Analysis and Comparison of Interdisciplinary Relations of Library Science and Information Science Based on Citation Clustering in The Period of Before and After the Appearance of the Web

The purpose of the present study was analyze the interdisciplinary relations of “Library Science Information and Science” (LIS) then subject categories of Citing and Cited journals of this field were investigated from JCR database during the period of 1987-1997 and 2003-2013, and through the comparsion of obtained results, the impact of information technology on the development of “LIS” interdisciplinarity has been investigated. Methedology of research was Co-citation analysis of journals in scientometrics studies also the research was performed using the conventional techniques of scientometrics includes Bradfors’s law, Ward hierarchical clustering approach in statistical software SPSS, and the new measure including Proximity index. Research community includes cining and cited journals of 56 “LIS” journals during 1987-1997 and 83 journals during 2003-2013 in Journals Ctiation Report (JCR) database. The results showed that “LIS” has been influenced by other subject categories more than affect them for example the number of journals which “LIS” cited them from 1758 (in first period) has increased to 5303 (in second period). Co-occurrence matrix of core citing and cited subject categories was analysed, and three main clusters in the first period and seven clusters in the second period were drawn. In general, the amount and how Co-occurrence of subject categories in clusters showed that the domain and varity of affecting and affected subject categories were expanded in second period. Structural similarity of clusters for affecting and affected subject categories calculated results showed that structural similarity of clusters in the second period was %10 higher than in the first period. Also, the Structural similarity of affecting clusters of “LIS” was more than affected clusters. Assessment of difference of between subject categories groups by ANOVA and Tukey Post hoc tests showed that between all number of citing and cited groups was diffence.