Book Image

Practical Data Analysis - Second Edition

By : Hector Cuesta, Dr. Sampath Kumar
Book Image

Practical Data Analysis - Second Edition

By: Hector Cuesta, Dr. Sampath Kumar

Overview of this book

Beyond buzzwords like Big Data or Data Science, there are a great opportunities to innovate in many businesses using data analysis to get data-driven products. Data analysis involves asking many questions about data in order to discover insights and generate value for a product or a service. This book explains the basic data algorithms without the theoretical jargon, and you’ll get hands-on turning data into insights using machine learning techniques. We will perform data-driven innovation processing for several types of data such as text, Images, social network graphs, documents, and time series, showing you how to implement large data processing with MongoDB and Apache Spark.
Table of Contents (21 chapters)
Practical Data Analysis - Second Edition
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface

Working with graphs using Gephi


Gephi is open source software for visualizing and analyzing large networks graphs, which runs on Windows, Linux, and Mac OS X. We can freely download Gephi from its website, listed here. For installation instructions, please refer to AppendixSetting Up the Infrastructure:

https://gephi.org/users/download/

To visualize your social network graph, you just need to open Gephi, click on the File menu and select Open, then look up and select our file, friends.gdf, and click on the Open button. We can see our graph in the following screenshot.

In the following screenshot, we can see the visualization of the graph (1,274 nodes and 43,928 links). The nodes represent friends and the links represent how the friends are connected to each other. The graph looks very dense and does not provide us with much insight; the next step is to find groups through a Modularity algorithm and color classification:

Tip

For complete reference documentation on Gephi, please refer to...