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Explore how network analysis reveals hidden insights in real-world phenomena through this 27-minute conference talk from EuroPython 2025. Discover how graph-based methods and simple algorithms can analyze and solve complex problems across diverse domains including epidemics, communication, transportation, trade networks, corporate structures, and historical data. Learn to use NetworKit and NetworkX to analyze real-world datasets while examining three key research questions: what the core-periphery model reveals about trade networks, how network models can rank painters by skill, and how corporate hierarchies differ from interaction hierarchies within organizations. Gain hands-on experience with Python as a research tool through practical demonstrations using accessible datasets and code that you can replicate and apply to your own projects. Master fundamental concepts in network analysis while understanding how these techniques uncover patterns and relationships that would otherwise remain hidden in complex systems.
