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Mastering Gephi Network Visualization

You're reading from   Mastering Gephi Network Visualization Produce advanced network graphs in Gephi and gain valuable insights into your network datasets

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Product type Paperback
Published in Jan 2015
Publisher
ISBN-13 9781783987344
Length 378 pages
Edition 1st Edition
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Concepts
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Toc

Table of Contents (13) Chapters Close

Preface 1. Fundamentals of Complex Networks and Gephi FREE CHAPTER 2. A Network Graph Framework 3. Selecting the Layout 4. Network Patterns 5. Working with Filters 6. Graph Statistics 7. Segmenting and Partitioning a Graph 8. Dynamic Networks 9. Taking Your Graph Beyond Gephi 10. Putting It All Together A. Data Sources and Other Web Resources Index

When to use DNA


There are a host of potential applications for DNA, including the following:

  • Social media analysis, where friends and contacts are frequently changing

  • Communication networks, such as corporate e-mail systems, where evolving patterns emerge over the course of days and weeks

  • Political networks that change over time as entities gain or lose power

  • Terrorist cells with frequent changes in structure driven by increasing membership and evolving network connections

  • Disease modeling, where contagion rates can force rapid changes in the status of nodes within a network

In short, any network with relatively frequent changes over time will be a good candidate for DNA. Networks with infrequent or very slow changes (perhaps tenured faculty at a university or power grid infrastructure networks, to name just two examples) are often adequately addressed by static networks, as temporal analysis adds complexity while shedding little additional insight into network behavior.

There are two distinct...

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