Data Science and Complex Networks

Data Science and Complex Networks Real Cases Studies With Python

First edition

Hardback (15 Sep 2016)

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Publisher's Synopsis

This book provides a comprehensive yet short description of the basic concepts of Complex Network theory. In contrast to other books the authors present these concepts through real case studies. The application topics span from Foodwebs, to the Internet, the World Wide Web and the Social Networks, passing through the International Trade Web and Financial time series. The final part is devoted to definition and implementation of the most important network models. The text provides information on the structure of the data and on the quality of available datasets. Furthermore it provides a series of codes to allow immediate implementation of what is theoretically described in the book. Readers already used to the concepts introduced in this book can learn the art of coding in Python by using the online material. To this purpose the authors have set up a dedicated web site where readers can download and test the codes. The whole project is aimed as a learning tool for scientists and practitioners, enabling them to begin working instantly in the field of Complex Networks.

Book information

ISBN: 9780199639601
Publisher: OUP OXFORD
Imprint: Oxford University Press
Pub date:
Edition: First edition
DEWEY: 003.72
DEWEY edition: 23
Language: English
Number of pages: viii, 130
Weight: 436g
Height: 179mm
Width: 253mm
Spine width: 12mm