
Explore how social environments shape misinformation exposure and out-party animosity, and learn strategies for designing interventions to reduce problematic behaviors.

Comprehensive exploration of PTSD, covering development, course, treatments, neural factors, and global impact. Includes recent research and approaches to address PTSD worldwide.

Explore how social networks perpetuate inequalities and biases, focusing on gender disparities in academia and strategies to address structural imbalances.

Explore how environment, interactions, group composition, and genetics shape collective outcomes in complex biological systems through field studies, simulations, and novel analytical methods.

Explore innovative methods for analyzing social networks to understand disease spread and health behaviors, with insights from cutting-edge research in network science and epidemiology.

Explore how social networks and inequality impact collective welfare. Experts discuss the origins of social disparities and potential strategies to improve individual and societal well-being through data-driven insights.

Exploring network science and mathematical approaches to uncover hidden structures in complex data. Discusses community detection, data topology, and applications in social networks and opinion dynamics.

Leonardo Bonanni presenta Sourcemap, una tecnologia innovativa per mappare le supply chain globali, migliorando sostenibilità, tracciabilità e condizioni lavorative lungo l'intera filiera produttiva.

Descoperă cum tehnicile de cartografiere a relațiilor pot transforma rețele inactive în comunități cu impact, dezvăluind puterea ascunsă a conexiunilor și potențialul lor de a combate corupția și de a aduce schimbări sociale.

Explore structural thinking in social network analysis, covering key concepts like preferential attachment, small worlds, and homophily, with applications to modern digital networks and classic theories.

Explore real-time graph analytics with Raphtory, covering social networks, time-based graphs, and advanced features like historical properties and query languages.

Explore opinion dynamics on networks, including threshold models, voter models, and bounded-confidence models. Discover how network structure influences social contagions and opinion polarization.

Explore evolutionary epidemiology of emerging diseases, covering host relationships, infection models, variants, and control strategies.

Explore social network analysis techniques, data collection methods, and analytical approaches. Learn about key concepts like weak ties, homophily, and community detection to enhance your understanding of network structures.

Explore Reddit's unique approach to fostering human connection online, its content policies, and privacy protection measures with CEO Steve Huffman in this insightful discussion.

Exploring how digital activity data can provide insights into physical and mental well-being, using computational methods to analyze behavior patterns and improve health outcomes globally.

Explore the impact and implications of social networks with insights from FBI expert Evan Patterson, covering key aspects of online social interactions and their significance.

Explore temporal hypergraphs and zigzag persistence in Topological Data Analysis to understand complex systems' evolution, with applications in cybersecurity and social networks.

Learn about data science on graphs with expert Sundeep Prabhakar Chepuri in this IEEE Signal Processing Society webinar, exploring cutting-edge techniques and applications in graph-based data analysis.

Explore techniques to uncover shared cultural mental models from remote populations, combining linguistic analysis and surveys to identify decision-making factors and cultural norms.

Explore spin systems on spatial random graphs, examining their properties, dynamics, and applications in network science and statistical physics.