Text Mining and Drawing a Compiled Social Network of the Journal of Studies of Human Settlements Planning (JSHSP) Studies with a Scientometric Approach

Subject Areas : Urban and Regional Planning Studies

H.  Barangi ¹ (Department of Computer Engineering, Payame Noor University, Iran)

Received: 2017-07-09 Accepted : 2017-08-21 Published : 2017-08-23

Keywords: Citation Analysis, Scientometric, Text Mining, Journal of Human Settlements Planning Studies,

Abstract :

The aim of this study is to review and the meaning, content and statistics analysis and articles status of the Journal of Human Settlements Planning Studies. To achieve this objective, scientometric techniques were used. To collect data and initial analysis, a software was designed. The population of this study was all articles of this journal which included 328 articles which were published from 2006 to 2016. Analyses included keywords' communicative clustering, drawing a compiled social network, detecting top researchers with regard to synthetic indicators and indicators related to a variety of centrality, identifying the most cited articles, the best researchers in terms of articles count and referral and top universities in terms of the number of articles published. The results showed that the journal's keywords were located in 5 thematic clusters and rural and tourism development were of the most frequent keywords. The journal's titles were located in 8 thematic clusters which clusters of guide plans' effects, social factors planning and tourism study in the rural areas were of the most important issues in the created clusters. In terms of organizational affiliation, the researchers of Islamic Azad University of Rasht have the most number of articles by participating in writing 93 articles and assigning 30%, and by considering the compiled social network, H-INDEX and the most cited researchers, it can be stated that Teimur Amar is considered as the most influential researcher in the Journal of Human Settlements Planning Studies.  

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