Text Network Analysis: Theory and Practice

This article begins a journey to discover this wonderful area: from theory, data prep, and network construction to visualization and forecasting -- this series covers the most fundamental concepts of text networks in Python. Over time, scientists developed numerous complex methods to understand the relations in the text datasets, including text network analysis. In the academic literature, networks are more formally referred to as graphs. More rigorous theoretical propositions of graph theory can be traced back to the 1950s (Berge, 1958). This field has experienced a rapid increase in popularity among academic researchers.