Social Network Analysis Text Mining on Networks Publication Citation

The Publication Citation Network helps you visualize the distribution of journal articles or reviews. This extension helps determine the exposure of local and international university press. The relationship between one paper and another. Once formed, it is difficult to see the distribution of articles referenced in published articles. Unpublished publications may be due to complex relationships between one publication and another. Publications are widely distributed. Difficulty in determining the relationships between the objects of a publication and the need to determine the level of publication of the publication. This study consists of several parts and is only a part. In this study, we will use a text mining and social analysis approach to create a model that creates a graph that can visualize the distribution of date posts within a date post network. SINTA Science and Technology Index and data relationships using text mining on the Google Scholar website. Identify nodes in building a network of important publications. The data used is data from the SINTA Science and Technology Index website which involves publication data from Universitas Sumatera Utara lecturers from 2015 to 2020 and consists of 1730 records. The variables used included the article title, author name, institution, citation, and country. Text Mining runs in Python and generates a graph on the board.