The knowledge base and research front of information science 2006-2010: An author cocitation and bibliographic coupling analysis
This study continues a long history of author cocitation analysis (and more recently, author bibliographic coupling analysis) of the intellectual structure of information science (IS) into the time period 2006 to 2010 (IS 2006–2010). We find that web technologies continue to drive developments, espe...
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Published in | Journal of the Association for Information Science and Technology Vol. 65; no. 5; pp. 995 - 1006 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Malden, MA
Blackwell Publishing Ltd
01.05.2014
Wiley |
Subjects | |
Online Access | Get full text |
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Abstract | This study continues a long history of author cocitation analysis (and more recently, author bibliographic coupling analysis) of the intellectual structure of information science (IS) into the time period 2006 to 2010 (IS 2006–2010). We find that web technologies continue to drive developments, especially at the research front, although perhaps more indirectly than before. A broadening of perspectives is visible in IS 2006–2010, where network science becomes influential and where full‐text analysis methods complement traditional computer science influences. Research in the areas of the h‐index and mapping of science appears to have been highlights of IS 2006–2011. This study tests and confirms a forecast made previously by comparing knowledge‐base and research‐front findings for IS 2001–2005, which expected both the information retrieval (IR) systems and webometrics specialties to shrink in 2006 to 2010. A corresponding comparison of the knowledge base and research front of IS 2006–2010 suggests a continuing decline of the IR systems specialty in the near future, but also a considerable (re)growth of the webometrics area after a period of decline from 2001 to 2005 and 2006 to 2010, with the latter due perhaps in part to its contribution to an emerging web science. |
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AbstractList | This study continues a long history of author cocitation analysis (and more recently, author bibliographic coupling analysis) of the intellectual structure of information science (IS) into the time period 2006 to 2010 (IS 2006–2010). We find that web technologies continue to drive developments, especially at the research front, although perhaps more indirectly than before. A broadening of perspectives is visible in IS 2006–2010, where network science becomes influential and where full‐text analysis methods complement traditional computer science influences. Research in the areas of the h‐index and mapping of science appears to have been highlights of IS 2006–2011. This study tests and confirms a forecast made previously by comparing knowledge‐base and research‐front findings for IS 2001–2005, which expected both the information retrieval (IR) systems and webometrics specialties to shrink in 2006 to 2010. A corresponding comparison of the knowledge base and research front of IS 2006–2010 suggests a continuing decline of the IR systems specialty in the near future, but also a considerable (re)growth of the webometrics area after a period of decline from 2001 to 2005 and 2006 to 2010, with the latter due perhaps in part to its contribution to an emerging web science. This study continues a long history of author cocitation analysis (and more recently, author bibliographic coupling analysis) of the intellectual structure of information science (IS) into the time period 2006 to 2010 (IS 2006-2010). We find that web technologies continue to drive developments, especially at the research front, although perhaps more indirectly than before. A broadening of perspectives is visible in IS 2006-2010, where network science becomes influential and where full-text analysis methods complement traditional computer science influences. Research in the areas of the h-index and mapping of science appears to have been highlights of IS 2006-2011. This study tests and confirms a forecast made previously by comparing knowledge-base and research-front findings for IS 2001-2005, which expected both the information retrieval (IR) systems and webometrics specialties to shrink in 2006 to 2010. A corresponding comparison of the knowledge base and research front of IS 2006-2010 suggests a continuing decline of the IR