13 citations · 42 across the 18 of their papers we have counts for
5 papers · 1 filter
Quickest Inference of Network Cascades with Noisy Information
Anirudh Sridhar, H. Vincent Poor
We study the problem of estimating the source of a network cascade given a time series of noisy information about the spread. Initially, there is a single vertex affected by the ca…
The Role of Masks in Mitigating Viral Spread on Networks
Yurun Tian, Anirudh Sridhar, Chai Wah Wu +4
Masks have remained an important mitigation strategy in the fight against COVID-19 due to their ability to prevent the transmission of respiratory droplets between individuals. In…
Correlated Stochastic Block Models: Exact Graph Matching with Applications to Recovering Communities
Miklos Z. Racz, Anirudh Sridhar
We consider the task of learning latent community structure from multiple correlated networks. First, we study the problem of learning the latent vertex correspondence between two…
On the Accuracy of Deterministic Models for Viral Spread on Networks
Anirudh Sridhar, Soummya Kar
We consider the emergent behavior of viral spread when agents in a large population interact with each other over a contact network. When the number of agents is large and the cont…
Mean-field Approximations for Stochastic Population Processes with Heterogeneous Interactions
Anirudh Sridhar, Soummya Kar
This paper studies a general class of stochastic population processes in which agents interact with one another over a network. Agents update their behaviors in a random and decent…