2 citations · 3 across the 15 of their papers we have counts for
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Whose Polarization Is It? Auditing Fairness in Network Polarization Measures
Stanisław Stępień, Michalina Janik, Akrati Saxena +1
A polarization score is supposed to describe a community, not its surroundings. Yet when a minority community is embedded in a larger network, its measured polarization can rise or…
Locally Fair PageRank: Mean-Field Approximation and One-Step Refinement
Mukesh Kumar, Gaurav Dixit, Akrati Saxena
Graph-based ranking methods such as PageRank can amplify structural disparities in networks, motivating fairness-aware ranking mechanisms for sensitive groups. Locally Fair PageRan…
Reproducibility Challenges in Computational Network Science: Evidence, Causes, and Recommendations
Akrati Saxena
Reproducibility is essential for scientific progress, enabling validation, fair comparison, and building upon prior work. In computational network science (CNS), however, reproduci…
Fairness-Aware Network Embeddings: Methods, Applications, and Challenges
Ella Has, Harshith Kumar Yadav, Gaurav Dixit +2
Network embedding methods learn low-dimensional representations of graph-structured data to support downstream tasks such as node classification, link prediction, and influence max…
Individual Fairness in Community Detection: Quantitative Measure and Comparative Evaluation
Fabrizio Corriera, Frank W. Takes, Akrati Saxena
Community detection is a fundamental task in complex network analysis. Fairness-aware community detection seeks to prevent biased node partitions, typically framed in terms of indi…
Fairness-Sensitive PageRank Approximation
Mukesh Kumar, Gaurav Dixit, Akrati Saxena
Real-world social networks have structural inequalities, including the majority and minorities, and fairness-agnostic centrality measures often amplify these inequalities by dispro…
Fairness in Opinion Dynamics
Stanisław Stępień, Michalina Janik, Mateusz Nurek +2
Ways in which people's opinions change are, without a doubt, subject to a rich tapestry of differing influences. Factors that affect how one arrives at an opinion reflect how they…
Perplexity-Homophily Index: Homophily through Diversity in Hypergraphs
Gaurav Kumar, Akrati Saxena, Chandrakala Meena
Real-world complex systems are often better modeled as hypergraphs, where edges represent group interactions involving multiple entities. Understanding and quantifying homophily (s…
Homophily in Complex Networks: Measures, Models, and Applications
Akrati Saxena, Gaurav Kumar, Chandrakala Meena
Homophily, the tendency of individuals to connect with others who share similar attributes, is a defining feature of social networks. Understanding how groups interact, both within…
Dynamics of temporal influence in polarised networks
Caroline B. Pena, David J. P. O'Sullivan, Pádraig MacCarron +1
In social networks, it is often of interest to identify the most influential users who can successfully spread information to others. This is particularly important for marketing (…
Social Media and Academia: How Gender Influences Online Scholarly Discourse
Rrubaa Panchendrarajan, Harsh Saxena, Akrati Saxena
This study investigates gender-based differences in online communication patterns of academics, focusing on how male and female academics represent themselves and how users interac…
Quantifying Group Fairness in Community Detection
Elze de Vink, Frank W. Takes, Akrati Saxena
Understanding community structures is crucial for analyzing networks, as nodes join communities that collectively shape large-scale networks. In real-world settings, the formation…
Group Fairness Metrics for Community Detection Methods in Social Networks
Elze de Vink, Akrati Saxena
Understanding community structure has played an essential role in explaining network evolution, as nodes join communities which connect further to form large-scale complex networks…
Gender differences in online communication: A case study of Soccer
Mariana Macedo, Akrati Saxena
Social media and digital platforms allow us to express our opinions freely and easily to a vast number of people. In this study, we examine whether there are gender-based differenc…