2005). Mapping the backbone of science. Scientometrics,64(3), 351–374.
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.
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.
Buttlar, L. (1999). Information sources in library and information science doctoral research. Library and Information Science Research,21(2), 227–245.
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.
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.
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.
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.
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.
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.
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.
Chen, C. (2013). Mapping science frontiers (pp. 301–302). London: Springer.
Chen, C. (2017a). Science mapping: A systematic review of the literature. Journal of Data and Information Science,2(2), 1–40.
Chen, C. (2017b). Eugene Garfield’s scholarly impact: A scientometric review. arXiv:1710.01895v1.
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.
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.
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.
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.
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.
Cooper, R. B., & Zmud, R. W. (1990). Information technology implementation research: A technological diffusion approach. Management Science,36(2), 123–139.
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.
Daft, R. L., & Lengel, R. H. (1986). Organizational information requirements, media richness and structural design. Management Science,32(5), 554–571.
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.
Dervin, B., & Nilan, M. (1986). Information needs and uses. Annual Review of Information Science and Technology,21, 3–33.
Desanctis, G., & Poole, M. S. (1994). Capturing the complexity in advanced technology use: Adaptive structuration theory. Organization Science,5(2), 121–147.
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.
Doll, W. J., & Torkzadeh, D. G. (1988). The measurement of end-user computing satisfaction. MIS Quarterly,12(2), 259–274.
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.
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.
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.
Egghe, L. (2006). Theory and practise of theg-index. Scientometrics,69(1), 131–152.
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.
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.
Garfield, E. (1960). The steroid literature coding project. Chemical Literature,12(3), 7.
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.
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.
Goodhue, D. L. (1995). Understanding user evaluations of information systems. Management Science,41(12), 1827–1844.
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.
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.
Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate data analysis (Vol. 6). London: Pearson.
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.
Harter, S. P. (1992). Psychological relevance and information-science. Journal of the American Society for Information Science, 43(9), 602–615.
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.
Herther, N. K. (2009). Research evaluation and citation analysis: Key issues and implications. The Electronic Library,27(3), 361–375.
Hicks, D., Wouters, P., Waltman, L., de Rijcke, S., & Rafols, I. (2015). Bibliometrics: The Leiden Manifesto for research metrics. Nature,520(7548), 429–431.
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.
Hjorland, B. (1997). Information seeking and subject representation: An activity-theoretical approach to information science. Westport: Greenwood Press.
Holmberg, K., & Thelwall, M. (2014). Disciplinary differences in Twitter scholarly communication. Scientometrics,101(2), 1027–1042.
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.
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.
Ingwersen, P., & Wormell, I. (1992). Ranganathan in the perspective of advanced information-retriveval. LIBRI,42(3), 184–201.
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.
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.
Janssens, F., Leta, J., Glänzel, W., & De Moor, B. (2006). Towards mapping library and information science. Information Processing and Management,42(6), 1614–1642.
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.
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.
Jeong, Y. K., Song, M., & Ding, Y. (2014). Content-based author co-citation analysis. Journal of Informetrics,8(1), 97–211.
Johnson, B. (1991). Tree-maps: A space filling approach to the visualization of hierarchical information space. In IEEE Visualization’91.
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.
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.
Keen, P. (1993). Information technology and the management difference: A fusion map. IBM Systems,32(11), 17–39.
Kessler, M. (1963). Bibliographic coupling between scientific papers. Journal of American Documentation,14(1), 10–25.
Khoo, C. S. G. (2011). Towards an Asia vision of library and information research. Journal of Library and Information Studies,37(2), 4–19.
Kim, M. C., & Chen, C. M. (2015). A scientometric review of emerging trends and new developments in recommendation systems. Scientometrics,104(1), 239–263.
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.
Koufogiannakis, D., Slater, L., & Crumley, E. (2004). A content analysis of librarianship research. Journal of Information Science,30(3), 227–239.
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.
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.
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.
Li, X., Thelwall, M., & Giustini, D. (2011). Validating online reference managers for scholarly impact measurement. Scientometrics,91(2), 461–471.
