Towards mapping library and information science

@article{citeulike:2516407, abstract = {In an earlier study by the authors, full-text analysis and traditional bibliometric methods were combined to map research papers published in the journal Scientometrics. The main objective was to develop appropriate techniques of full-text analysis and to improve the efficiency of the individual methods in the mapping of science. The number of papers was, however, rather limited. In the present study, we extend the quantitative linguistic part of the previous studies to a set of five journals representing the field of Library and Information Science (LIS). Almost 1000 articles and notes published in the period 2002-2004 have been selected for this exercise. The optimum solution for clustering LIS is found for six clusters. The combination of different mapping techniques, applied to the full text of scientific publications, results in a characteristic tripod pattern. Besides two clusters in bibliometrics, one cluster in information retrieval and one containing general issues, webometrics and patent studies are identified as small but emerging clusters within LIS. The study is concluded with the analysis of cluster representations by the selected journals.}, author = {Janssens, Frizo and Leta, Jacqueline and Glanzel, Wolfgang and De Moor, Bart }, booktitle = {Special Issue on Informetrics}, citeulike-article-id = {2516407}, doi = {10.1016/j.ipm.2006.03.025}, journal = {Information Processing \& Management}, keywords = {bibliometrics, citation, mapping, textmining}, month = {December}, number = {6}, pages = {1614--1642}, posted-at = {2008-03-11 19:42:46}, priority = {2}, title = {Towards mapping library and information science}, url = {http://dx.doi.org/10.1016/j.ipm.2006.03.025}, volume = {42}, year = {2006} }

TY - JOUR ID - citeulike:2516407 L3 - citeulike-article-id:2516407 TI - Towards mapping library and information science T2 - Special Issue on Informetrics JF - Information Processing & Management VL - 42 IS - 6 SP - 1614 EP - 1642 N2 - In an earlier study by the authors, full-text analysis and traditional bibliometric methods were combined to map research papers published in the journal Scientometrics. The main objective was to develop appropriate techniques of full-text analysis and to improve the efficiency of the individual methods in the mapping of science. The number of papers was, however, rather limited. In the present study, we extend the quantitative linguistic part of the previous studies to a set of five journals representing the field of Library and Information Science (LIS). Almost 1000 articles and notes published in the period 2002-2004 have been selected for this exercise. The optimum solution for clustering LIS is found for six clusters. The combination of different mapping techniques, applied to the full text of scientific publications, results in a characteristic tripod pattern. Besides two clusters in bibliometrics, one cluster in information retrieval and one containing general issues, webometrics and patent studies are identified as small but emerging clusters within LIS. The study is concluded with the analysis of cluster representations by the selected journals. KW - bibliometrics KW - citation KW - mapping KW - textmining AU - Janssens, Frizo AU - Leta, Jacqueline AU - Glanzel, Wolfgang AU - De Moor, Bart PY - 2006/12// UR - http://dx.doi.org/10.1016/j.ipm.2006.03.025 ER -