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Computational sociology is an interdisciplinary field that combines sociology with computational methods and tools to analyze and understand social phenomena. It leverages data science, computational modeling, and advanced computational techniques to study social structures, dynamics, and patterns, often using large-scale data collections from social media, surveys, and other digital sources. Key aspects of computational sociology include: 1. **Data Analysis**: Utilizing statistical methods, machine learning, and data mining techniques to analyze large datasets that capture social interactions and behaviors.

Ancestors (6)

  1. Complex systems theory
  2. Mathematical modeling
  3. Applied mathematics
  4. Fields of mathematics
  5. Mathematics
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