원문정보
초록
영어
The importance of social network analysis has become more remarkable in recent years. The social network researches which focus on the behavior of users propagating messages have been growing in recent years. Besides, most of the researches of influence evaluation in the past focused on the behavior of propagating between users, instead of considering the behavior of propagating between different social communities. Hence, this research provides a system to evaluate the pattern of propagating messages. The information propagation, however, can take place at different levels of social groups-among individuals and among groups or communities. Adapting from a generalized suffix tree, our proposed methodology can be constructed to form a framework for querying various kinds of related propagation effects, and the effects can be observed corresponding to different levels of granularities of social communities.
목차
1. Introduction
2. Related Work
3. Overall Framework
4. Methodology
4.1. User Behavior Analysis
4.2. Find Propagation Path
4.3. Generalized Propagation Suffix Tree
4.4. Query Module
5. Experiments
5.1. Dataset Collection and Preprocessing
5.2. Results
6. Conclusions
Acknowledgements
References