Sameera Horawalavithana

Orcid: 0000-0002-0327-3819

According to our database1, Sameera Horawalavithana authored at least 27 papers between 2017 and 2023.

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

Timeline

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Bibliography

2023
Vaccination trials on hold: malicious and low credibility content on Twitter during the AstraZeneca COVID-19 vaccine development.
Comput. Math. Organ. Theory, September, 2023

ATLANTIC: Structure-Aware Retrieval-Augmented Language Model for Interdisciplinary Science.
CoRR, 2023

Empirical evaluation of Uncertainty Quantification in Retrieval-Augmented Language Models for Science.
CoRR, 2023

Evaluating the Effectiveness of Retrieval-Augmented Large Language Models in Scientific Document Reasoning.
CoRR, 2023

NuclearQA: A Human-Made Benchmark for Language Models for the Nuclear Domain.
CoRR, 2023

Anticipating Technical Expertise and Capability Evolution in Research Communities using Dynamic Graph Transformers.
CoRR, 2023

SCITUNE: Aligning Large Language Models with Scientific Multimodal Instructions.
CoRR, 2023

2022
Social media activity forecasting with exogenous and endogenous signals.
Soc. Netw. Anal. Min., 2022

EXPERT: Public Benchmarks for Dynamic Heterogeneous Academic Graphs.
CoRR, 2022

Online discussion threads as conversation pools: predicting the growth of discussion threads on reddit.
Comput. Math. Organ. Theory, 2022

2021
Social-Media Activity Forecasting with Exogenous Information Signals.
CoRR, 2021

Malicious and Low Credibility URLs on Twitter during COVID-19.
CoRR, 2021

Drivers of Polarized Discussions on Twitter during Venezuela Political Crisis.
Proceedings of the WebSci '21: 13th ACM Web Science Conference 2021, 2021

Malicious and Low Credibility URLs on Twitter During the AstraZeneca COVID-19 Vaccine Development.
Proceedings of the Social, Cultural, and Behavioral Modeling, 2021

Multi-platform Information Operations: Twitter, Facebook and YouTube against the White Helmets.
Proceedings of the Workshop Proceedings of the 15th International AAAI Conference on Web and Social Media, 2021

Forecasting topic activity with exogenous and endogenous information signals in Twitter.
Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021

2020
Cascade-LSTM: Predicting Information Cascades using Deep Neural Networks.
CoRR, 2020

Twitter Is the Megaphone of Cross-platform Messaging on the White Helmets.
Proceedings of the Social, Cultural, and Behavioral Modeling, 2020

2019
Behind the Mask: Understanding the Structural Forces That Make Social Graphs Vulnerable to Deanonymization.
IEEE Trans. Comput. Soc. Syst., 2019

Temporal Mobility Networks in Online Gaming.
Frontiers Big Data, 2019

On the Privacy of dK-Random Graphs.
CoRR, 2019

The risk of node re-identification in labeled social graphs.
Appl. Netw. Sci., 2019

Mentions of Security Vulnerabilities on Reddit, Twitter and GitHub.
Proceedings of the 2019 IEEE/WIC/ACM International Conference on Web Intelligence, 2019

Predicting Longitudinal User Activity at Fine Time Granularity in Online Collaborative Platforms.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

2018
Diversity, Topology, and the Risk of Node Re-identification in Labeled Social Graphs.
CoRR, 2018

Diversity, Homophily and the Risk of Node Re-identification in Labeled Social Graphs.
Proceedings of the Complex Networks and Their Applications VII, 2018

2017
An Empirical Study on Team Formation in Online Games.
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017


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