×


 x 

Shopping cart
Maksim Tsvetovat - Social Network Analysis for Startups - 9781449306465 - V9781449306465
Stock image for illustration purposes only - book cover, edition or condition may vary.

Social Network Analysis for Startups

€ 26.99
€ 26.75
FREE Delivery in Ireland
Description for Social Network Analysis for Startups Paperback. 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). Num Pages: 190 pages, Illustrations. BIC Classification: UMX. Category: (XV) Technical / Manuals. Dimension: 233 x 179 x 11. Weight in Grams: 332.
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.

Product Details

Publisher
O´Reilly Media United States
Number of pages
190
Format
Paperback
Publication date
2011
Condition
New
Number of Pages
190
Place of Publication
Sebastopol, United States
ISBN
9781449306465
SKU
V9781449306465
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-1

About Maksim Tsvetovat
Maksim Tsvetovat is an interdisciplinary scientist, a software engineer, and a jazz musician. He has received his doctorate from Carnegie Mellon University in the field of Computation, Organizations and Society, concentrating on computational modeling of evolution of social networks, diffusion of information and attitudes, and emergence of collective intelligence. Currently, he teaches social network analysis at George Mason University. He is also a co-founder of DeepMile Networks, a startup company concentrating on mapping influence in social media. Maksim also teaches executive seminars in social network analysis, including "Social Networks for Startups" and "Understanding Social Media for Decisionmakers". Alex Kouznetsov is an open-source software developer. He has developed a number of social network analysis tools for the industry, from large-scale data collection to online analysis and presentation tools.

Reviews for Social Network Analysis for Startups

Goodreads reviews for Social Network Analysis for Startups


Subscribe to our newsletter

News on special offers, signed editions & more!