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Measuring the Dynamic Bi-directional Influence between Content and Social Networks

机译:测量内容与社交网络之间的动态双向影响

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The Social Semantic Web has begun to provide connections between users within social networks and the content they produce across the whole of the Social Web. Thus, the Social Semantic Web provides a basis to analyze both the communication behavior of users together with the content of their communication. However, there is little research combining the tools to study communication behaviour and communication content, namely, social network analysis and content 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. We apply this framework in 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.
机译:社会语义网络已开始在社交网络中的用户和整个社交网络中产生的内容提供联系。因此,社会语义Web提供了分析用户的通信行为以及他们的通信内容的基础。然而,几乎没有研究组合工具学习通信行为和通信内容,即社会网络分析和内容分析。此外,甚至还有更少的工作解决了这种组合的纵向特征。本文介绍了测量通信内容和社交网络之间的动态双向影响的一般框架。我们在两种用例中应用此框架:在线论坛讨论和会议出版物。结果提供了涉及社交网络和通信内容的动态的新视角。

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