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Lecture
Social Network Analysis: Friendship Relations
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Related lectures (31)
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Modularity: Community Detection Algorithms
Explores the Louvain Modularity Algorithm for optimizing community quality through modularity and its applications in social network analysis.
Network Formation: Random Connection Models
Explores network formation through random connection models and node degree distribution.
Scale-Free Networks: Power Laws and Preferential Attachment
Explores scale-free networks, power laws, preferential attachment, and network assortativity.
Contact Data Management
Covers contact data management, including list manipulation and gender-based filtering.
Graph Coloring: Theory and Applications
Explores graph coloring theory, spectral clustering, community detection, and network structures.
General Introduction to Data Science
Offers a comprehensive introduction to Data Science, covering Python, Numpy, Pandas, Matplotlib, and Scikit-learn, with a focus on practical exercises and collaborative work.
Socio-Technical Networks: Cooperation and Research Projects
Explores socio-technical networks in scientific cooperation and research projects, emphasizing network dynamics and global collaborations.
Programming with Parallelograms
Covers the implementation of a Parallelogram class in Python.
Introduction to Data Science
Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.
Fibonacci Sequence Computation
Covers the computation of the Fibonacci sequence using Python, demonstrating step-by-step implementation.
