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Social Network Analysis for Startups, Paperback by Tsvetovat, Maksim; Kouznet...
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Última actualización el 25 jul 2025 04:36:33 H.EspVer todas las actualizacionesVer todas las actualizaciones
Características del artículo
- Estado
- Book Title
- Social Network Analysis for Startups
- ISBN
- 9781449306465
Acerca de este producto
Product Identifiers
Publisher
O'reilly Media, Incorporated
ISBN-10
1449306462
ISBN-13
9781449306465
eBay Product ID (ePID)
108992704
Product Key Features
Number of Pages
190 Pages
Language
English
Publication Name
Social Network Analysis for Startups : Finding Connections on the Social Web
Publication Year
2011
Subject
Social Aspects / General, Entrepreneurship, General
Type
Textbook
Subject Area
Computers, Social Science, Business & Economics
Format
Trade Paperback
Dimensions
Item Height
0.4 in
Item Weight
11.9 Oz
Item Length
9.1 in
Item Width
7 in
Additional Product Features
Intended Audience
Scholarly & Professional
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
006.312
Table Of Content
Preface Chapter 1: Introduction Chapter 2: Graph Theory--A Quick Introduction Chapter 3: Centrality, Power, and Bottlenecks Chapter 4: Cliques, Clusters and Components Chapter 5: 2-Mode Networks Chapter 6: Going Viral! Information Diffusion Chapter 7: Graph Data in the Real World Data Collection Installing Software
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., 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)., Does your startup rely on social network analysis? This concise guide provides a statistical framework to help you identify social processes hidden among the tons of data now available. Social network analysis (SNA) is a discipline that predates Facebook and Twitter by 30 years. Through expert SNA researchers, you'll learn concepts and techniques for recognizing patterns in social media, political groups, companies, cultural trends, and interpersonal networks. You'll also learn how to use Python and other open source tools--such as NetworkX, NumPy, and Matplotlib--to gather, analyze, and visualize social data. This book is the perfect marriage between social network theory and practice, and a valuable source of insight and ideas. Discover how internal social networks affect a company's ability to perform Follow terrorists and revolutionaries through the 1998 Khobar Towers bombing, the 9/11 attacks, and the Egyptian uprising Learn how a single special-interest group can control the outcome of a national election Examine relationships between companies through investment networks and shared boards of directors Delve into the anatomy of cultural fads and trends--offline phenomena often mediated by Twitter and Facebook
LC Classification Number
QA76.9.D343
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