The LNM Institute of Information Technology

Nirmal Kumar Sivaraman

nirmal.sivaraman@lnmiit.ac.in

Date of joining:

Department:

Computer Science and Engineering

Summary

Works in social network analysis.

Biography

Research Area

Data Science, Social Network Analysis, Information Diffusion

Personal information

Name

Designation

Department

ORCID

Scopus_link

Website

Dr. Nirmal Kumar Sivaraman

Assistant Professor

Computer Science and Engineering

Education

	Degree/Diploma	Institute/ Organization	Year	Branch/Specialization
1	Ph. D. Doctor of Philosophy	LNMIIT	2024	CSE
2	M.S. Master of Science	IIIT - Bangalore	2016	Information Technology

Experience

	Name of Organization	Post/Designation	Duration From	Duration To
1	Infosys Limited	Senior Member - Education and Research	2008	2016

Publications

1	Sivaraman, N. K., Baijal, S., & Muthiah, S. B., On the Usage of Epidemiologial Models to Model Information Diffusion Over Twitter, Social Network Analysis and Mining, May 2023
2	Sivaraman NK, Gaur M, Baijal S, Muthiah SB, Sheth A. , Exo-SIR: an epidemiological model to analyze the impact of exogenous spread of infection, International Journal of Data Science and Analytics, June 2022
3	Sivaraman, N. K., Tokala, J. R., Rupesh, R. S. C. V., & Muthiah, S. B, Event Detection in Twitter using Social Synchrony and Average Number of Common Friends. In 13th ACM Web Science Conference 2021 (pp. 115-119). JUN 2021, Event Detection in Twitter using Social Synchrony and Average Number of Common Friends. In 13th ACM Web Science Conference 2021 (pp. 115-119). JUN 2021 , June 2021
4	Sivaraman, N, Exo-SIR: An Epidemiological Model to Quantify the Exogenous Information Diffusion and its Application to Detect Events. In 13th ACM Web Science Conference 2021 (pp. 145-146). JUN 2021, Exo-SIR: An Epidemiological Model to Quantify the Exogenous Information Diffusion and its Application to Detect Events. In 13th ACM Web Science Conference 2021 (pp. 145-146). JUN 2021, June 2021
5	Sivaraman N.K., Agarwal V., Vekaria Y., Muthiah S.B. , A Metadata-Based Event Detection Method Using Temporal Herding Factor and Social Synchrony on Twitter Data. In: Cherfi S., Perini A., Nurcan S. (eds) Research Challenges in Information Science. RCIS 2021. Lecture Notes in Business Information Processing, vol 415. Springer, Cham. MAY 2021, A Metadata-Based Event Detection Method Using Temporal Herding Factor and Social Synchrony on Twitter Data. In: Cherfi S., Perini A., Nurcan S. (eds) Research Challenges in Information Science. RCIS 2021. Lecture Notes in Business Information Processing, vol 415. Springer, Cham. MAY 2021, May 2021
6	Sivaraman, N. K., Muthiah, S. B., Agarwal, P., & Todwal, L., Social synchrony in online social networks and its application in event detection from twitter data., Social synchrony in online social networks and its application in event detection from twitter data. In 2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) (pp. 451-456). IEEE. DEC 2020 , December 2020
7	Nirmal Kumar Sivaraman, Sakthi Balan Muthiah, Pushkal Agarwal, and Lokesh Todwal, On Social Synchrony in Online Social Networks. In Proceedings of the 2017 ACM Web Science Conference. ACM, New York, NY, USA JUN 2017, On Social Synchrony in Online Social Networks. In Proceedings of the 2017 ACM Web Science Conference. ACM, New York, NY, USA JUN 2017 , June 2017
8	Nirmal Kumar S and Srinath Srinivasa, Abstractions, expressions and online collectives. In Proceedings of ACM Web Science 2015, Oxford University, UK, June 2015. JUN 2015, Abstractions, expressions and online collectives. In Proceedings of ACM Web Science 2015, Oxford University, UK, June 2015. JUN 2015 , June 2015
9	Nirmal Kumar S, Sakthi Balan M, and Subrahmanya SV, An event-response model inspired by emotional behaviors. In Brain Informatics (sponsored by Web Intelligence Consortium), pages 88-97. Springer, 2011. SEPT 2011, An event-response model inspired by emotional behaviors. In Brain Informatics (sponsored by Web Intelligence Consortium), pages 88-97. Springer, 2011. SEPT 2011 , September 2011