Rooting out the rumor culprit from suspects

IEEE International Symposium on Information Theory - Proceedings

Volumn , Issue , 2013, Pages 2671-2675

  Dong, Wenxiang ^a   Zhang, Wenyi ^a   Tan, Chee Wei ^b  

^a UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

^b CITY UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

A-PRIORI PROBABILITIES; ASYMPTOTIC REGIMES; CONNECTED SUBGRAPH; CONNECTION PATTERNS; DETECTION PROBABILITIES; MAXIMUM A POSTERIORI; PROBABILITY THEORY; RELIABLE DETECTION;

INFORMATION THEORY; PROBABILITY;

GRAPH THEORY;

EID: 84890365660     PISSN: 21578095     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISIT.2013.6620711     Document Type: Conference Paper

References (7)

1. D. Kempe, J. Kleinberg, and Eva Tardos, "Maximizing the spread of influence through a social network," in Proc. ACM SIGKDD, 2003.
2. D. Shah and T. Zaman, "Rumors in a network: who's the culprit?" IEEE Trans. Inform. Theory, vol. 57, no. 8, pp. 5163-5181, 2011.
3. -, "Rumor centrality: a universal source detector," in Proc. ACM SIGMETRICS, 2012.
4. W. Luo, W. P. Tay, and M. Leng, "Identifying infection sources and regions in large networks," IEEE Trans. Signal Processing, 2013.
5. K. Zhu and L. Ying, "Information source detection in the SIR model: a sample path based approach," in Proc. ITA Workshop, 2013.
6. N. Johnson and S. Kotz, Urn Models and Their Application: An Approach to Modern Discrete Probability Theory. John Wiley &Sons, 1977.
7. W. Dong, W. Zhang, and C. W. Tan, "Rooting out the rumor culprit from suspects," [Online] http://arxiv.org/abs/1301.6312.