44 citations · 95 across the 22 of their papers we have counts for
22 papers
The Tilted Playing Field for Women in Science
Casandra Rusti, Hussain Hussain, Kian Ahrabian +4
Institutional prestige shapes access to resources, visibility, and collaboration opportunities in science. Yet whether prestige benefits researchers equally, and how it relates to…
Affective Polarization on Small-World and Scale-Free Networks
Alisson Serracín Morales, Buddhika Nettasinghe
Affective polarization, the emotional divide characterized by in-group love (trust towards fellow partisans) and out-group hate (mistrust towards those with opposite political view…
As Language Models Scale, Low-order Linear Depth Dynamics Emerge
Buddhika Nettasinghe, Geethu Joseph
Large language models are often viewed as high-dimensional nonlinear systems and treated as black boxes. Here, we show that transformer depth dynamics admit accurate low-order line…
Dynamics of Human-AI Collective Knowledge on the Web: A Scalable Model and Insights for Sustainable Growth
Buddhika Nettasinghe, Kang Zhao
Humans and large language models (LLMs) now co-produce and co-consume the web's shared knowledge archives. Such human-AI collective knowledge ecosystems contain feedback loops with…
Emergence of Structural Disparities in the Web of Scientific Citations
Buddhika Nettasinghe, Nazanin Alipourfard, Vikram Krishnamurthy +1
Scientific attention is unevenly distributed, creating inequities in recognition and distorting access to opportunities. Using citations as a proxy, we quantify disparities in atte…
In-Group Love, Out-Group Hate: A Framework to Measure Affective Polarization via Contentious Online Discussions
Buddhika Nettasinghe, Ashwin Rao, Bohan Jiang +2
Affective polarization, the emotional divide between ideological groups marked by in-group love and out-group hate, has intensified in the United States, driving contentious issues…
Dynamics of Affective Polarization: From Consensus to Partisan Divides
Buddhika Nettasinghe, Allon G. Percus, Kristina Lerman
Politically divided societies are also often divided emotionally: people like and trust those with similar political views (in-group favoritism) while disliking and distrusting tho…
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…
Extending Conformal Prediction to Hidden Markov Models with Exact Validity via de Finetti's Theorem for Markov Chains
Buddhika Nettasinghe, Samrat Chatterjee, Ramakrishna Tipireddy +1
Conformal prediction is a widely used method to quantify the uncertainty of a classifier under the assumption of exchangeability (e.g., IID data). We generalize conformal predictio…
Estimating Exposure to Information on Social Networks
Buddhika Nettasinghe, Kowe Kadoma, Mor Naaman +1
This paper considers the problem of estimating exposure to information in a social network. Given a piece of information (e.g., a URL of a news article on Facebook, a hashtag on Tw…
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…
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…
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…
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-…
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…
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…
Friendship Paradox Biases Perceptions in Directed Networks
Nazanin Alipourfard, Buddhika Nettasinghe, Andres Abeliuk +2
How popular a topic or an opinion appears to be in a network can be very different from its actual popularity. For example, in an online network of a social media platform, the num…
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…
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,…
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…
Influence Maximization over Markovian Graphs: A Stochastic Optimization Approach
Buddhika Nettasinghe, Vikram Krishnamurthy
This paper considers the problem of randomized influence maximization over a Markovian graph process: given a fixed set of nodes whose connectivity graph is evolving as a Markov ch…