Semantic Social Network Analysis

TL;DR

This paper proposes integrating semantic web technologies with social network analysis to improve the understanding and management of large online social networks, enhancing traditional analysis methods.

Contribution

It introduces a novel approach that combines semantic web techniques with social network analysis to better analyze and exploit online social networks.

Findings

Enhanced analysis capabilities for online social networks.

Improved management and prediction of social network evolution.

Integration of semantic web technologies with SNA.

Abstract

Social Network Analysis (SNA) tries to understand and exploit the key features of social networks in order to manage their life cycle and predict their evolution. Increasingly popular web 2.0 sites are forming huge social network. Classical methods from social network analysis (SNA) have been applied to such online networks. In this paper, we propose leveraging semantic web technologies to merge and exploit the best features of each domain. We present how to facilitate and enhance the analysis of online social networks, exploiting the power of semantic social network analysis.