Survival analysis of author keywords: An application to the library and information sciences area

Our purpose is to adapt a statistical method for the analysis of discrete numerical series to the keywords appearing in scientific articles of a given area. As an example, we apply our methodological approach to the study of the keywords in the Library and Information Sciences (LIS) area. Our objective is to detect the new author keywords that appear in a fixed knowledge area in the period of 1 year in order to quantify the probabilities of survival for 10 years as a function of the impact of the journals where they appeared. Many of the new keywords appearing in the LIS field are ephemeral. Actually, more than half are never used again. In general, the terms most commonly used in the LIS area come from other areas. The average survival time of these keywords is approximately 3 years, being slightly higher in the case of words that were published in journals classified in the second quartile of the area. We believe that measuring the appearance and disappearance of terms will allow understanding some relevant aspects of the evolution of a discipline, providing in this way a new bibliometric approach.

[1]  P. Vakkari.  Library and Information Science: Its Content and Scope , 1994 .

[2]  Feng Xia,et al.  Two decades of information systems: a bibliometric review , 2018, Scientometrics.

[3]  Tahereh Dehdarirad,et al.  Research trends in gender differences in higher education and science: a co-word analysis , 2014, Scientometrics.

[4]  Fefie Dotsika,et al.  Identifying potentially disruptive trends by means of keyword network analysis , 2017 .

[5]  Yiting Deng,et al.  Invited Paper - A Keyword History of Marketing Science , 2013, Mark. Sci..

[6]  Michael K. Buckland.  Obsolescence in subject description , 2012, J. Documentation.

[7]  Yu-Wei Chang,et al.  Evolution of research subjects in library and information science based on keyword, bibliographical coupling, and co-citation analyses , 2015, Scientometrics.

[8]  Rong Tang,et al.  Evolution of the interdisciplinary characteristics of information and library science , 2005, ASIST.

[9]  Birger Hjørland,et al.  Library and Information Science (LIS), Part 1 , 2018 .

[10]  Bradley M. Hemminger,et al.  A study of factors that affect the information-seeking behavior of academic scientists , 2012, J. Assoc. Inf. Sci. Technol..

[11]  Janet M. Box-Steffensmeier,et al.  Survival Analysis of Faculty Retention and Promotion in the Social Sciences by Gender , 2015, PloS one.

[12]  S. Ananiadou,et al.  Using text mining for study identification in systematic reviews: a systematic review of current approaches , 2015, Systematic Reviews.

[13]  Lin Sun,et al.  Understanding the formation of interdisciplinary research from the perspective of keyword evolution: a case study on joint attention , 2018, Scientometrics.

[14]  Arif Khan,et al.  The impact of author-selected keywords on citation counts , 2016, J. Informetrics.

[15]  Ronald N. Kostoff,et al.  Co-Word Analysis , 1993 .

[16]  Yu-Wen Huang,et al.  Mapping knowledge structure by keyword co-occurrence and social network analysis: Evidence from Library Hi Tech between 2006 and 2017 , 2018, Libr. Hi Tech.

[17]  Yong Liu,et al.  A co-word analysis of library and information science in China , 2013, Scientometrics.

[18]  Gohar Feroz Khan,et al.  Information technology management domain: emerging themes and keyword analysis , 2015, Scientometrics.

[19]  John B. Willett,et al.  It’s About Time: Using Discrete-Time Survival Analysis to Study Duration and the Timing of Events , 1993 .

[20]  Gobinda G. Chowdhury,et al.  Bibliometric cartography of information retrieval research by using co-word analysis , 2001, Inf. Process. Manag..

[21]  Munan Li.  Classifying and ranking topic terms based on a novel approach: role differentiation of author keywords , 2018, Scientometrics.

[22]  Pei-Chun Lee,et al.  Mapping knowledge structure by keyword co-occurrence: a first look at journal papers in Technology Foresight , 2010, Scientometrics.

[23]  Guo Chen,et al.  Selecting publication keywords for domain analysis in bibliometrics: A comparison of three methods , 2016, J. Informetrics.

[24]  Kyo Kageura,et al.  Calculating association between technical terms based on co-occurrences in keyword lists of academic papers , 2003, Systems and Computers in Japan.

[25]  William H. Walters,et al.  Disciplinary, national, and departmental contributions to the literature of library and information science, 2007–2012 , 2016, J. Assoc. Inf. Sci. Technol..

[26]  W. Boyd Rayward.  The historical development of information infrastructures and the dissemination of knowledge: A personal reflection , 2005 .

[27]  Cassidy R. Sugimoto,et al.  The cognitive structure of Library and Information Science: Analysis of article title words , 2011, J. Assoc. Inf. Sci. Technol..

[28]  Brian A. Nosek,et al.  Scientific Utopia , 2012, Perspectives on psychological science : a journal of the Association for Psychological Science.

[29]  Seongsin Lee,et al.  A Study on Research Trends in Public Library Research in Korea Using Keyword Networks , 2016 .

[30]  C. Hall,et al.  Publish and perish? Bibliometric analysis, journal ranking and the assessment of research quality in tourism , 2011 .

[31]  J. Kalinoski,et al.  The view from here. , 1991, The Journal of the Association of Nurses in AIDS Care : JANAC.

[32]  Thomas A. Runkler,et al.  Automatic keyword extraction with relational clustering and Levenshtein distances , 2000, Ninth IEEE International Conference on Fuzzy Systems. FUZZ- IEEE 2000 (Cat. No.00CH37063).

