Publications
2026
Jayalath, C., Champon, X., Rand, W., Jasser, J., Garibay, O., Garibay, I.
Data & Policy (Cambridge University Press), 8, e4
Compares targeted, community-based intervention strategies against population-wide responses for shaping information diffusion outcomes on social media.
2026
Champon, X., Staicu, A., Weishampel, A., Jayalath, C., Rand, W.
Journal of the American Statistical Association
Develops categorical-valued functional data analysis methods for latent-process estimation and clustering of social media users' behavioral trajectories.
Verification note: The CV's author list spells the fourth author "Jayalah, C." — this appears to be a typo for "Jayalath, C." and has been corrected here; confirm against the official publication. Page range is listed as "1–11" in the CV, which may be an online-first placeholder rather than final pagination — confirm before publishing citation details externally.
2026Accepted
Jayalath, C., Rand, W., Garibay, I.
Conference of the Computational Social Science Society of the Americas (CSS), Santa Fe, NM
Introduces a conformal-prediction approach to identifying plausible sets of behavioral rules in agent-based models, rather than a single point estimate.
Verification note: Listed in the CV as accepted and to be presented; confirm final proceedings metadata (page numbers, DOI) once published.
2025
Garibay, I., Barham, C., Abdidizaji, S., Jayalath, C.
Advances in Artificial Intelligence Applications in Industrial and Systems Engineering (eds. W. Karwowski, V. Duffy, G. Salvendy), pp. 355–370, Wiley
A book chapter surveying future directions and applications of artificial intelligence in industrial and systems engineering contexts.
Verification note: No DOI listed in the CV for this chapter; add if available before launch.
2024
Abdidizaji, S., Baekey, A., Jayalath, C., Mantzaris, A., Garibay, O., Garibay, I.
International Conference on Advances in Social Networks Analysis and Mining (ASONAM), pp. 124–138, Springer Nature Switzerland
Uses transfer entropy and multiplex network measures to analyze how credibility and popularity shape news-sharing dynamics on X (Twitter).
2024
Champon, X., Jayalath, C., Rand, W., Jasser, J., Garibay, I., Garibay, O.
57th Annual Hawaii International Conference on System Science (HICSS)
Applies functional data analysis methods to compare behavioral patterns across different social media communities.
2023
Jayalath, C., Gunaratne, C., Rand, W., Senevirathna, C., Garibay, I.
Advances in Complex Systems
Proposes a unified model generalizing threshold-based and probability-based approaches to information diffusion.
Verification note: The CV does not list a volume, issue, page range, or DOI for this article — confirm final bibliographic details before publishing a citation-ready reference.
2022
Garibay, O., Yousefi, N., Aslett, K., Baggio, J., Hemberg, E., Jayalath, C., Mantzaris, A., Miller, B., O'Reilly, U., Rand, W., Senevirathna, C., Garibay, I.
2022 IEEE 8th International Conference on Collaboration and Internet Computing (CIC), pp. 38–44, IEEE
Characterizes influence pathways across traditional and social media using entropy-based measures.
2021
Garibay, I., Oghaz, T., Yousefi, N., Mutlu, E., Schiappa, M., Scheinert, S., Anagnastopoulos, G., Bouwens, C., Fiore, S., Mantzaris, A., Murphy, J., Rand, W., Salter, A., Stanfill, M., Sukthankar, G., Baral, N., Fair, G., Gunaratne, C., Hajiakhoond, N., Jasser, J., Jayalath, C., Newton, O., Saadat, S., Seneviratna, C., Winter, R., Zhang, X.
Proceedings of the 2019 International Conference of The Computational Social Science Society of the Americas, pp. 153–169, Springer International Publishing
Presents the Deep Agent framework for studying the dynamics of information spread and evolution in social networks.
2021
Baral, N., Gunaratne, C., Jayalath, C., Rand, W., Senevirathna, C., Garibay, I.