systems specialty in the near future, but also a considerable (re)growth of the webometrics area after a period of decline from 2001 to 2005 and 2006 to 2010, with the latter due perhaps in part to its contribution to an emerging web science. [Copyright Wiley Periodicals Inc.] This study continues a long history of author cocitation analysis (and more recently, author bibliographic coupling analysis) of the intellectual structure of information science ( IS ) into the time period 2006 to 2010 ( IS 2006–2010). We find that web technologies continue to drive developments, especially at the research front, although perhaps more indirectly than before. A broadening of perspectives is visible in IS 2006–2010, where network science becomes influential and where full‐text analysis methods complement traditional computer science influences. Research in the areas of the h‐index and mapping of science appears to have been highlights of IS 2006–2011. This study tests and confirms a forecast made previously by comparing knowledge‐base and research‐front findings for IS 2001–2005, which expected both the information retrieval ( IR ) systems and webometrics specialties to shrink in 2006 to 2010. A corresponding comparison of the knowledge base and research front of IS 2006–2010 suggests a continuing decline of the IR systems specialty in the near future, but also a considerable (re)growth of the webometrics area after a period of decline from 2001 to 2005 and 2006 to 2010, with the latter due perhaps in part to its contribution to an emerging web science. |
Author | Strotmann, Andreas Zhao, Dangzhi |
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References | Hirsch, J.E. (2005). An index to quantify an individual's scientific research output. Proceedings of the National Academy of Sciences, USA, 102, 16569-16572. Zhao, D., & Strotmann, A. (2011a). Counting first, last, or all authors in citation analysis: A comprehensive comparison in the highly collaborative stem cell research field. Journal of the American Society for Information Science and Technology, 62, 654-676. Zhao, D., & Strotmann, A. (2008b). 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, 2070-2086. Strotmann, A., & Zhao, D. (2012). Author name disambiguation: What difference does it make in author-based citation analysis? Journal of the American Society for Information Science and Technology, 63, 1820-1833. Hair, J.F., Anderson, R.E., Tatham, R.L., & Black, W.C. (1998). Multivariate data analysis (5th ed.). Upper Saddle River, NJ: Prentice Hall. Persson, O. (1994). The intellectual base and research fronts of JASIS 1986-1990. Journal of the American Society for Information Science, 45, 31-38. Zhao, D., & Strotmann, A. (2011b). Intellectual structure of stem cell research: A comprehensive author co-citation analysis of a highly collaborative and multidisciplinary field. Scientometrics, 87, 115-131. 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, 185-204. Milojević, 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, 1933-1953. Chen, C., Ibekwe-SanJuan, F., & Hou, J. (2010). The structure and dynamics of cocitation clusters: A multiple-perspective cocitation analysis. Journal of the American Society for Information Science and Technology, 61, 1386-1409. Zhao, D., & Strotmann, A. (2008a). Information science during the first decade of the web: An enriched author co-citation analysis. Journal of the American Society for Information Science and Technology, 59, 916-937. Zhao, D., & Strotmann, A. (2008c). Comparing all-author and first-author co-citation analyses of Information Science. Journal of Informetrics, 2, 229-239. 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, 327-355. Klavans, R., & Boyack, K.W. (2011). Using global mapping to create more accurate document-level maps of research fields. Journal of the American Society for Information Science and Technology, 62, 1-18. Yan, E., & Ding, Y. (2012). Scholarly network similarities: How bibliographic coupling networks, citation networks, cocitation networks, topical networks, coauthorship networks, and coword networks relate to each other. Journal of the American Society for Information Science and Technology, 63, 1313-1326. Bates, M.J. , & Maack, M.N. (Eds.). (2010). Encyclopedia of Library and Information Sciences (3rd ed.). New York, NY: CRC Press. Rousseau, R., Garcia-Zorita, C., & Sanz-Casado, E. (2013). The h-bubble. Journal of Informetrics, 7, 