Abstract
As the number of social networking services (SNS) and their users grow, so does the complexity of individual networks as well as the amount of information to be consumed by the users. Users of SNS exchange short and instantaneous messages interactively, which can be seen as conversations. We explore this conversational aspect of SNS and show how refined topic-based semantic social networks can be formed in order to reduce the complexity and information overload. Among other possibilities, we use the notion of topic diversity and topic purity of SNS conversations between two users and show different types of social relationships can be identified in that they break down a huge “syntactic” social network into topic-based ones based on different interaction types. Resulting semantic social networks can be useful in designing various targeted services on online social networks.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: Proceedings of the International AAAI Conference on Web and Social Media
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.