Adding Taxonomies Obtained by Content Clustering to Semantic Social Network Analysis.

Autor: Fuehres, Hauke, Fischbach, Kai, Gloor, Peter A., Krauss, Jonas, Nann, Stefan
Zdroj: On Collective Intelligence; 2011, p135-146, 12p
Abstrakt: This paper introduces a novel method to analyze the content of communication in social networks. Content clustering methods are used to extract a taxonomy of concepts from each analyzed communication 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. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index