Earticle

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

Abstract
 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

키워드

저자

• Min-Feng Wang [ Department of Computer Science and Information Engineering, National Central University ]
• Chi-Sheng Huang [ Department of Computer Science and Information Engineering, National Central University ]
• Meng-Feng Tsai [ Department of Computer Science and Information Engineering, National Central University ]
• Bo-Ru Song [ Department of Computer Science and Information Engineering, National Central University ]
• Shin-Fu Su [ Department of Computer Science and Information Engineering, National Central University ]
• Cheng-Hsien Tang [ Department of Computer Science and Information Engineering, National Central University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Future Generation Communication and Networking

• 간기

  격월간

• pISSN

  2233-7857

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605