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You're reading from  Network Science with Python

Product typeBook
Published inFeb 2023
PublisherPackt
ISBN-139781801073691
Edition1st Edition
Tools
PyTorchSolr
Concepts
Mobile Application Development
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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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Index

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

A

Account to Mention network data 174

adjacency matrix 320

using 321

Anaconda

URL 66

Application Programming Interfaces (APIs) 63

Artificial Intelligence (AI) 8

attack

simulating 205-207

Automatic Language Processing Advisory Committee (ALPAC) 9

B

BeautifulSoup 93, 102, 150

data, loading with 93

data pulling from 102-105

data, scraping with 93

betweenness centrality 224-226, 318

C

centralities

comparing 231, 232

centrality scores 219

chatbots 23

closeness centrality 226-228, 319

clustering 23, 317

community detection 23, 284, 339

approaches 285, 309

EgoNetSplitter 351-356

example 339

implementing 344

network splitting 285

node closeness 285

node connectivity 285

Scalable Community Detection (SCD) 345...

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

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