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Network Science with Python and NetworkX Quick Start Guide

You're reading from   Network Science with Python and NetworkX Quick Start Guide Explore and visualize network data effectively

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Product type Paperback
Published in Apr 2019
Publisher Packt
ISBN-13 9781789955316
Length 190 pages
Edition 1st Edition
Languages
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Author (1):
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Edward L. Platt Edward L. Platt
Author Profile Icon Edward L. Platt
Edward L. Platt
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Table of Contents (15) Chapters Close

Preface 1. What is a Network? FREE CHAPTER 2. Working with Networks in NetworkX 3. From Data to Networks 4. Affiliation Networks 5. The Small Scale - Nodes and Centrality 6. The Big Picture - Describing Networks 7. In-Between - Communities 8. Social Networks and Going Viral 9. Simulation and Analysis 10. Networks in Space and Time 11. Visualization 12. Conclusion 13. Other Books You May Enjoy Appendix

References

The following is a list of resources that you can consider to get further knowledge:

  • Cohen, R., & Ruths, D. (2013). Classifying political orientation on Twitter: It's not easy!. In Seventh International AAAI Conference on Weblogs and Social Media.
  • Euler, L. (1953). Leonhard Euler and the Königsberg bridges. Scientific American, 189(1).
  • Jernigan, C., & Mistree, B. F. (2009). Gaydar: Facebook friendships expose sexual orientation. First Monday, 14(10).
  • Moreno, J. L., & Jennings, H. H. (1934). Who Shall Survive? Nervous and Mental Disease.
  • Page, L., Brin, S., Motwani, R., & Winograd, T. (1999). The PageRank citation ranking: Bringing order to the web. Stanford InfoLab.
  • Zhang, Y., & Pennacchiotti, M. (2013, May). Predicting purchase behaviors from social media. In Proceedings of the 22nd international conference on World Wide Web. ACM.
You have been reading a chapter from
Network Science with Python and NetworkX Quick Start Guide
Published in: Apr 2019
Publisher: Packt
ISBN-13: 9781789955316
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