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Thinking in Networks

Data Skeptic

CHAPTER

Exploring Network Analysis Tools and Techniques

This chapter examines the capabilities of Python's NetworkX library for network analysis and introduces Gaffey as an alternative for those unfamiliar with coding. It emphasizes the importance of adopting a 'thinking in networks' mindset and discusses the challenges of community detection and the dynamic nature of networks. The speakers also explore theoretical concepts like graphical neural networks and the complexities of NP-complete problems in graph theory.

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