O'Reilly Mining the Social Web: Analyzing Data from Social Media Sites
简介：
Facebook，Twitter，LinkedIn，Google和其他社交网络属性产生了大量有价值的社交数据，但是您如何利用这些数据并发现谁在与谁联系，哪些见解潜伏在表面之下，以及人们在谈论什么？
这本书告诉你如何回答这些问题和更多。每一章都将流行和有用的社交网络数据与分析技术和可视化相结合，以帮助您找到您一直在寻找的社交大海捞针-以及许多您甚至不知道的存在。使用IPython Notebook和其他易于使用的Python软件包 (如Natural Language Toolkit、NetworkX和Matplotlib) 有效地筛选社交web数据，作为在社交web数据中发现见解的实验驱动方法的一部分
英文简介：
Facebook, Twitter, LinkedIn, Google+, and other social web properties generate a wealth of valuable social data, but how can you tap into this data and discover who's connecting with whom, which insights are lurking just beneath the surface, and what people are talking about?
This book shows you how to answer these questions and many more. Each chapter combines popular and useful social web data with analysis techniques and visualization to help you find the needles in the social haystack that you've been looking for - as well as many you probably didn't even know existed.
Employ IPython Notebook and other easy to use Python packages such as the Natural Language Toolkit, NetworkX, and Matplotlib to efficiently sift through social web data as part of an experimentally-driven approach to discovering insights in social web data
- 书名
- O'Reilly Mining the Social Web: Analyzing Data from Social Media Sites
- 译名
- O'Reilly® 挖掘社交网络：分析社交媒体网站的数据
- 语言
- 英语
- 年份
- 2011
- 页数
- 448页
- 大小
- 20.69 MB
- 标签
- 社交网络
- 下载
O'Reilly Mining the Social Web: Analyzing Data from Social Media Sites.pdf- 密码
- 65536
最后更新：2025-04-12 23:54:39
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