An Efficient Approach for Discovering Impact Factor of E-Books using Eigen Factor and UCINET

An Impact Factor is one measure of the relative importance of a journal, individual article or scientist to science and social science literature and research. Each index or database used to create an impact factor uses a different methodology and produces slightly different results, revealing the importance of using several sources to judge the true impact of a journal's or scientist’s work. In the web environment, impact factor is measured through the number of hyperlinks counts and number of WebPages. The concept of self-citation is replaced by self-links, i.e., the links within the websites and citation is replaced by in-links, i.e., the links coming outside the websites. As we know, WIF is the logical sum of external and self-link WebPages divided by number of web pages found on that particular websites. There are number of way to find the impact of journal, paper, and Web sites etc. In this proposed system is going to find impact factor of E-books by using EigenFactor and the links of E-books represented by using UCINET software. The link of E-books can identify based on the degree, betweenness of the link. This system is used to measure the quality of E-books and to know how many of them referring the E-book. Most of the E-books are downloaded from the Web or require pages can read from the Web site itself. This was done by means of a citation analysis and a reader survey. For the citation analysis, impact factor, citing half-life, number of references per article, and the rate of self-references of a periodical were used as indicators. Webometric data have been collected through Yahoo! And Google search engines using special query syntax.