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20132026
most citedVoter and Majority Dynamics with Biased and Stubborn Agents

20 citations · 52 across the 19 of their papers we have counts for

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math.PR2026

Scaling Laws for Majority-based Opinion Dynamics in the Presence of Stubborn Agents

Luke Meredith, Arpan Mukhopadhyay

In a multi-agent system, there are often stubborn followers of specific opinions or beliefs. Motivated by this observation, in this paper, we aim to understand how stubborn agents…

math.PR2026

Load Balancing with Individually Heterogeneous Servers

Burak Büke, Arpan Mukhopadhyay, Özge Tekin

In this paper, we analyze the diffusion limit of Join-the-Shortest-Queue (JSQ) load balancing policies for a system with many parallel queues where each queue is being served by a…

math.PR2026

Robustness of the 2-Choices Dynamics to Node Failures

Luke Meredith, Arpan Mukhopadhyay

In many applications, it becomes necessary for a set of distributed network nodes to agree on a common value or opinion as quickly as possible and with minimal communication overhe…

math.PR2023

Asymptotic Optimality of the Speed-Aware Join-the-Shortest-Queue in the Halfin-Whitt Regime for Heterogeneous Systems

Sanidhay Bhambay, Burak Büke, Arpan Mukhopadhyay

The Join-the-Shortest-Queue (JSQ) load balancing scheme is known to minimise the average response time of jobs in homogeneous systems with identical servers. However, for {\em hete…

math.PR2023

On the Performance of Large Loss Systems with Adaptive Multiserver Jobs

Samira Ghanbarian, Arpan Mukhopadhyay, Fabrice M. Guillemin +1

In this paper, we study systems where each job or request can be split into a flexible number of sub-jobs up to a maximum limit. The number of sub-jobs a job is split into depends…

math.PR2023

The Power of Two Choices with Load Comparison Errors

Sanidhay Bhambay, Arpan Mukhopadhyay, Thirupathaiah Vasantam

In this paper, we analyze the effects of erroneous load comparisons on the performance of the Po2 scheme. Specifically, we consider load-dependent and load-independent errors. In t…

math.PR2023

Biased Consensus Dynamics on Regular Expander Graphs

Oindrila Deb, Arpan Mukhopadhyay

Consensus protocols play an important role in the study of distributed algorithms. In this paper, we study the effect of bias on two popular consensus protocols, namely, the {\em v…

math.PR2022★ 3 cited

Phase Transitions in Biased Opinion Dynamics with 2-choices Rule

Arpan Mukhopadhyay

We consider a model of binary opinion dynamics where one opinion is inherently 'superior' than the other and social agents exhibit a 'bias' towards the superior alternative. Specif…

math.PR2022

A Model of Job Parallelism for Latency Reduction in Large-Scale Systems

Ayalvadi Ganesh, Arpan Mukhopadhyay

Processing computation-intensive jobs at multiple processing cores in parallel is essential in many real-world applications. In this paper, we consider an idealised model for job p…

math.PR2022★ 1 cited

Asymptotic Optimality of Speed-Aware JSQ for Heterogeneous Systems

Sanidhay Bhambay, Arpan Mukhopadhyay

The Join-the-Shortest-Queue (JSQ) load-balancing scheme is known to minimise the average delay of jobs in homogeneous systems consisting of identical servers. However, it performs…

math.PR2020★ 20 cited

Voter and Majority Dynamics with Biased and Stubborn Agents

Arpan Mukhopadhyay, Ravi R. Mazumdar, Rahul Roy

We study binary opinion dynamics in a fully connected network of interacting agents. The agents are assumed to interact according to one of the following rules: (1) Voter rule: An…