Read and Download Social Network Analysis for Startups PDF
ByMaksim Tsvetovat,Alexander Kouznetsov
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“Never trust anyone who has not brought a book with them.” -Daniel Handler
Synopsis
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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