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Cited by 409

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Locating the Source of Diffusion in Large-Scale Networks

Open access
Pinto, Pedro C., Thiran, Patrick, Vetterli, Martin·2012·Physical Review Letters

Abstract

How can we localize the source of diffusion in a complex network? Because of the tremendous size of many real networks-such as the internet or the human social graph-it is usually unfeasible 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(α)), where α=1 for arbitrary trees and α=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.

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Metadata

Authors
Pinto, P. C., Thiran, P., & Vetterli, M.
Venue
Physical Review Letters
Published
2012-08-10
Volume
109
Issue
6
Pages
068702-068702
ISSN
  • 0031-9007 (ISSN-L)
  • 1079-7114
OpenAlex
W2130466555
Cited by
409
References
3
FWCI
17.52
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Locating the Source of Diffusion in Large-Scale Networks. https://app.cochat.ai/papers/10.1103/physrevlett.109.068702
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Pinto, P. C., Thiran, P., & Vetterli, M. (2012). Locating the Source of Diffusion in Large-Scale Networks. Physical Review Letters. https://doi.org/10.1103/physrevlett.109.068702

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.