Analysis structure Social network of Foreign articles Co-authorship of faculty members in Science Education

The present study was conducted to study the Co-authorship network of faculty members in the field of education of public universities of Tehran and reviewing authorship patterns in 199 foreign articles published in Web of Science and Scopus databases to pay in March 2017. This study was conducted scientometric approach and social network analysis. Configure the Co-authorship network for the publication of internal papers were investigated using the macro indicators network analysis such as Density, clustering coefficient, mean distance, connectedness and diameter of the network and for analyzing the performance of each faculty member with a compilation in the network, was used the micro indexes of the analysis of networks such as Indices degree centrality, betweenness, closeness, and eigen vector. To analyze and draw information obtained from the network were used a U.C.I.Net software and its complementary package Net Draw. The pattern of three authorship has been the most important collaborative pattern in the articles studied (%30). The network is composed of 106 nodes and 41 ties. The study of micro indicators showed that individuals such as Abbas Abbaspou , Khosrow Bagheri With the highest degree of scientific collaboration with other writers, they are the most participant in the network.