294-300. Cornelius, B., Landström, H., & Persson, O. (2006). Entrepreneurial studies: The dynamic research front of a developing social science. Entrepreneurship Theory and Practice, 30, 375-398. Larivière, V., Sugimoto, C.R., & Cronin, B. (2012). A bibliometric chronicling of library and information science's first hundred years. Journal of the American Society for Information Science and Technology, 63, 997-1016. McCain, K.W. (1990). Mapping authors in intellectual space: A technical overview. Journal of the American Society for Information Science, 41(6), 433-443. Lu, K., & Wolfram, D. (2012). Measuring author research relatedness: A comparison of word-based, topic-based, and author cocitation approaches. Journal of the American Society for Information Science and Technology, 63, 1973-1986. Finlay, C.S., Sugimoto, C.R., Li, D., & Russell, T.G. (2012). LIS dissertation titles and abstracts (1930-2009): Where have all the librar* gone? Library Quarterly, 82, 29-46. 1998; 49 2012; 82 1990; 41 2008c; 2 2006; 30 2008a; 59 1990 2010 2005; 102 2011b; 87 2011; 62 1998 1994; 45 2011a; 62 2008b; 59 2013; 7 2010; 61 2012; 63 Bates M.J. (e_1_2_9_2_1) 2010 e_1_2_9_20_1 Hair J.F. (e_1_2_9_6_1) 1998 e_1_2_9_11_1 e_1_2_9_22_1 e_1_2_9_10_1 White H.D. 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References_xml | – reference: Persson, O. (1994). The intellectual base and research fronts of JASIS 1986-1990. Journal of the American Society for Information Science, 45, 31-38. – reference: Finlay, C.S., Sugimoto, C.R., Li, D., & Russell, T.G. (2012). LIS dissertation titles and abstracts (1930-2009): Where have all the librar* gone? Library Quarterly, 82, 29-46. – reference: Zhao, D., & Strotmann, A. (2011b). Intellectual structure of stem cell research: A comprehensive author co-citation analysis of a highly collaborative and multidisciplinary field. Scientometrics, 87, 115-131. – reference: Hirsch, J.E. (2005). An index to quantify an individual's scientific research output. Proceedings of the National Academy of Sciences, USA, 102, 16569-16572. – reference: Cornelius, B., Landström, H., & Persson, O. (2006). Entrepreneurial studies: The dynamic research front of a developing social science. Entrepreneurship Theory and Practice, 30, 375-398. – reference: Milojević, 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, 1933-1953. – reference: Rousseau, R., Garcia-Zorita, C., & Sanz-Casado, E. (2013). The h-bubble. Journal of Informetrics, 7, 294-300. – reference: Zhao, D., & Strotmann, A. (2011a). Counting first, last, or all authors in citation analysis: A comprehensive comparison in the highly collaborative stem cell research field. Journal of the American Society for Information Science and Technology, 62, 654-676. – reference: Zhao, D., & Strotmann, A. (2008b). 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, 2070-2086. – reference: Bates, M.J. , & Maack, M.N. (Eds.). (2010). Encyclopedia of Library and Information Sciences (3rd ed.). New York, NY: CRC Press. – reference: Klavans, R., & Boyack, K.W. (2011). Using global mapping to create more accurate document-level maps of research fields. Journal of the American Society for Information Science and Technology, 62, 1-18. – reference: Lu, K., & Wolfram, D. (2012). Measuring author research relatedness: A comparison of word-based, topic-based, and author cocitation approaches. Journal of the American Society for Information Science and Technology, 63, 1973-1986. – reference: McCain, K.W. (1990). Mapping authors in intellectual space: A technical overview. Journal of the American Society for Information Science, 41(6), 433-443. – reference: Strotmann, A., & Zhao, D. (2012). Author name disambiguation: What difference does it make in author-based citation analysis? 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SubjectTerms | Bibliographic coupling Bibliographies Bibliometrics. Scientometrics Bibliometrics. Scientometrics. Evaluation Citation analysis co-citation analysis Cocitation Complement Exact sciences and technology Information and communication sciences Information retrieval Information science Information science. Documentation Joining Knowledge Knowledge bases (artificial intelligence) Library and information science. General aspects Networks Sciences and techniques of general use Subject fields |
Title | The knowledge base and research front of information science 2006-2010: An author cocitation and bibliographic coupling analysis |
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