This study lays down the results of an analysis carried out using social network method on exhaustive bibliographic citation index that consists of scientific publications on Spanish women during Spanish Civil War. For this purpose, web-based system kaynakca.info is employed. Firstly, the historical, bibliographic citation index named “References and Citation Index on Spanish Women History” is created on kaynakca.info within the scope of this study. The index incorporates the main studies written following the war such as books published by prestigious international presses, articles published in peer-reviewed journals, international symposium reports and dissertations. Aforementioned index was analyzed by using the betweenness, closeness and eigenvector collectivism criterions of the social network analysis method. Important researchers that conducted significant research on the subject “Spanish women during Spanish Civil War” as well as other relevant contributors that connect different groups in this network are revealed using network maps created by employing the social network analysis.

This study lays down the results of an analysis carried out using social network method on exhaustive bibliographic citation index that consists of scientific publications on Spanish women during Spanish Civil War. For this purpose, web-based system kaynakca.info is employed. Firstly, the historical, bibliographic citation index named “References and Citation Index on Spanish Women History” is created on kaynakca.info within the scope of this study. The index incorporates the main studies written following the war such as books published by prestigious international presses, articles published in peer-reviewed journals, international symposium reports and dissertations. Aforementioned index was analyzed by using the betweenness, closeness and eigenvector collectivism criterions of the social network analysis method. Important researchers that conducted significant research on the subject “Spanish women during Spanish Civil War” as well as other relevant contributors that connect different groups in this network are revealed using network maps created by employing the social network analysis.