| Abstract |
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.
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