Li, X., Thelwall, M., & Giustini, D. (2012). Validating online reference managers for scholarly impact measurement. Scientometrics,91(2), 461–471.
Liang, S. Y., Li, S. Q., & Wang, W. G. (2007). One database security monitoring system. In 7th International symposium on test measurement, 2007.
Luhn, H. P. (1957). A statistical approach to mechanized and searching of literary information. IBM Journal of Research and Development,1, 309–317.
Manning, C. D., Raghavan, P., & Schutze, H. (2008). Introduction to information retrieval. London: Cambridge University Press.
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.
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.
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.
Mizzaro, S. (1998). How many relevances in information retrieval? Interacting with Computers,10(3), 303–320.
Moed, H. F. (2005). Citation analysis in research evaluation. Information Science and Knowledge Management,57(1), 13–18.
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.
Mooers, C. N. (1950). Information retrieval viewed as temporal signalling. Proceedings of the International Congress of Mathematicians,1, 572–573.
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.
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.
Newman, M. E. J. (2006). The structure and function of complex networks. SIAM Review,45, 167–256.
Niederman, F., Brancheau, J. C., & Wetherbe, J. C. (1991). Information systems management issues for the 1990s. MIS Quarterly,15(4), 475–500.
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.
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.
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.
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.
Porter, A., & Rafols, I. (2009). Is science becoming more interdisciplinary? Measuring and mapping six research fields over time. Scientometrics,81(3), 719–745.
Posey, C. (2015). The impact of organizational commitment on insiders’ motivation to protect organizational information assets. Journal of Management Information Systems,32, 36.
Rafols, I., & Meyer, M. (2010). Diversity and network coherence as indicators of interdisciplinarity: Case studies in bionanoscience. Scientometrics,82(2), 263–287.
Rogers, E. M. (2003). Diffusion of innovation (5th ed.). New York: Free Press.
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.
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.
Saracevic, T. (1997). The stratified model of information retrieval interaction: Extension and applications. Proceedings of the American Society for Information Science,34, 313–327.
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.
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.
Siponen, M., & Vance, A. (2010). Neutralization: New insights into the problem of employee information systems security policy violations. MIS Quarterly,34(3), 487–502.
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.
Small, H. (1999). Visualizing science by citation mapping. Journal of the American Society for Information Science,50(9), 799–813.
Small, H. G., & Griffith, B. C. (1974). The structure of scientific literatures I: Identifying and graphing specialties. Science Studies,4, 17–40.
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.
Sud, P., & Thelwall, M. (2014). Evaluating altmetrics. Scientometrics,98(2), 1131–1143.
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.
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.
Thelwall, M. (2001). Results from a web impact factor crawler. Journal of Document, 57(2), 177–191.
Thomson Reuters. (2019). ISI web of knowledge. Retrieved from https://clarivate.com/webofsciencegroup/solutions/web-of-science/.
Transinsight. (2019). GoPubMed. Retrieved from https://www.bionity.com/en/encyclopedia/GoPubMed.html.
Tsay, M. (2011). A bibliometric analysis and comparison on three information science journals: JASIST, IPM, JOD, 1998–2008. Scientometrics,89(2), 591–606.
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.
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.
Wang, S., & Noe, R. A. (2010). Knowledge sharing: A review and directions for future research. Human Resource Management Review,20(2), 115–131.
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.
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.
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.
Whiting, A., & Williams, D. L. (2013). Why people use social media: A uses and gratifications approach. Qualitative Market Research,16(4), 362–369.
Willison, R., & Warkentin, M. (2013). Beyond deterrence: An expanded view of employee computer abuse. MIS Quarterly,37(1), 1–20.
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.
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.
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.
Zhao, D., & Strotmann, A. (2008b). Comparing all-author and first-author co-citation analyses of information science. Journal of Informetrics,2(3), 229–239.
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.
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.
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.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Li, P., Yang, G. & Wang, C. Visual topical analysis of library and information science. Scientometrics 121, 1753–1791 (2019). https://doi.org/10.1007/s11192-019-03239-0
Received:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11192-019-03239-0