ABSTRACT
In the paper, we present an approach to mining a directed social network from a message board on the Internet where vertices denote individuals and directed links denote the flow of influence. The influence is measured based on propagating terms among individuals via messages. The distance with respect to contextual similarity between individuals is acquired since the influence indicates the degree of their shared interest represented as terms.
- N. Matsumura. Topic Diffusion in a Community. Chance Discovery, pages 84--97. Springer Verlag, 2003.Google ScholarCross Ref
- N. Matsumura, D. E. Goldberg, and X. Xlorà. Mining social networks from message boards. IlliGAL Report No. 2005001, 2005.Google Scholar
Index Terms
- Mining directed social network from message board
Recommendations
An empirical investigation of information sharing behavior on social commerce sites
This study highlights the role of directed social network and examines its impact on information sharing behavior.The model was test by analyzing data collected with both subjective and objective approaches in a longitudinal setting.This study examines ...
Finding hierarchy in directed online social networks
WWW '11: Proceedings of the 20th international conference on World wide webSocial hierarchy and stratification among humans is a well studied concept in sociology. The popularity of online social networks presents an opportunity to study social hierarchy for different types of networks and at different scales. We adopt the ...
Compressing and mining social network data
ASONAM '21: Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and MiningNowadays, social networking is popular. As such, numerous social networking sites (e.g., Facebook, YouTube, Instagram) are generating very large volumes of social data rapidly. Valuable knowledge and information is embedded into these big social data. ...
Comments