Social network analysis laboratory
Computational & Interdisciplinar Social Network Analysis
We analyse social networks from an interdisciplinary perspective, using computational, mathematical and sociological techniques
A platform for analysing online conversations as social and socio-semantic networks.
A laboratory tool for analysing news.

A tool for characterising disinformation in Spanish.
Research software and code published by the laboratory.
Current project
Fondecyt Regular 1250207, ANID, Chile
2025-2028
Modeling, analysis and conflict resolution in polarized social networks: A computational approach
To model and analyse the dynamics of polarised social networks using social network analysis, computational game theory and artificial intelligence techniques, in order to propose alternative ways of resolving structural conflicts.
XV Concurso Fondo de Estudios sobre el Pluralismo en el Sistema Informativo Nacional, ANID, Chile
Caracterización automática de desinformación y noticias falsas en español: un enfoque interdisciplinario desde la inteligencia artificial, el análisis lingüístico y del discurso
To understand how disinformation and fake news are produced in the Chilean context, in terms of both their content and the way that content takes hold.
Fondecyt de Iniciación, ANID, Chile
The role of individual and group centrality in the influence spread process within social networks
To analyse, measure and visualise how groups of individuals with high centrality affect influence spread dynamics within a social network.
For enquiries about the laboratory, its projects or its data, write to
fabian.riquelme@upc.edu