activity
20172021
most citedEcho Chambers and Segregation in Social Networks: Markov Bridge Models and Estimation

1 citations · 2 across the 5 of their papers we have counts for

collaborators

10 papers

cs.SI20211 cited

Controlling Segregation in Social Network Dynamics as an Edge Formation Game

Rui Luo, Buddhika Nettasinghe, Vikram Krishnamurthy

This paper studies controlling segregation in social networks via exogenous incentives. We construct an edge formation game on a directed graph. A user (node) chooses the probabili…

physics.soc-ph2021

Emergence of Structural Inequalities in Scientific Citation Networks

Buddhika Nettasinghe, Nazanin Alipourfard, Vikram Krishnamurthy +1

Structural inequalities persist in society, conferring systematic advantages to some people at the expense of others, for example, by giving them substantially more influence and o…

cs.SI2021

A Directed, Bi-Populated Preferential Attachment Model with Applications to Analyzing the Glass Ceiling Effect

Buddhika Nettasinghe, Nazanin Alipourfard, Vikram Krishnamurthy +1

Preferential attachment, homophily and, their consequences such as the glass ceiling effect have been well-studied in the context of undirected networks. However, the lack of an in…

cs.SI20201 cited

Echo Chambers and Segregation in Social Networks: Markov Bridge Models and Estimation

Rui Luo, Buddhika Nettasinghe, Vikram Krishnamurthy

This paper deals with the modeling and estimation of the sociological phenomena called echo chambers and segregation in social networks. Specifically, we present a novel community-…

cs.SI2020

Controllability of Network Opinion in Erdos-Renyi Graphs using Sparse Control Inputs

Geethu Joseph, Buddhika Nettasinghe, Vikram Krishnamurthy +1

This paper considers a social network modeled as an Erdos Renyi random graph. Each individual in the network updates her opinion using the weighted average of the opinions of her n…

cs.SI2019

Maximum Likelihood Estimation of Power-law Degree Distributions via Friendship Paradox based Sampling

Buddhika Nettasinghe, Vikram Krishnamurthy

This paper considers the problem of estimating a power-law degree distribution of an undirected network using sampled data. Although power-law degree distributions are ubiquitous i…