Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Google+, GitHub, and More

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Amazon Price: $49.99 $34.23 You save: $15.76 (32%). (as of August 15, 2017 23:31 – Details). Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on the Amazon site at the time of purchase will apply to the purchase of this product.

Want to tap the tremendous amount of valuable social data in Facebook, Twitter, LinkedIn, GitHub, Instagram, and Google+? This new edition helps you discover who’s making connections with social media, what they’re talking about, and where they’re located. You’ll learn how to combine social web data, analysis techniques, and visualization to find what you’ve been looking for in the social haystack—as well as useful information you didn’t know existed.Get a straightforward synopsis of the social web landscapeUse adaptable scripts on GitHub to harvest data from social network APIs.Learn how to employ easy-to-use Python tools to slice and dice the data you collectExplore social connections in microformats with the XHTML Friends NetworkApply advanced mining techniques such as TF-IDF, cosine similarity, collocation analysis, document summarization, clique detection, and image recognitionBuild interactive visualizations with web technologies based upon HTML5 and JavaScript toolkits

Mining the Social Web: Analyzing Data from Facebook, Twitter, LinkedIn, and Other Social Media Sites

Mining the Social Web: Analyzing Data from Facebook, Twitter, LinkedIn, and Other Social Media SitesFacebook, Twitter, and LinkedIn generate a tremendous amount of valuable social data, but how can you find out who's making connections with social media, what they’re talking about, or where they’re located? This concise and practical book shows you how to answer these questions and more. You'll learn how to combine social web data, analysis techniques, and visualization to help you find what you've been looking for in the social haystack, as well as useful information you didn't know existed.

Each standalone chapter introduces techniques for mining data in different areas of the social Web, including blogs and email. All you need to get started is a programming background and a willingness to learn basic Python tools.

  • Get a straightforward synopsis of the social web landscape
  • Use adaptable scripts on GitHub to harvest data from social network APIs such as Twitter, Facebook, and LinkedIn
  • Learn how to employ easy-to-use Python tools to slice and dice the data you collect
  • Explore social connections in microformats with the XHTML Friends Network
  • Apply advanced mining techniques such as TF-IDF, cosine similarity, collocation analysis, document summarization, and clique detection
  • Build interactive visualizations with web technologies based upon HTML5 and JavaScript toolkits

“Let Matthew Russell serve as your guide to working with social data sets old (email, blogs) and new (Twitter, LinkedIn, Facebook). Mining the Social Web is a natural successor to Programming Collective Intelligence: a practical, hands-on approach to hacking on data from the social Web with Python.”

–Jeff Hammerbacher, Chief Scientist, Cloudera

“A rich, compact, useful, practical introduction to a galaxy of tools, techniques, and theories for exploring structured and unstructured data.”

–Alex Martelli, Senior Staff Engineer, Google

Price: $39.99

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Seven Deadliest Social Network Attacks

Seven Deadliest Social Network Attacks (Syngress Seven Deadliest Attacks)Do you need to keep up with the latest hacks, attacks, and exploits effecting social networks? Then you need Seven Deadliest Social Network Attacks. This book pinpoints the most dangerous hacks and exploits specific to social networks like Facebook, Twitter, and MySpace, laying out the anatomy of these attacks including how to make your system more secure. You will discover the best ways to defend against these vicious hacks with step-by-step instruction and learn techniques to make your computer and network impenetrable.



Attacks detailed in this book include:

  1. Social Networking Infrastructure Attacks
  2. Malware Attacks
  3. Phishing Attacks
  4. Evil Twin Attacks
  5. Identity Theft
  6. Cyber Bullying
  7. Physical Threats
  • Knowledge is power, find out about the most dominant attacks currently waging war on computers and networks globally
  • Discover the best ways to defend against these vicious attacks; step-by-step instruction shows you how
  • Institute countermeasures, don't be caught defenseless again, learn techniques to make your computer and network impenetrable

Price: $24.95

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The Net Delusion: The Dark Side of Internet Freedom

The Net Delusion: The Dark Side of Internet Freedom“The revolution will be Twittered!” declared journalist Andrew Sullivan after protests erupted in Iran in June 2009. Yet for all the talk about the democratizing power of the Internet, regimes in Iran and China are as stable and repressive as ever. In fact, authoritarian governments are effectively using the Internet to suppress free speech, hone their surveillance techniques, disseminate cutting-edge propaganda, and pacify their populations with digital entertainment. Could the recent Western obsession with promoting democracy by digital means backfire?

In this spirited book, journalist and social commentator Evgeny Morozov shows that by falling for the supposedly democratizing nature of the Internet, Western do-gooders may have missed how it also entrenches dictators, threatens dissidents, and makes it harder—not easier—to promote democracy. Buzzwords like “21st-century statecraft” sound good in PowerPoint presentations, but the reality is that “digital diplomacy” requires just as much oversight and consideration as any other kind of diplomacy.
 
Marshaling compelling evidence, Morozov shows why we must stop thinking of the Internet and social media as inherently liberating and why ambitious and seemingly noble initiatives like the promotion of “Internet freedom” might have disastrous implications for the future of democracy as a whole. 

Price: $27.95

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Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Google+, GitHub, and More

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Amazon Price: $44.99 $32.11 You save: $12.88 (29%). (as of August 16, 2017 02:36 – Details). Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on the Amazon site at the time of purchase will apply to the purchase of this product.

How can you tap into the wealth of social web data to discover who’s making connections with whom, what they’re talking about, and where they’re located? With this expanded and thoroughly revised edition, you’ll learn how to acquire, analyze, and summarize data from all corners of the social web, including Facebook, Twitter, LinkedIn, Google+, GitHub, email, websites, and blogs.
Employ the Natural Language Toolkit, NetworkX, and other scientific computing tools to mine popular social web sites Apply advanced text-mining techniques, such as clustering and TF-IDF, to extract meaning from human language data Bootstrap interest graphs from GitHub by discovering affinities among people, programming languages, and coding projects Build interactive visualizations with D3.js, an extraordinarily flexible HTML5 and JavaScript toolkit Take advantage of more than two-dozen Twitter recipes, presented in O’Reilly’s popular "problem/solution/discussion" cookbook format
The example code for this unique data science book is maintained in a public GitHub repository. It’s designed to be easily accessible through a turnkey virtual machine that facilitates interactive learning with an easy-to-use collection of IPython Notebooks.