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Temporal higher order interactions in social dynamics: From theoretical models to controlled experiments

Project description

Understanding group dynamics in online communities

Given that the online environment is characterised by increasing polarisation and misinformation, gaining a clear view of how group interactions affect personal beliefs is more important than ever. Supported by the Marie Skłodowska-Curie Actions programme, the SocialTHOI project aims to investigate the effects of higher-order interactions in order to reflect the complexity of social media interactions at the group level. Using the methods from multivariate information theory, together with higher-order representation, the project examines how group dynamics and trust within groups determine their political orientation and social behaviour. On this basis, the project proposes a mechanistic model to understand social processes such as radicalisation and the spread of fake news.

Objective

This project investigates how group interactions, also known as higher-order interactions (HOIs), shape individual traits/opinions, with
a particular focus on online social media environments. While traditional network science has largely focused on pairwise interactions,
evidence from sociology, experimental psychology and complex systems theory suggests that group-level dynamics play a critical
and qualitatively different role in shaping opinions, beliefs, and behaviors. Understanding these dynamics is essential for explaining
phenomena such as polarization, radicalization, and fake-news diffusion, as well as for designing interventions to foster civic
engagement and social cohesion.
To capture the complexity of group interactions, the project will adopt higher-order network (HON) representations and develop
novel methods to infer genuine HOIs from social media data using tools from multivariate information theory. These methods will
enable the construction of realistic HONs that reflect actual group dynamics, overcoming limitations of current models that rely on
simplified assumptions.
The project will then analyze how group-level properties, such as size, internal communication patterns, and trust, affect individual
attributes, including political leaning or stance on controversial topics. Building on these findings, a mechanistic model grounded in sociological theory will be developed and validated against empirical data.
To ensure causal validity, the project will also include online social experiments with a control group, designed to isolate and test the mechanisms assumed in the model.
By integrating theoretical modeling, empirical data analysis, and experimental validation, the project will contribute to a deeper
understanding of online social dynamics and inform practical strategies to mitigate polarization and fragmentation in digital societies.

Fields of science (EuroSciVoc)

Keywords

Programme(s)

Topic(s)

Funding Scheme

HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships

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Call for proposal

(opens in new window) HORIZON-MSCA-2025-PF

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Coordinator

UNIVERSIDAD POMPEU FABRA
Net EU contribution
€ 194 074,56
Address
PLACA DE LA MERCE, 10-12
08002 Barcelona
Spain
Region
Este Cataluña Barcelona
Activity type
Higher or Secondary Education Establishments
Links
Total cost
No data

Partners (1)