Jun 1, 2010 · We tackle these challenges by developing a method for tracing paths of diffusion and influence through networks and inferring the networks over which ...

We tackle these challenges by developing a method for tracing paths of diffusion and influence through networks and inferring the networks over which ...

We develop NETINF, a scalable algorithm for inferring networks of diffusion and influence. We first formulate a generative probabilistic model of how, on a ...

We tackle these challenges by developing a method for tracing paths of diffusion and influence through networks and inferring the networks over which ...

Here we develop NETINF, a scalable algorithm for inferring net- works of diffusion and influence. We first formulate a generative probabilistic model of how, on ...

Information diffusion and virus propagation are fundamental processes taking place in networks. While it is often possible to directly observe when nodes ...

This work develops an efficient approximation algorithm that scales to large datasets and in practice gives provably near-optimal performance and identifies ...

Inferring Networks of Diffusion and Influence. Mendeley · CSV · RIS · BibTeX ; Author. Gomez-Rodriguez, Manuel · Leskovec, Jure · Krause, Andreas ; Date. 2012-02.

Given information diffusion data, we infer the edges and dynamics of the underlying network. Our model naturally imposes sparse solutions and requires no ...

Abstract— Information diffusion is a fundamental process that takes place over networks. While it is rarely realistic to.