Adding Taxonomies Obtained by ContentClustering to Semantic Social Network Analysis

摘要

This paper introduces a novel method to analyze the con-tent of communication in social networks. Content clustering methods are used to extract a taxonomy of concepts from each analyzed com-munication archive. Those taxonomies are hierarchical categorizations of the concepts discussed in the analyzed communication archives. Concepts are based on terms extracted from the communication's content. The resulting taxonomy provides insights into the communication not possible through conventional social network analysis.