Vairavan Murugappan

According to our database, Vairavan Murugappan authored at least 11 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

CIP: Community-based influence spread prediction for large-scale social networks.

Vairavan Murugappan, Pranav Pamidighantam, Suresh Subramanian, Eunice E. Santos

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.

Vairavan Murugappan, Suresh Subramanian, John Korah, Pranav Pamidighantam, Eunice E. Santos

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

2021

Analyzing Medical Guideline Dissemination Behaviors Using Culturally Infused Agent Based Modeling Framework.

Eunice E. Santos, John Korah, Suresh Subramanian, Vairavan Murugappan, Elbert S. Huang, Neda Laiteerapong, Ali Cinar

IEEE J. Biomed. Health Informatics, 2021

Memory Efficient Edge Addition Designs for Large and Dynamic Social Networks.

Eunice E. Santos, Vairavan Murugappan, John Korah

Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2021

Infusing Culture in Compartmental Epidemic Models.

Eunice E. Santos, John Korah, Suresh Subramanian, Vairavan Murugappan, Eugene Santos

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.

Eunice E. Santos, Vairavan Murugappan, John Korah

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium Workshops, 2020

2018

Modeling Social Resilience in Communities.

Eunice E. Santos, Eugene Santos, John Korah, Jeremy E. Thompson, Yan Zhao, Vairavan Murugappan, Jacob Russell

IEEE Trans. Comput. Soc. Syst., 2018

Handling Vertex Deletions in Memory Scalable Anytime Anywhere Algorithms for Large and Dynamic Social Networks.

Eunice E. Santos, John Korah, Vairavan Murugappan

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.

Eunice E. Santos, John Korah, Vairavan Murugappan, Suresh Subramanian

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.

Eunice E. Santos, John Korah, Vairavan Murugappan, Suresh Subramanian

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.

Eunice E. Santos, John Korah, Vairavan Murugappan, Suresh Subramanian

Proceedings of the 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), 2016