Different Aspects of Social Network Analysis
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
Using the Semantic Web for linking and reusing data across Web 2.0 communities
Web Semantics: Science, Services and Agents on the World Wide Web
Interlinking the Social Web with Semantics
IEEE Intelligent Systems
Representing, Querying and Transforming Social Networks with RDF/SPARQL
ESWC 2009 Heraklion Proceedings of the 6th European Semantic Web Conference on The Semantic Web: Research and Applications
Web Science 2.0: Identifying Trends through Semantic Social Network Analysis
CSE '09 Proceedings of the 2009 International Conference on Computational Science and Engineering - Volume 04
Social Network Services as Data Sources and Platforms for e-Researching Social Networks
Social Science Computer Review
Analysis of a Real Online Social Network Using Semantic Web Frameworks
ISWC '09 Proceedings of the 8th International Semantic Web Conference
Flink: Semantic Web technology for the extraction and analysis of social networks
Web Semantics: Science, Services and Agents on the World Wide Web
Recipes for semantic web dog food: the ESWC and ISWC metadata projects
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Measuring the dynamic bi-directional influence between content and social networks
ISWC'10 Proceedings of the 9th international semantic web conference on The semantic web - Volume Part I
Semantic network analysis of ontologies
ESWC'06 Proceedings of the 3rd European conference on The Semantic Web: research and applications
Online egocentric models for citation networks
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
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Artificial intelligence has a long history of learning from domain problems ranging from chess to jeopardy. In this work, we look at a problem stemming from social science, namely, how do social relationships influence communication content and vice versa. The tools used to study communication content (content analysis) have rarely been combined with those used to study social relationships (social network analysis). Furthermore, there is even less work addressing the longitudinal characteristics of such a combination. This paper presents a general framework for measuring the dynamic bi-directional influence between communication content and social networks. The framework leverages the idea that knowledge about both kinds of networks can be represented using the same knowledge representation. In particular, through the use of Semantic Web standards, the extraction of networks is made easier. The framework is applied to two use-cases: online forum discussions and conference publications. The results provide a new perspective over the dynamics involving both social networks and communication content.