Vairavan Murugappan

Orcid: 0000-0003-1107-1683

According to our database1, Vairavan Murugappan authored at least 12 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Socio-Behavioral Influences in Epidemic Modeling: Towards a Unified Framework.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

2023
CIP: Community-based influence spread prediction for large-scale social networks.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

2022
Effect of Community-based Opinion Leaders on Guideline Dissemination in Large-Scale Physician Networks.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

2021
Analyzing Medical Guideline Dissemination Behaviors Using Culturally Infused Agent Based Modeling Framework.
IEEE J. Biomed. Health Informatics, 2021

Memory Efficient Edge Addition Designs for Large and Dynamic Social Networks.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2021

Infusing Culture in Compartmental Epidemic Models.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021

2020
New Approaches for Performance Optimization and Analysis of Large-Scale Dynamic Social Network Analysis using Anytime Anywhere Algorithms.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium Workshops, 2020

2018
Modeling Social Resilience in Communities.
IEEE Trans. Comput. Soc. Syst., 2018

Handling Vertex Deletions in Memory Scalable Anytime Anywhere Algorithms for Large and Dynamic Social Networks.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018

2017
Efficient Anytime Anywhere Algorithms for Vertex Additions in Large and Dynamic Graphs.
Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017

2016
Efficient Anytime Anywhere Algorithms for Closeness Centrality in Large and Dynamic Graphs.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

Effectively Handling New Relationship Formations in Closeness Centrality Analysis of Social Networks Using Anytime Anywhere Methodology.
Proceedings of the 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), 2016


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