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Facebook, Twitter and LinkedIn generate a lot of valuable social data, but how to find out who to contact in progress via social media? What they are talking about? Or where are they? The book is simple and workable, it will reveal how to answer these questions even more problems. You will learn how to combine social networking data, analysis techniques, how to visualize help you find you have been looking for in the social world of content, as well as useful information you never heard of.
"Data mining and analysis of social networking sites" Each chapter introduces the technology of data mining in different areas of social networks, these areas include blog and e-mail. All you need is to have some programming experience and learn basic Python tools will.
With this book, you will:
gain an intuitive understanding of the world of social networks
from data Twitter, Facebook and LinkedIn and other social networks, such as the use of the API on GitHub flexible scripting to get
to learn how to use Python convenient tool to cross-analyze your collected the data
to explore by XFN-based social contact microformats
applications such as TF-IDF, cosine similarity, collocation analysis, document summary, faction-detection of advanced mining technology
to establish an interactive visualization of network-based technology HTML 5 and JavaScript toolkit by