visualization and analysis of the co-authorship network of articles of national congress on “family pathology” using social network analysis indicators

The present paper aims to visualize and analyze the co-authorship network of articles of national congress on family pathology using social network analysis (SNA) indicators. The present paper employed the descriptive research method with scientometrics approach and analyzed social network by micro and macro indicators. UCINET software was used to visualize and analyze the co-authorship network, and VOS viewer software was utilized to visualize a density network of the co-authorship. The 6th congress includes the most articles and the 5th includes the least papers. Dual and triple patterns of co-authorship are assigned as the most common patterns in the studied network. However, the most applied authorship pattern during the 6th hold congresses was the collaborative co-authorship pattern. The network has low consistency and contains many isolated nodes. “Sadeghi”, “Mazaheri”, “Dehghani”, “Zardamvi” and “Yaryari” are considered as social capitals of the network due to their high centrality and collaboration degree.