181841
20190316235509.0
0031-9007
10.1103/PhysRevLett.109.068702
doi
000307381900015
ISI
ARTICLE
Locating the Source of Diffusion in Large-Scale Networks
College Pk
2012
American Physical Society
2012
5
Journal Articles
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
Pinto, Pedro
Thiran, Patrick
103925
240373
Vetterli, Martin
107537
240184
068702
Physical Review Letters
109
Publisher's version
561821
Publisher's version
http://infoscience.epfl.ch/record/181841/files/PRL.pdf
LCAV
252056
U10434
LCA3
252454
U10431
oai:infoscience.tind.io:181841
article
IC
GLOBAL_SET
206235
206235
148230
EPFL-ARTICLE-181841
EPFL
PUBLISHED
REVIEWED
ARTICLE