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

Social networks analysis


Social Networks Analysis (SNA) is not new; sociologists have been using it for a long time to study human relationships (sociometry), find communities, and simulate how information or a disease is spread in a population.

With the rise of social networking sites such as Facebook, Twitter, LinkedIn, and so on, the acquisition of large amounts of social network data is easier. We can use SNA to get insight about customer behavior or unknown communities. It is important to say that this is not a trivial task, and we will face sparse data and a lot of noise (meaningless data). We need to understand how to distinguish between false correlation and causation. A good start is to know our graph through visualization and statistical analysis.

Social network sites give us opportunities to ask questions that are otherwise too hard to approach, because pooling enough people is time-consuming and expensive.

In this chapter, you will learn how to get insight into the proportions...