A dynamic network analytic perspective on the state of computational social science

Article type: Research Article

Authors: Carley, Kathleen M.

Affiliations: Institute for Software Research, Engineering and Public Policy, Center for Computational Analysis of Social and Organizational Science, Pittsburgh, PA, USA. E-mail: kathleen.carley@cs.cmu.edu

Abstract: Computational Social Science has evolved remarkably since its inception. The growing ability to mine, analyze, and visualize big data and the growing interdisciplinarity of core methodologies, suggests that there is an even greater evolutionary step to come. This is particularly true from a dynamic network perspective. Herein, the state of the field in terms of great advances and core challenges is described. Although there have been great strides, the core challenges today are modern variants of challenges that have perennial impacted this field.

Keywords: Dynamic network analysis, agent based models, computational social science, reusable systems, visual analytics, social network analysis, big data

DOI: 10.3233/IKS-150231

Journal: Information Knowledge Systems Management, vol. 12, no. 3-4, pp. 197-203, 2015