Samuel Unicomb

Samuel Unicomb is a Researcher affiliated with the Department of Psychology at the University of Limerick, and also associated with the Mathematics Applications Consortium for Science and Industry (MACSI). His work focuses on network analysis, contagion dynamics, threshold models, and computational social science. Key research areas include diffusion approximation of meme popularity, temporal networks, and reentrant phase transitions in multiplex systems. He contributes to UN Sustainable Development Goals through his interdisciplinary studies.

His research outputs between 2018 and 2023 explore topics such as threshold-driven contagion, burstiness-controlled cascades, and weighted networks. Collaborations span institutions globally, addressing complex systems through stochastic processes and network modeling.

• Notable contributions include diffusion approximation frameworks and phase transition analyses in networked systems.
• His work bridges mathematical modeling (e.g., master equations) with real-world phenomena like information spread and social dynamics.