Pattern of Author Productivity using Lotka's Law in National conference Proceedings

Abstract

This paper deals with the pattern of author productivity using Lotka’s law in national conference proceedings. The purpose of the paper to analyses the content wise distribution of the paper, types of document cited, pagination per articles, Number of keywords per articles, authorship pattern of cited references and to test Lotka’s law. The data set was created by using 31contributed papers, invited papers and abstracts were excluded from the study. The collected data was further analyzed by using M.S. Excel and Chi-square test is used to prove hypothesis. For this study total counting method was apply to test Lotka's law. The findings of the study reveals 15 (48.4%) are full text papers.50 (53.19%) of journals, magazines, and newspapers are cited followed by 21 (22.34%) of websites. 9 (60.00%) papers have the pagination of 7-12 pages, followed by 5 (33.33%) papers have the pagination of 13-18 pages. 6 (42.86%) papers are used 3 keywords, followed by 4 (28.57%) papers are used 4 keywords. cited references of single author are 26(49.06%) followed by the cited references of two authors are 14 (26.42%). the pattern of author productivity is tested by using Lotka's law. The number of publications by each author of the cited references which received equal credit by total counting method. Chi-square test is used to test the hypothesis and used to verify the applicability of Lotka's law. The result shows that Chi-square value was highly significant and Lotka's law was not applicable to this data.