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Structure and dynamics of information pathways in online media

Gomez Rodriguez, Manuel, Leskovec, Jure, Schölkopf, Bernhard·2013·Proceedings of the sixth ACM international conference on Web search and data mining

Abstract

Diffusion of information, spread of rumors and infectious diseases are all instances of stochastic processes that occur over the edges of an underlying network. Many times networks over which contagions spread are unobserved, and such networks are often dynamic and change over time. In this paper, we investigate the problem of inferring dynamic networks based on information diffusion data. We assume there is an unobserved dynamic network that changes over time, while we observe the results of a dynamic process spreading over the edges of the network. The task then is to infer the edges and the dynamics of the underlying network.

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Metadata

Authors
Gomez Rodriguez, M., Leskovec, J., & Schölkopf, B.
Venue
Proceedings of the sixth ACM international conference on Web search and data mining
Publisher
ACM
Published
2013-02-04
Pages
23-32
OpenAlex
W2128914432
Cited by
271
References
1
FWCI
35.30
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Structure and dynamics of information pathways in online media. https://app.cochat.ai/papers/10.1145/2433396.2433402
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Gomez Rodriguez, M., Leskovec, J., & Schölkopf, B. (2013). Structure and dynamics of information pathways in online media. Proceedings of the sixth ACM international conference on Web search and data mining. https://doi.org/10.1145/2433396.2433402

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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.