Computational Modelling Frameworks in Sociology: Scientometric Analysis

Student: Suschevskiy Vsevolod

Supervisor: Ilya Musabirov

Faculty: Saint-Petersburg School of Social Sciences

Educational Programme: Sociology and Social Informatics (Bachelor)

Year of Graduation: 2020

With the development of Agent-Based modelling as one of the areas in Computational Social Science, researchers from different disciplinary backgrounds bring together theories and computational representations of choice that interact and clash in a melting pot of models. In this paper I analyze the social structure of the scientific field of ABM in CSS by building disciplinary author profiles based on their choice of publication venues, and connect this structure to footprints of computational modelling frameworks they chose, as found in published empirical papers. I use this connection to demonstrate the delineations between Sociology and adjacent (in social simulation) areas such as Economics and Physics.

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