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Complexities of Networks and AI Influence
This chapter examines the challenges in physics and social sciences regarding the reproducibility of scientific models, emphasizing the nuanced nature of measuring similarity in graphs. It discusses the impact of algorithm-driven content recommendations on user behavior and societal dynamics, alongside the interplay of human and artificial intelligence. The speakers further explore community detection in networks, the subjective nature of similarity, and the implications of these themes on identity and interaction in an increasingly algorithm-driven world.