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20102023
most citedFriendship Paradox Biases Perceptions in Directed Networks

44 citations · 364 across the 85 of their papers we have counts for

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Showing 2018Show all

6 papers · 1 filter

cs.LG2018

Estimating Rationally Inattentive Utility Functions with Deep Clustering for Framing - Applications in YouTube Engagement Dynamics

William Hoiles, Vikram Krishnamurthy

We consider a framework involving behavioral economics and machine learning. Rationally inattentive Bayesian agents make decisions based on their posterior distribution, utility fu…

cs.SI2018

Information Diffusion in Social Networks: Friendship Paradox based Models and Statistical Inference

Vikram Krishnamurthy, Buddhika Nettasinghe

Dynamic models and statistical inference for the diffusion of information in social networks is an area which has witnessed remarkable progress in the last decade due to the prolif…

cs.SI2018★ 1 cited

Contagions in Social Networks: Effects of Monophilic Contagion, Friendship Paradox and Reactive Networks

Buddhika Nettasinghe, Vikram Krishnamurthy, Kristina Lerman

We consider SIS contagion processes over networks where, a classical assumption is that individuals' decisions to adopt a contagion are based on their immediate neighbors. However,…

cs.SI2018

Adaptive Polling in Hierarchical Social Networks using Blackwell Dominance

Sujay Bhatt, Vikram Krishnamurthy

Consider a population of individuals that observe an underlying state of nature that evolves over time. The population is classified into different levels depending on the hierarch…

eess.SY2018

New Sufficient Conditions for Lower Bounding the Optimal Policy of a POMDP using Lehmann Precision

Vikram Krishnamurthy

This paper provides new sufficient conditions so that the optimal policy of a partially observed Markov decision process (POMDP) can be lower bounded by a myopic policy. The two ne…

cs.SI2018★ 24 cited

What Do Your Friends Think? Efficient Polling Methods for Networks Using Friendship Paradox

Buddhika Nettasinghe, Vikram Krishnamurthy

This paper deals with randomized polling of a social network. In the case of forecasting the outcome of an election between two candidates A and B, classical intent polling asks ra…