4 citations · 12 across the 11 of their papers we have counts for
7 papers · 1 filter
Unraveling Low-Dimensional Network Dynamics: A Fusion of Sparse Identification and Proper Orthogonal Decomposition
Rui Luo
This study addresses the challenge of predicting network dynamics, such as forecasting disease spread in social networks or estimating species populations in predator-prey networks…
Fréchet Statistics Based Change Point Detection in Dynamic Social Networks
Rui Luo, Vikram Krishnamurthy
This paper proposes a method to detect change points in dynamic social networks using Fréchet statistics. We address two main questions: (1) what metric can quantify the distances…
Mutual Information Measure for Glass Ceiling Effect in Preferential Attachment Models
Rui Luo, Buddhika Nettasinghe, Vikram Krishnamurthy
We propose a new way to measure inequalities such as the glass ceiling effect in attributed networks. Existing measures typically rely solely on node degree distribution or degree…
Mitigating Misinformation Spread on Blockchain Enabled Social Media Networks
Rui Luo, Vikram Krishnamurthy, Erik Blasch
The paper develops a blockchain protocol for a social media network (BE-SMN) to mitigate the spread of misinformation. BE-SMN is derived based on the information transmission-time…
Anomalous Edge Detection in Edge Exchangeable Social Network Models
Rui Luo, Buddhika Nettasinghe, Vikram Krishnamurthy
This paper studies detecting anomalous edges in directed graphs that model social networks. We exploit edge exchangeability as a criterion for distinguishing anomalous edges from n…
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…
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-…