Comparing community-based interventions versus population-wide response in information diffusion on social media platforms

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.

• Information Diffusion
• ·
• Agent-Based Modeling
• ·
• Network Analysis

Clustering Social Media Users Using Categorical-Valued Functional Data Analysis

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.

• DOI ↗

• Functional Data Analysis
• ·
• Categorical Data
• ·
• Clustering

Measuring Equifinality: Conformal Rule Identification in Agent-Based Models

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.

• Conformal Prediction
• ·
• Agent-Based Models
• ·
• Equifinality

Future Directions and Applications of Artificial Intelligence

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.

• Artificial Intelligence

Analyzing X's Web of Influence: Dissecting News Sharing Dynamics Through Credibility and Popularity with Transfer Entropy and Multiplex Network Measures

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).

• Transfer Entropy
• ·
• Network Analysis

Comparing Social Media Communities using Functional Data Analysis

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.

• Functional Data Analysis

A Generalization of Threshold-based and Probability-based Models of Information Diffusion

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.

• Information Diffusion
• ·
• Agent-Based Modeling

Entropy-Based Characterization of Influence Pathways in Traditional and Social Media

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.

• Transfer Entropy

Deep agent: Studying the dynamics of information spread and evolution in social networks

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.

• Agent-Based Modeling

Negative influence gradients lead to lowered information processing capacity on social networks

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.

• Agent-Based Modeling
• ·
• Information Diffusion

Influence Cascades: Entropy-Based Characterization of Behavioral Influence Patterns in Social Media

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.

• DOI ↗

• Transfer Entropy

The effects of information overload on online conversation dynamics

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.

• Agent-Based Modeling

Final States of Information Diffusion on Directed Scale-Free Networks

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.

• Paper ↗

• Network Analysis
• ·
• Information Diffusion

A theory of extended working memory and its role in online conversation dynamics

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.

• Paper ↗

• Agent-Based Modeling

Evidence of influence hierarchies in Github's cryptocurrency community

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.

• Network Analysis

A multi-action cascade model of conversation

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.

• Paper ↗

• Agent-Based Modeling
• ·
• Information Diffusion

Hidden Patterns in Influence Hierarchies in GitHub's Cryptocurrency Community

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.

• Network Analysis

A Path Dependent Equivalence of the Independent Cascade Model and the Linear Threshold Model

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.

• Paper ↗

• Information Diffusion

Modelling Goal Selection of Characters in Primary Groups in Crowd Simulations

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.

• Agent-Based Modeling
• ·
• Crowd Simulation

Certified Behavioral Rule Discovery in Agent-Based Segregation Models via Conformal Prediction

Jayalath, C., Rand, W., Garibay, I.

In preparation

Applies conformal prediction to certify plausible behavioral rule sets in agent-based models of residential segregation.

• Conformal Prediction
• ·
• Agent-Based Models
• ·
• Rule Identification

Quantifying the Effect of Clustering Coefficient on Models of Information Diffusion

Jayalath, C., Champon, X., Rand, W., Senevirathna, C., Garibay, I.

In preparation

Quantifies how network clustering coefficient affects outcomes of information diffusion models.

• Network Analysis
• ·
• Information Diffusion

Characterizing Influencer's Stability through Cascade Growth

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.

• Network Analysis