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You're reading from  Network Science with Python

Product typeBook
Published inFeb 2023
PublisherPackt
ISBN-139781801073691
Edition1st Edition
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Author (1)
David Knickerbocker
David Knickerbocker
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David Knickerbocker

David Knickerbocker is the chief engineer and co-founder of VAST-OSINT. He has over two decades of rich experience working with and around data in his career, with his focus being on data science, data engineering, software development, and cybersecurity.
Read more about David Knickerbocker

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Summary

We covered a lot of material in this short chapter. We discussed the confusion around the word network, went into the history and origins of graph theory, social network analysis, and network science, discussed resources for learning and practice, discussed some of my favorite network use cases, and finished by explaining how you can start formulating your own network research.

I hope this chapter gave you a rough idea of what all of this network stuff is. I know I did not go into great detail on the origins, and I mostly talked about social network analysis, but that is because that is my area of interest. I hope you now understand what networks can be used for, and I hope you understand that I have only scratched the surface. My goal was to ignite your curiosity.

In the next chapter, I will explain the tools used for NLP. We are going to gradually move past theory and into data science.

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Network Science with Python
Published in: Feb 2023Publisher: PacktISBN-13: 9781801073691

Author (1)

author image
David Knickerbocker

David Knickerbocker is the chief engineer and co-founder of VAST-OSINT. He has over two decades of rich experience working with and around data in his career, with his focus being on data science, data engineering, software development, and cybersecurity.
Read more about David Knickerbocker