SNA techniques are derived from sociological and social-psychological theories and take into account the whole network (or, in case of very large networks such as Twitter -- a large segment of the network). Thus, we may arrive at results that may seem counter-intuitive -- e.g. that Jusin Bieber (7.5 mil. followers) and Lady Gaga (7.2 mil. followers) have relatively little actual influence despite their celebrity status -- while a middle-of-the-road blogger with 30K followers is able to generate tweets that "go viral" and result in millions of impressions. O'Reilly's "Mining Social Media" and "Programming Collective Intelligence" books are an excellent start for people inteseted in SNA. This book builds on these books' foundations to teach a new, pragmatic, way of doing SNA. I would like to write a book that links theory ("why is this important?", "how do various concepts interact?", "how do I interpret quantitative results?") and practice -- gathering, analyzing and visualizing data using Python and other open-source tools.
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噗。。我盡量看完瞭。。這書好像不咋的。。
评分2012年，我與友人們翻譯的一本書，社會網絡分析入門的好書。主要介紹的是Networkx。
评分2012年，我與友人們翻譯的一本書，社會網絡分析入門的好書。主要介紹的是Networkx。
评分前麵部分是社會網絡與復雜網絡的結閤點,後麵是技術上的東西,很全,很入門...
评分2012年，我與友人們翻譯的一本書，社會網絡分析入門的好書。主要介紹的是Networkx。
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