On the collective classification of email "speech acts"
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Profiling Student Interactions in Threaded Discussions with Speech Act Classifiers
Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
Signed networks in social media
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A Network Analysis of Stakeholders in Tool Visioning Process for Story Test Driven Development
ICECCS '10 Proceedings of the 2010 15th IEEE International Conference on Engineering of Complex Computer Systems
| Hi-index | 0.00 |
Recent years have witnessed the transformation of the World Wide Web from an information-gathering and processing tool into an interactive communication medium in the form of online discussion forums, chat--rooms, blogs, and so on. There is strong evidence suggesting that social networks facilitate new ways to interact with information in such media. Understanding the mechanisms and the patterns of such interactions can be important for many applications. Currently, there is not much work that adequately models interaction between social networks and information content. From the perspective of social network analysis, most existing work is concerned with understanding static topological properties of social networks represented by such forums. For instance, Park and Maurer (2009) applied node clustering to identify consensus and consensus facilitators, while Kang et al. (2009) uses discussion thread co-participation relations to identify (static) groups in discussions. On discussion content analysis research side, there have been approaches for classifying messages with respect to dialogue roles (Carvalho and Cohen, 2005; Ravi and Kim, 2007), but they often ignore the role and the impact of underlying social interactions.