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Network Science with Python and NetworkX Quick Start Guide.pdf

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    Title Page
    Copyright and Credits
    Network Science with Python and NetworkX Quick Start Guide
    Dedication
    About Packt
    Why subscribe?
    Packt.com
    Contributors
    About the author
    About the reviewer
    Packt is searching for authors like you
    Preface
    Who this book is for
    What this book covers
    To get the most out of this book
    Download the example code files
    Conventions used
    Get in touch
    Reviews
    What is a Network?
    Network science
    The history of network science
    Network science today
    What is a network?
    Nodes and edges
    Visualizing networks
    What is NetworkX?
    Types of networks
    Directed networks
    Weighted networks
    Understanding edges
    Social networks
    Flow networks
    Similarity networks
    Spatial networks
    Your first network in NetworkX
    Summary
    References
    Working with Networks in NetworkX
    The Graph class – undirected networks
    Adding attributes to nodes and edges
    Adding edge weights
    The DiGraph class – when direction matters
    MultiGraph and MultiDiGraph – parallel edges
    Summary
    References
    From Data to Networks
    Modeling your data
    Reading and writing network files
    Creating a network with code
    Summary
    References
    Affiliation Networks
    Nodes and affiliations
    Affiliation networks in NetworkX
    Projections
    Summary
    References
    The Small Scale - Nodes and Centrality
    Centrality – finding key nodes
    Bridges, brokers, and bottlenecks – betweenness centrality
    Hubs – eigenvector centrality
    Closeness centrality
    Local clustering
    Summary
    References
    The Big Picture - Describing Networks
    The global structure of networks
    Datasets
    Diameter and mean shortest path
    Global clustering
    Measuring resilience
    Minimum cuts
    Connectivity
    Centralization and inequality
    Summary
    References
    In-Between - Communities
    Communities – networks within networks
    Community detection in NetworkX
    Modularity maximization
    Visualizing
    An online social network
    Girvan-Newman – betweenness-based communities
    Cliques
    K-cores
    Summary
    References
    Social Networks and Going Viral
    Social networks
    Strong and weak ties
    Tie strength
    Bridge span
    Comparing strength and span
    The small world problem
    Ring networks
    A real social network
    Random networks
    Watts-Strogatz networks
    Contagion – how things spread
    Simple contagion
    Complex contagion
    Summary
    References
    Simulation and Analysis
    Watts-Strogatz and small worlds
    Preferential attachment and heavy-tailed networks
    Configuration models
    Agent-based models
    Summary
    References
    Networks in Space and Time
    Locations and events
    Networks in space
    Gravity models
    Working with spatial data
    Gravity model for air travel
    Residual network
    Network properties
    Networks in time
    Layered networks
    Working with time data
    The evolution of network properties
    Summary
    References
    Visualization
    Beyond the hairball
    The circular layout
    The shell layout
    The force-directed layout
    Null models
    Summary
    Conclusion
    The practice of network science
    Learning more
    Advances in network science
    The impact of network science
    Appendix
    Adjacency matrices
    Biadjacency matrices
    Modularity
    Other Books You May Enjoy
    Leave a review - let other readers know what you think
    Network Science with Python and NetworkX Quick Start Guide Explore and visualize network data effectively Edward L. Platt 2
    BIRMINGHAM - MUMBAI 3
    Network Science with Python and NetworkX Quick Start Guide Copyright © 2019 Packt Publishing All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews. Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing or its dealers and distributors, will be held liable for any damages caused or alleged to have been caused directly or indirectly by this book. Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information. Commissioning Editor: Amey Varangaonkar Acquisition Editor: Sandeep Mishra Content Development Editor: Smit Carvalho Technical Editor: Diksha Wakode Copy Editor: Safis Editing Project Coordinator: Kinjal Bari Proofreader: Safis Editing Indexer: Tejal Daruwale Soni Graphics: Alishon Mendonsa Production Coordinator: Jyoti Chauhan First published: April 2019 Production reference: 1250419 Published by Packt Publishing Ltd. Livery Place 35 Livery Street Birmingham B3 2PB, UK. ISBN 978-1-78995-531-6 www.packtpub.com 4
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