作者:MaksimTsvetovat/AlexanderKouznetsov
出版社:O'ReillyMedia
副标题:Findingconnectionsonthesocialweb
出版年:2011-10-7
页数:190
定价:USD24.99
装帧:Paperback
ISBN:9781449306465
内容简介
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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.
评论 ······
2012年,我与友人们翻译的一本书,社会网络分析入门的好书。主要介绍的是Networkx。
:无
入门。
噗。。我尽量看完了。。这书好像不咋的。。
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