Mining the Social Web

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Matthew Russell has completed nearly 50 publications on technology, including work that has appeared at scientific conferences and in Linux Journal and Make magazine. He is also the author of Dojo: The Definitive Guide (O’Reilly). Matthew is Vice President of Engineering at Digital Reasoning Systems and is Founder & Principal at Zaffra, a firm focused on agile web development.

出版者:O'Reilly Media
作者:Matthew A·Russell
出品人:
页数:356
译者:
出版时间:2011-2-11
价格:GBP 30.99
装帧:Paperback
isbn号码:9781449388348
丛书系列:
图书标签:
  • 数据挖掘 
  • 社会化网络 
  • 数据分析 
  • sns 
  • Social 
  • Web 
  • O'Reilly 
  • 互联网 
  •  
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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/

具体描述

读后感

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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, dynamics, and functions of complex network...  

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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, dynamics, and functions of complex network...  

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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!

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Facebook、Twitter和LinkedIn产生了大量宝贵的社交数据,但是你怎样才能找出谁通过社交媒介正在进行联系?他们在讨论些什么?或者他们在哪儿?这本简洁而且具有可操作性的书将揭示如何回答这些问题甚至更多的问题。你将学到如何组合社交网络数据、分析技术,如何通过可视化帮助你...  

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原本是想学些数据分析的算法和思想,但是拿到这本书之后挺失望。看到第四章,全在讲如何使用twitter等社交网站的api。 只能当拓展知识面看看,了解下书里面讲到的开源工具。 另外,书的价格还不算便宜。  

用户评价

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我觉得还好啊。。。。除了撑页数的代码

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很基础……学到了一个最大团方法

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不容易,终于读完了。

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Python相关库使用说明书,要是那些库你都没听过,那还是稍微有点用

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不容易,终于读完了。

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