A two-stage algorithm to estimate the source of information diffusion in social media networks

We study the important problem of source localization in the context of information spreads in large social networks. Specifically, we design a Maximum-Likelihood source localization algorithm that is especially suited to large social networks. Our proposed algorithm requires about 3% fewer sensor nodes than other single stage algorithms for the same level of accuracy in detection. For practical social networks, which are typically large, this translates to a significantly fewer number of sensor nodes.

[1]  Devavrat Shah,et al.  Rumors in a Network: Who's the Culprit? , 2009, IEEE Transactions on Information Theory.

[2]  Chee Wei Tan,et al.  Rooting out the rumor culprit from suspects , 2013, 2013 IEEE International Symposium on Information Theory.

[3]  Lei Ying,et al.  Information source detection in the SIR model: A sample path based approach , 2012, 2013 Information Theory and Applications Workshop (ITA).

[4]  Krishna P. Gummadi,et al.  A measurement-driven analysis of information propagation in the flickr social network , 2009, WWW '09.

[5]  Mark E. J. Newman,et al.  The Structure and Function of Complex Networks , 2003, SIAM Rev..

[6]  L. D. Costa,et al.  Identifying the starting point of a spreading process in complex networks. , 2010, Physical review. E, Statistical, nonlinear, and soft matter physics.

[7]  Devavrat Shah,et al.  Rumor centrality: a universal source detector , 2012, SIGMETRICS '12.

[8]  W. O. Kermack,et al.  A contribution to the mathematical theory of epidemics , 1927 .

[9]  Martin Vetterli,et al.  Locating the Source of Diffusion in Large-Scale Networks , 2012, Physical review letters.

[10]  Mark S. Squillante,et al.  Proceedings of the ACM SIGMETRICS international conference on Measurement and modeling of computer systems , 2010, SIGMETRICS 2010.

[11]  Chris Volinsky,et al.  Network-Based Marketing: Identifying Likely Adopters Via Consumer Networks , 2006, math/0606278.

[12]  Wuqiong Luo,et al.  Identifying multiple infection sources in a network , 2012, 2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR).

[13]  Hawoong Jeong,et al.  Statistical properties of sampled networks. , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.

[14]  Devavrat Shah,et al.  Detecting sources of computer viruses in networks: theory and experiment , 2010, SIGMETRICS '10.

[15]  Christos Faloutsos,et al.  Spotting Culprits in Epidemics: How Many and Which Ones? , 2012, 2012 IEEE 12th International Conference on Data Mining.

[16]  M. Jackson,et al.  Diffusion of Behavior and Equilibrium Properties in Network Games , 2007 .

[17]  M E J Newman,et al.  Fast algorithm for detecting community structure in networks. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.