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Learning Social Media Analytics with R

You're reading from   Learning Social Media Analytics with R Transform data from social media platforms into actionable business insights

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Product type Paperback
Published in May 2017
Publisher Packt
ISBN-13 9781787127524
Length 394 pages
Edition 1st Edition
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Authors (4):
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Raghav Bali Raghav Bali
Author Profile Icon Raghav Bali
Raghav Bali
Dipanjan Sarkar Dipanjan Sarkar
Author Profile Icon Dipanjan Sarkar
Dipanjan Sarkar
Karthik Ganapathy Karthik Ganapathy
Author Profile Icon Karthik Ganapathy
Karthik Ganapathy
Tushar Sharma Tushar Sharma
Author Profile Icon Tushar Sharma
Tushar Sharma
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Table of Contents (10) Chapters Close

Preface 1. Getting Started with R and Social Media Analytics 2. Twitter – What's Happening with 140 Characters FREE CHAPTER 3. Analyzing Social Networks and Brand Engagements with Facebook 4. Foursquare – Are You Checked in Yet? 5. Analyzing Software Collaboration Trends I – Social Coding with GitHub 6. Analyzing Software Collaboration Trends II - Answering Your Questions with StackExchange 7. Believe What You See – Flickr Data Analysis 8. News – The Collective Social Media! Index

Chapter 4. Foursquare – Are You Checked in Yet?

Foursquare is a search and discovery platform which helps users with their social endeavors. It uses the user's information including previous history, demographic information, location, and so on, to suggest locations of interest to the user. In simple terms, it can be viewed as an application dishing out aggregated location knowledge custom built to an individual's tastes. It is very much akin to the oracle on your shoulder to whom you can ask the important question: "What should I do?" and then decide whether to act on that information.

In this chapter, we will try to learn how we can leverage Foursquare data to gain some meaningful insights to the user's behavior. We will try to build some use cases which will help us in demonstrating the actual process of answering relevant questions starting from the data.

To summarize, broadly we will be covering the following topics:

  • Understanding Foursquare data...
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