Pinto, Pedro
Thiran, Patrick
Vetterli, Martin
Locating the Source of Diffusion in Large-Scale Networks
Physical Review Letters
0031-9007
10.1103/PhysRevLett.109.068702
109
068702
5
How can we localize the source of diffusion in a complex network? Due to the tremendous size of many real networks---such as the Internet or the human social graph---it is usually infeasible to observe the state of all nodes in a network. We show that it is fundamentally possible to estimate the location of the source from measurements collected by sparsely-placed observers. We present a strategy that is optimal for arbitrary trees, achieving maximum probability of correct localization. We describe efficient implementations with complexity O(N^{\alpha}) , where \alpha=1 for arbitrary trees, and \alpha=3 for arbitrary graphs. In the context of several case studies, we determine how localization accuracy is affected by various system parameters, including the structure of the network, the density of observers, and the number of observed cascades.
source, localization, networks, diffusion, graphs;
American Physical Society
College Pk
2012
http://infoscience.epfl.ch/record/181841/files/PRL.pdf;