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

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.