Study of co-authorship network of papers in all sessions of IIIEC Conference

The rapid growth of science and technology has led to research work being done in groups to share Scientists’ knowledge in various scientific fields and achieve better results in projects. In this regard, the analysis of co-authorship networks in identifying influential people can significantly help journalsto be able to have appropriate orientations in the future according to the rapid growth of science. The Iranian International Industrial Engineering Conference (IIIEC) is one of the most important industrial engineering events in Iran, of which 16 sessions have been held so far, and 3990 papers have beensubmitted to this conference and 5733 researchers from 218 universities and scientific centers participated in this conference. In this article, by extracting the information of the articles submitted at the IIIEC conference and analyzing them with network analysis techniques, an attempt has been madeto examine the key and effective authors in the Persian and English sections and their communications. Also, the universities and scientific centers participating in this conference were analyzed and key and effective centers were identified. Finally, the overall behavior of the network in each section was analyzed. The most co-authorship occurred in Persian was 7 times and in English was 8 times, and the universities of Tehran and Iran University of Science and Technology have had the most cooperation with each other (31 times).

کلیدواژه ها:

Co-authorship Network ، Co-authorship Analysis ، Social Network Analysis ، IIIEC Conference ، Data Mining