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Mastering Social Media Mining with Python

You're reading from   Mastering Social Media Mining with Python Unearth deeper insight from your social media data with advanced Python techniques for acquisition and analysis

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Product type Paperback
Published in Jul 2016
Publisher Packt
ISBN-13 9781783552016
Length 338 pages
Edition 1st Edition
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Author (1):
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Marco Bonzanini Marco Bonzanini
Author Profile Icon Marco Bonzanini
Marco Bonzanini
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Table of Contents (10) Chapters Close

Preface 1. Social Media, Social Data, and Python FREE CHAPTER 2. #MiningTwitter – Hashtags, Topics, and Time Series 3. Users, Followers, and Communities on Twitter 4. Posts, Pages, and User Interactions on Facebook 5. Topic Analysis on Google+ 6. Questions and Answers on Stack Exchange 7. Blogs, RSS, Wikipedia, and Natural Language Processing 8. Mining All the Data! 9. Linked Data and the Semantic Web

The Facebook Graph API


The Facebook Graph API is at the core of the Facebook platform, and it's one the main components that enable the integration of third parties with Facebook. As the name suggests, it offers a consistent graph-like view of data, representing objects and the connections between them. The different platform components allow developers to access Facebook data and integrate Facebook functionalities into third-party applications.

In terms of data mining opportunities, there was a major shift during 2014 with the release of version 2.0 of the API. One of the main objects of interest in data analysis is the social graph, that is, the list of connections (friendship) between users. Since version 2.0 of the Graph API, applications that want to access this information must explicitly ask for the user_friends permission, but the API will only return the list of friends who are also users of the given app.

Effectively, this choice has transformed what used to be a gold mine for data...

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