[33]  Birger Hjørland,et al.  Library and information science: practice, theory, and philosophical basis , 2000, Inf. Process. Manag..

[34]  Eve E. Hoggan,et al.  Information-seeking behaviors of computer scientists: Challenges for electronic literature search tools , 2013, ASIST.

[35]  Robert M. Losee.  The Development and Migration of Concepts from Donor to Borrower Disciplines: Sublanguage Term Use in Hard & Soft Sciences , 1995, ArXiv.

[36]  Adolfo Alonso Arroyo,et al.  Keywords given by authors of scientific articles in database descriptors , 2007, J. Assoc. Inf. Sci. Technol..

[37]  J Sun,et al.  Regression analysis of interval-censored failure time data. , 1997, Statistics in medicine.

[38]  Khalid Mahmood,et al.  Use of Bibliometrics in LIS Research , 2009 .

[39]  Simon Hoyle.  The evolution of research , 2014 .

[40]  David Bawden,et al.  Is Google enough? Comparison of an internet search engine with academic library resources , 2005, Aslib Proc..

[41]  Carlos G. Figuerola,et al.  Mapping the evolution of library and information science (1978–2014) using topic modeling on LISA , 2017, Scientometrics.

[42]  Qin He,et al.  Knowledge Discovery Through Co-Word Analysis , 1999, Libr. Trends.

[43]  Ann Peterson Bishop,et al.  The Status of Research in Library/Information Science: Guarded Optimism. , 1989 .

[44]  John Maltby,et al.  Impact of the Internet on our lives: Male and female personal perspectives , 2008, Comput. Hum. Behav..

[45]  S. Kamarthi,et al.  Novel keyword co-occurrence network-based methods to foster systematic reviews of scientific literature , 2017, PloS one.

[46]  JärvelinKalervo,et al.  Evolution of library and information science, 1965-2005 , 2014 .

[47]  O. Faust.  Documenting and predicting topic changes in Computers in Biology and Medicine: A bibliometric keyword analysis from 1990 to 2017 , 2018 .

[48]  Jesús Basulto Santos,et al.  Modelling citation age data with right censoring , 2005, Scientometrics.

[49]  Pertti Vakkari,et al.  Evolution of library and information science, 1965–2005: Content analysis of journal articles , 2014, J. Assoc. Inf. Sci. Technol..

[50]  Dietmar Wolfram,et al.  Visualizing the intellectual structure of information science (2006-2015): Introducing author keyword coupling analysis , 2016, J. Informetrics.

[51]  W. Whelan.  Publish and Perish! , 1995, FASEB journal : official publication of the Federation of American Societies for Experimental Biology.

[52]  Hongqi Han,et al.  Revealing Research Themes and their Evolutionary Trends Using Bibliometric Data Based on Strategic Diagrams , 2013, 2013 International Conference on Information Science and Cloud Computing Companion.

[53]  Henk F. Moed,et al.  The thematic and conceptual flow of disciplinary research: A citation context analysis of the journal of informetrics, 2007 , 2013, J. Assoc. Inf. Sci. Technol..

[54]  Chao Long,et al.  Comparing keywords plus of WOS and author keywords: A case study of patient adherence research , 2016, J. Assoc. Inf. Sci. Technol..

[55]  Lihe Chai,et al.  Three new bibliometric indicators/approaches derived from keyword analysis , 2018, Scientometrics.

[56]  Birger Hjørland,et al.  ISKO Encyclopedia of Knowledge Organization , 2016 .

[57]  Karen Sparck Jones.  Automatic keyword classification for information retrieval , 1971 .

[58]  Omwoyo Bosire Onyancha,et al.  Forty-Five Years of LIS Research Evolution, 1971–2015: An Informetrics Study of the Author-Supplied Keywords , 2018, Publishing Research Quarterly.

[59]  Rafael Aleixandre-Benavent,et al.  Library and information science research areas: Analysis of journal articles in lisa , 2008, J. Assoc. Inf. Sci. Technol..

[60]  Birger Hjørland,et al.  Toward a New Horizon in Information Science: Domain-Analysis , 1995, J. Am. Soc. Inf. Sci..

[61]  Yiting Deng,et al.  A Keyword History of Marketing Science , 2012 .

[62]  ZinsChaim.  Conceptions of information science , 2007 .

[63]  X. Leung,et al.  Bibliometrics of social media research: A co-citation and co-word analysis , 2017 .

[64]  Ang Li,et al.  Research on the semantic-based co-word analysis , 2011, Scientometrics.

[65]  Noa Aharony,et al.  Library and Information Science research areas: A content analysis of articles from the top 10 journals 2007–8 , 2012, J. Libr. Inf. Sci..

[66]  Zhiyong Lu,et al.  Author keywords in biomedical journal articles. , 2010, AMIA ... Annual Symposium proceedings. AMIA Symposium.

[67]  Francisco Javier Ortega Irizo,et al.  Modelización de la antigüedad de las citas en la literatura científica con datos censurados a la derecha , 2002 .

[68]  Jun Lin,et al.  Where do breakthrough ideas come from? Characteristics of scientists' research behaviors , 2014, 2014 IEEE International Conference on Management of Innovation and Technology.

[69]  Adam P. Vrechopoulos,et al.  CRM literature: conceptual and functional insights by keyword analysis , 2009 .