4 citations · 12 across the 11 of their papers we have counts for
11 papers
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…
Detecting Structural Shifts in Multivariate Hawkes Processes with Fréchet Statistics
Rui Luo, Vikram Krishnamurthy
This paper proposes a new approach for change point detection in multivariate Hawkes processes using Fréchet statistic of a network. The method splits the point process into overla…
Who You Play Affects How You Play: Predicting Sports Performance Using Graph Attention Networks With Temporal Convolution
Rui Luo, Vikram Krishnamurthy
This study presents a novel deep learning method, called GATv2-GCN, for predicting player performance in sports. To construct a dynamic player interaction graph, we leverage player…
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…
DAGKT: Difficulty and Attempts Boosted Graph-based Knowledge Tracing
Rui Luo, Fei Liu, Wenhao Liang +3
In the field of intelligent education, knowledge tracing (KT) has attracted increasing attention, which estimates and traces students' mastery of knowledge concepts to provide high…
Hawkes Process Modeling of Block Arrivals in Bitcoin Blockchain
Rui Luo, Vikram Krishnamurthy, Erik Blasch
The paper constructs a multi-variate Hawkes process model of Bitcoin block arrivals and price jumps. Hawkes processes are selfexciting point processes that can capture the self- an…
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-…