Introduction: Access to social information focuses on those technologies that put the users in interaction with the information, to provide the users more accessibility to the information.
Objective: The analysis of intellectual structure of the published studies of social information field in the Web of Science (WoS) database according to bibliometric analysis and centrality indicators in WoS database in the period 1983 to 2018, is done through examining the effectiveness and impressionability of this field to recognize its studied fields and effective factors.
Methodology: method of the research was descriptive that used bibliometric approaches based on the scientific data in WoS database; The common techniques such as co-word and co-author were used. The social information extracted data were analyzed by social network analysis centrality indicators of VOSviewer, Excel, and UCINET software.
Results: The results shown that the most of these articles within social information field were published in USA, Germany, England, France, and China, and also some research outputs have been done in that fields in Korea and Iran. According to the scientific outputs of researchers in the WoS database, on the period 1983 to 2018, USA took the first place with 1496 articles. Authors such as Sheldon, Lalande, Webster, Karius, Nocera, Forceman, and Laaksonen have had the most cooperation in the production of social information field scientific outputs. Based on co-words analysis of web of science category (WC) and subject categories (SC), social information area in this study was divided into four clusters which their topics included social recognition, social behavior confronted with outer environment, social networks, learning and social information processing in human and software. Also, high degree into different centrality measure is related to Psychology, Telecommunication, behavioral sciences, evolutionary biology, and psychology, multidisciplinary in WC and SC
