EPJ Data Science publishes research that applies computational and data-driven methods to analyze complex systems and human behavior. The journal focuses on understanding social phenomena, information diffusion, and individual and collective decision-making through the analysis of large-scale datasets. Topics include online moderation, urban mobility, social influence in online environments, and the dynamics of scientific collaboration.
Computer Science ApplicationsComputational MathematicsModeling and Simulation
Research Topics (OpenAlex)
Complex Network Analysis TechniquesHuman Mobility and Location-Based AnalysisOpinion Dynamics and Social InfluenceMisinformation and Its ImpactsSocial Media and PoliticsUrban Transport and AccessibilityData-Driven Disease SurveillanceComplex Systems and Time Series AnalysisComputational and Text Analysis MethodsHate Speech and Cyberbullying Detection