Patterns, Models, and Challenges in Online Social Media: A Survey
Abstract
The rise of digital platforms has enabled the large scale observation of individual and collective behavior through high resolution interaction data. This development has opened new analytical pathways for investigating how information circulates, how opinions evolve, and how coordination emerges in online environments. Yet despite a growing body of research, the field remains fragmented and marked by methodological heterogeneity, limited model validation, and weak integration across domains. This survey offers a systematic synthesis of empirical findings and formal models. We examine platform-level regularities, assess the methodological architectures that generate them, and evaluate the extent to which current modeling frameworks account for observed dynamics. The goal is to consolidate a shared empirical baseline and clarify the structural constraints that shape inference in this domain, laying the groundwork for more robust, comparable, and actionable analyses of online social systems.
Cite
@article{arxiv.2507.13379,
title = {Patterns, Models, and Challenges in Online Social Media: A Survey},
author = {Niccolò Di Marco and Anita Bonetti and Edoardo Di Martino and Edoardo Loru and Jacopo Nudo and Mario Edoardo Pandolfo and Giulio Pecile and Emanuele Sangiorgio and Irene Scalco and Simon Zollo and Matteo Cinelli and Fabiana Zollo and Walter Quattrociocchi},
journal= {arXiv preprint arXiv:2507.13379},
year = {2025}
}