14 citations · 74 across the 22 of their papers we have counts for
24 papers
LLMs for Social Network Modeling: From Network Generation to Dynamic Processes
Shikha Mallick, Alex Thomo, Akrati Saxena
Large language models (LLMs) are rapidly emerging as a new paradigm for modeling social networks by representing users and their relationships and interactions through natural lang…
Heterophily-Based Graph Neural Network for Imbalanced Classification
Zirui Liang, Yuntao Li, Tianjin Huang +3
Graph neural networks (GNNs) have shown promise in addressing graph-related problems, including node classification. However, conventional GNNs assume an even distribution of data…
DCC: A Cascade based Approach to Detect Communities in Social Networks
Soumita Das, Anupam Biswas, Akrati Saxena
Community detection in Social Networks is associated with finding and grouping the most similar nodes inherent in the network. These similar nodes are identified by computing tie s…
FAL-CUR: Fair Active Learning using Uncertainty and Representativeness on Fair Clustering
Ricky Fajri, Akrati Saxena, Yulong Pei +1
Active Learning (AL) techniques have proven to be highly effective in reducing data labeling costs across a range of machine learning tasks. Nevertheless, one known challenge of th…
FairSNA: Algorithmic Fairness in Social Network Analysis
Akrati Saxena, George Fletcher, Mykola Pechenizkiy
In recent years, designing fairness-aware methods has received much attention in various domains, including machine learning, natural language processing, and information retrieval…
Survey on Fair Reinforcement Learning: Theory and Practice
Pratik Gajane, Akrati Saxena, Maryam Tavakol +2
Fairness-aware learning aims at satisfying various fairness constraints in addition to the usual performance criteria via data-driven machine learning techniques. Most of the resea…
A Bi-level assessment of Twitter in predicting the results of an election: Delhi Assembly Elections 2020
Maneet Singh, S. R. S. Iyengar, Akrati Saxena +1
Elections are the backbone of any democratic country, where voters elect the candidates as their representatives. The emergence of social networking sites has provided a platform f…
A Network Science Perspective to Personalized Learning
Ralucca Gera, Akrati Saxena, D'Marie Bartolf +1
The modern educational ecosystem is not one-size fits all. Scholars are accustomed to personalization in their everyday life and expect the same from education systems. Additionall…
The Banking Transactions Dataset and its Comparative Analysis with Scale-free Networks
Akrati Saxena, Yulong Pei, Jan Veldsink +3
We construct a network of 1.6 million nodes from banking transactions of users of Rabobank. We assign two weights on each edge, which are the aggregate transferred amount and the t…
How Fair is Fairness-aware Representative Ranking and Methods for Fair Ranking
Akrati Saxena, George Fletcher, Mykola Pechenizkiy
Rankings of people and items has been highly used in selection-making, match-making, and recommendation algorithms that have been deployed on ranging of platforms from employment w…
NodeSim: Node Similarity based Network Embedding for Diverse Link Prediction
Akrati Saxena, George Fletcher, Mykola Pechenizkiy
In real-world complex networks, understanding the dynamics of their evolution has been of great interest to the scientific community. Predicting future links is an essential task o…
A Survey of Evolving Models for Weighted Complex Networks based on their Dynamics and Evolution
Akrati Saxena
For decades, complex networks, such as social networks, biological networks, chemical networks, technological networks, have been used to study the evolution and dynamics of differ…
Centrality Measures in Complex Networks: A Survey
Akrati Saxena, Sudarshan Iyengar
In complex networks, each node has some unique characteristics that define the importance of the node based on the given application-specific context. These characteristics can be…
Competitive Influence Propagation and Fake News Mitigation in the Presence of Strong User Bias
Akrati Saxena, Harsh Saxena, Ralucca Gera
Due to the extensive role of social networks in social media, it is easy for people to share the news, and it spreads faster than ever before. These platforms also have been exploi…
A Survey on Studying the Social Networks of Students
Akrati Saxena, Pratishtha Saxena, Harita Reddy +1
Do studies show that physical and online students' social networks support education? Analyzing interactions between students in schools and universities can provide a wealth of in…
Estimating Shell-Index in a Graph with Local Information
Akrati Saxena, S. R. S. Iyengar
For network scientists, it has always been an interesting problem to identify the influential nodes in a given network. The k-shell decomposition method is a widely used method whi…
Global Rank Estimation
Akrati Saxena, S. R. S. Iyengar
In real world complex networks, the importance of a node depends on two important parameters: 1. characteristics of the node, and 2. the context of the given application. The curre…
Degree Ranking Using Local Information
Akrati Saxena, Ralucca Gera, S. R. S. Iyengar
Most real world dynamic networks are evolved very fast with time. It is not feasible to collect the entire network at any given time to study its characteristics. This creates the…
A Faster Method to Estimate Closeness Centrality Ranking
Akrati Saxena, Ralucca Gera, S. R. S. Iyengar
Closeness centrality is one way of measuring how central a node is in the given network. The closeness centrality measure assigns a centrality value to each node based on its acces…
Social Network Analysis of the Caste-Based Reservation System in India
Akrati Saxena, Jaspal Singh Saini, Yayati Gupta +3
It has been argued that the reservation system in India, which has existed since the time of Indian Independence (1947), has caused more havoc and degradation than progress. This b…
Evolving Models for Meso-Scale Structures
Akrati Saxena, S. R. S. Iyengar
Real world complex networks are scale free and possess meso-scale properties like core-periphery and community structure. We study evolution of the core over time in real world net…
Rank me thou shalln't Compare me
Akrati Saxena, Vaibhav Malik, S. R. S. Iyengar
Centrality measures have been defined to quantify the importance of a node in complex networks. The relative importance of a node can be measured using its centrality rank based on…
Estimating the Degree Centrality Ranking of a Node
Akrati Saxena, Vaibhav Malik, S. R. S. Iyengar
Complex networks have gained more attention from the last few years. The size of real-world complex networks, such as online social networks, WWW network, collaboration networks, i…
Modeling Memetics using Edge Diversity
Yayati Gupta, Akrati Saxena, Debarati Das +1
The study of meme propagation and the prediction of meme trajectory are emerging areas of interest in the field of complex networks research. In addition to the properties of the m…