From the course: Complete Guide to Generative AI for Data Analysis and Data Science

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NetworkX

NetworkX

From the course: Complete Guide to Generative AI for Data Analysis and Data Science

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NetworkX

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- [Instructor] When we work with graph analysis and network analysis, we have a lot of tools that we can work with. One of the most popular is called NetworkX, it's a Python library. And NetworkX is really useful for graph analysis, and we're going to take a look at that. It's useful for things like creating and modifying graphs, query and graph structures, creating visualizations, analyzing algorithms, so things like finding shortest paths or clusters within algorithms. Also calculating centrality measures are easily done in NetworkX. We also have the ability to detect communities or sort of subgroups within a graph where there's a lot of interaction among community members. That's often helpful to do depending on the kind of graph analysis that we're working on. So, now I've just jumped over to Colab and I've opened a Colab notebook that I have created, and I just want to demonstrate some basic functionality of NetworkX and show you what it looks like to work with NetworkX. In our…

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