Popular social networks such as Facebook, Twitter, and LinkedIn generate a tremendous amount of valuable social data. Who's talking to whom? What are they talking about? How often are they talking? Where are they located? This concise and practical book shows you how to answer these types of questions and more. Each chapter presents a soup-to-nuts approach that combines popular social web data, analysis techniques, and visualization to help you find the needles in the social haystack you've been looking for -- and some you didn't know were there.
With Mining the Social Web, intermediate-to-advanced Python programmers will learn how to collect and analyze social data in way that lends itself to hacking as well as more industrial-strength analysis. The book is highly readable from cover to cover and tells a coherent story, but you can go straight to chapters of interest if you want to focus on a specific topic.
Get a concise and straightforward synopsis of the social web landscape so you know which 20% of the space to spend 80% of your time on
Use easily adaptable scripts hosted on GitHub to harvest data from popular social network APIs including Twitter, Facebook, and LinkedIn
Learn how to slice and dice social web data with easy-to-use Python tools, and apply more advanced mining techniques such as TF-IDF, cosine similarity, collocation analysis, document summarization, and clique detection
Build interactive visualizations with easily adaptable web technologies built upon HTML5 and JavaScript toolkits
This book is still in progress, but you can get going on this technology through our Rough Cuts edition, which lets you read the manuscript as it's being written, either online or via PDF.
via http://oreilly.com/catalog/9781449394844/
Amazon: http://www.amazon.com/Mining-Social-Web-Finding-Haystack/dp/1449388345/
Mining the Social Web
《社交网站的数据挖掘与分析》热门书评
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各种python库的一日游 所谓的社交网络数据挖掘只停留在浅层次上
14有用 0无用 MonteCarlo 2013-02-04
作者的文风非常傲慢 源代码各种不解释 写作思路跳跃性强难以捉摸 而且主要实现的功能偏数据收集 所谓的数据分析只停留在浅层次上好的地方是 接触到了一些有趣的python库:nltk做自然语言处理 networkx的网络分析 graphvis做可视化 以及以couchdb为代表的nosql作为appet...
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还不错
6有用 0无用 天高草长 2012-03-15
刚翻了第一章,介绍了很多基于python的工具包,这些之前没有听说过,今后可以继续深入实践。如果你用python有较长时间了,则强烈推荐。简单罗列一下:NetworkX,for the creation, manipulation, and study of the structure, dynam...
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其实是本数据分析工具介绍手册
4有用 0无用 多小羅 2012-03-06
如果你希望从这本书里边学到任何软件使用方法以外的东西,我觉得你会失望的。因为从第七章开始才讲算法,还将得各种悲剧。直接看wikipedia都能理解得更快。之前的章节都是各个社交网络API的介绍和工具使用介绍,还算行吧。里边提到的工具目录里边基本都有,直接上官方站学吧。...
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Mining the Social Web
1有用 1无用 涅瓦纳 2012-06-26
Popular social networks such as Facebook, Twitter, and LinkedIn generate a tremendous amount of valuable social data. Who's talking to whom? What are ...
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就像cover一样。dam beaver
0有用 0无用 titus 2012-02-14
yes, damn beaver -,-#社交网站的DM需要用直推来隐藏看似复杂却又简单,做起来简单却确实不是随便谁都能做好的工作。UPLOAD YOUR SOUL TO THE ULTIMATE INTERNET!哈哈哈哈!...
书名: 社交网站的数据挖掘与分析
作者: Matthew A·Russell
出版社: 机械工业出版社
原作名: Mining the Social Web : Analyzing Data from Facebook, Twitter, LinkedIn, and Other Social Media Sites
译者: 师蓉
出版年: 2012-2
页数: 301
定价: 59.00元
装帧: 平装
ISBN: 9787111369608