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Data science and complex networks : real cases studies with Python

Author: Guido Caldarelli; Alessandro Chessa
Publisher: Oxford : Oxford University Press, 2016.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:
"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  Read more...
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Document Type: Book
All Authors / Contributors: Guido Caldarelli; Alessandro Chessa
ISBN: 9780199639601 0199639604
OCLC Number: 1004274542
Notes: First edition published in 2016, Reprinted 2017.
Description: viii, 130 pages : illustrations ; 25 cm
Contents: Food Webs --
International Trade Networks and World Trade Web --
The Internet Network --
World Wide Web, Wikipedia and Social Networks --
Financial Networks --
Modelling.
Other Titles: Data science & complex networks
Responsibility: Guido Caldarelli, Alessandro Chessa.

Abstract:

"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."--

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