Proceedings of the 2019 International Conference of The Computational Social Science Society of the Americas, pp. 265–275, Springer International Publishing
Shows that negative gradients in influence lower the information-processing capacity of social networks.
Verification note: CV lists publication year as 2021 for proceedings of the 2019 conference — preserved as given.
2021
Senevirathna, C., Gunaratne, C., Rand, W., Jayalath, C., Garibay, I.
Entropy, 23(2), 160
Characterizes behavioral influence patterns in social media cascades using entropy-based measures.
2020
Gunaratne, C., Baral, N., Rand, W., Garibay, I., Jayalath, C., Senevirathna, C.
Computational and Mathematical Organization Theory, 26, 255–276
Examines how information overload affects the dynamics of online conversations.
2020
Jayalath, C., Gunaratne, C., Rand, W., Senevirathna, C., Garibay, I.
Tenth International Conference on Complex Systems (poster session)
Poster examining the final states reached by information diffusion processes on directed scale-free networks.
2019
Gunaratne, C., Baral, N., Rand, W., Garibay, I., Jayalath, C., Senevirathna, C.
arXiv preprint
Proposes a theory of extended working memory to explain patterns in online conversation dynamics.
2019
Senevirathna, C., Gunaratne, C., Jayalath, C., Baral, N., Garibay, I.
Computational Social Science Society of the Americas (CSSSA), Santa Fe, NM
Presents evidence of influence hierarchies among participants in GitHub's cryptocurrency community.
2019
Gunaratne, C., Senevirathna, C., Jayalath, C., Baral, N., Rand, W., Garibay, I.
5th International Conference on Computational Social Science
Introduces the Multi-Action Cascade Model (MACM), in which each action type exerts a distinct influence on the receiver — the founding publication behind the DARPA SocialSim simulation work.
2019
Senevirathna, C., Gunaratne, C., Jayalath, C., Baral, N., Garibay, I.
Conference of the Computational Social Science Society of the Americas (CSS), Santa Fe, NM (poster session)
Poster examining hidden patterns in influence hierarchies within GitHub's cryptocurrency community.
2019
Jayalath, C., Gunaratne, C., Senevirathna, C., Garibay, I.
5th International Conference on Computational Social Science, Amsterdam, NL (poster session)
Poster establishing a path-dependent equivalence between the Independent Cascade Model and the Linear Threshold Model of diffusion.
2016
Jayalath, C., Wimalaratne, P., Karunananda, A.
International Journal of Simulation Modelling, 15(4), 585–596
Models goal selection for characters in primary groups within agent-based crowd simulations, from Chathura's undergraduate honours research.
Verification note: Originally published under the byline "Jayalath, D. D. A. C. J."; displayed here under the current public name per site convention. The CV's DOI string ("10.2507/ijsimm 15(4)1.323") renders with a ligature artifact and irregular spacing — confirm the correct DOI before adding a live DOI link.
—In preparation
Jayalath, C., Rand, W., Garibay, I.
In preparation
Applies conformal prediction to certify plausible behavioral rule sets in agent-based models of residential segregation.
—In preparation
Jayalath, C., Champon, X., Rand, W., Senevirathna, C., Garibay, I.
In preparation
Quantifies how network clustering coefficient affects outcomes of information diffusion models.
Verification note: The CV lists this same title both as a manuscript "in preparation" and, under Conference Presentations, as presented in 2019 at CSS Santa Fe (with a URL pointing to the 2023 CSS conference page). It's unclear from the CV whether the presentation and the in-preparation manuscript are the same work at different stages, or whether one of the dates/URLs is a typo — confirm before publishing both a talk listing and a publication listing for this title.
—In preparation
Jayalath, C., Champon, X., Dicky, D., Rand, W., Garibay, I.
In preparation
Investigates how the growth patterns of information cascades relate to the stability of an influencer's position over time.
No publications match the selected filters.