Abstract
Revealing underlying social influence among users in social media is critical to understanding how users interact, on which a lot of security intelligence applications can be built. Existing methods fail to take into account the interaction relationships among memes. In this paper, we propose to simultaneously model social influence and meme interaction in information diffusion with novel multidimensional Hawkes processes. Experimental results on both synthetic and real world social media data show the efficacy of the proposed approach.
Original language | English (US) |
---|---|
Title of host publication | 2015 IEEE International Conference on Intelligence and Security Informatics |
Subtitle of host publication | Securing the World through an Alignment of Technology, Intelligence, Humans and Organizations, ISI 2015 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 135-137 |
Number of pages | 3 |
ISBN (Electronic) | 9781479998883 |
DOIs | |
State | Published - Jul 23 2015 |
Event | 13th IEEE International Conference on Intelligence and Security Informatics, ISI 2015 - Baltimore, United States Duration: May 27 2015 → May 29 2015 |
Other
Other | 13th IEEE International Conference on Intelligence and Security Informatics, ISI 2015 |
---|---|
Country | United States |
City | Baltimore |
Period | 5/27/15 → 5/29/15 |
Keywords
- Hawkes process
- information diffusion
- social influence
- social media
ASJC Scopus subject areas
- Artificial Intelligence
- Law
- Computer Networks and Communications
- Safety, Risk, Reliability and Quality