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Evolution of Social Networks
 
 

Evolution of Social Networks [Hardcover]

Patrick Doreian , Frans Stokman

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Product Details

  • Hardcover: 272 pages
  • Publisher: Routledge; 1 edition (April 1 1997)
  • Language: English
  • ISBN-10: 9056995383
  • ISBN-13: 978-9056995386
  • Product Dimensions: 15.6 x 23.4 x 1.8 cm
  • Shipping Weight: 481 g
  • Amazon Bestsellers Rank: #1,944,049 in Books (See Top 100 in Books)

Product Description

Product Description

This book answers the question of whether we can apply evolutionary theories to our understanding of the development of social structures.
Social networks have increasingly become the focus of many social scientists as a way of analyzing these social structures. While many powerful network analytic tools have been developed and applied to a wide range of empirical phenomena, understanding the evolution of social organization still requires theories and analyses of social network evolutionary processes. Researchers from a variety of disciplines have combined their efforts in what is an indication of some very promising future research and the work represented in this volume provides a basis for a sustained analysis of the evolution of social life.

Inside This Book (Learn More)
First Sentence
This volume is predicated on two very simple assumptions: there is a need for explicit dynamic social network models and the social networks community is ready for them. Read the first page
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Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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Amazon.com: 4.0 out of 5 stars (1 customer review)

1 of 2 people found the following review helpful
4.0 out of 5 stars perhaps apply ideas to social networking startups?, Mar 4 2005
By W Boudville - Published on Amazon.com
This review is from: Evolution of Social Networks (Hardcover)
In light of all the recent startups in the social networking field, this book offers a sober and scholarly assessment of the main concepts. Written by scientists, and for scientists, it avoids the hype promulgated by various websites like Ryze, Friendster and LinkedIn.

The book studies what we might, perhaps, be able to learn from a close analysis of social dynamics. The treatment is heavily mathematical, and is not for a casual reader. It should be noted that any insights that might be extracted from the book, and applied in a website, may not be protected by a patent filing. Since the book constitutes a public dissemination of its ideas. So such insights unfortunately have little protection.
 Go to Amazon.com to see the review  4.0 out of 5 stars 

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