Text mining and Co-authored social network tracing of Scientific Journal Management System (JSHSP) in bibliometrics approach

The aim of this study is to analyze the meaning, content and statistics of Scientific Journal Management System (JSHSP). To achieve this objective, bibliometrics techniques were used. For primary data collection and analysis, a software was designed. The study sample consisted of 328 articles, the journal that published from 1385 to 1395. The analysis includes clustering related keywords, drawing Social Network co-authorship, identify top researchers with respect to synthetic indicators and indicators related to a variety of central, identifying the most highly cited articles, most researchers in the number of articles and references and top universities in terms the number of published papers. The results showed that in the five clusters of keywords that are the subject of rural development and tourism are the most frequent keywords. Researchers from the Islamic Azad University of Rasht, by participating in writing 93 articles and 30%, in terms of organizational affiliation are most article. Considering the social network co-authorship, H- INDEX can be cited authors stated that “Amar” is influential researcher of JSHSP.