Platt Network Science with Python and NetworkX Quick Start Guide

Explore and visualize network data effectively
1. Auflage 2019
ISBN: 978-1-78995-041-0
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 190 Seiten

No detailed description available for "Network Science with Python and NetworkX Quick Start Guide".

Autoren/Hrsg.

Platt, Edward L.

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie

Inhaltsverzeichnis

Table of Contents - What is a Network?
- Working with Networks in NetworkX
- From Data to Networks
- Affiliation Networks
- The Small Scale - Nodes and Centrality
- The Big Picture - Describing Networks
- In-Between - Communities
- Social Networks and Going Viral
- Simulation and Analysis
- Networks in Space and Time
- Visualization
- Conclusion
- Appendix

Über Autor(innen)

Platt Edward L.:

Edward L. Platt creates technology for communities and communities for technology. He is currently a researcher at the University of Michigan School of Information and the Center for the Study of Complex Systems. He has published research on large-scale collective action, social networks, and online communities. He was formerly a staff researcher at the MIT Center for Civic Media. He contributes to many free/open source software projects, including tools for media analysis, network science, and cooperative organizations. He has also done research on quantum computing and fault tolerance. He has an M.Math in Applied Mathematics from the University of Waterloo, as well as B.S degrees in both Computer Science and Physics from MIT.