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Data science and complex networks: real case studies with Python

Data science and complex networks: real case studies with Python
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Field name Details
Dewey Class 003 (DDC 23)
Title Data science and complex networks : real case studies with Python ([EBook]) / Guido Caldarelli and Alessandro Chessa
Author Caldarelli, Guido
Added Personal Name Chessa, Alessandro
Other name(s) Oxford Scholarship Online
Publication Oxford, U.K. : Oxford University Press , 2016
Physical Details 1 online resource
ISBN 9780191782916
Note Print publication date: 2016. - Print ISBN-13: 9780199639601. - Published to Oxford Scholarship Online: December 2016
Summary Note 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.:
Mode of acces to digital resource Digital reproduction.- Oxford : Oxford University Press, 2016. - Mode of access : World Wide Web. - System requirements : Internet Explorer 6.0 (or higher) of Firefox 2.0 (or higher). Available as searchable text in HTML format.
System details note Online access to this digital book is restricted to subscribing institutions through IP address (only for internal SISSA users)
Internet Site http://dx.doi.org/10.1093/acprof:oso/9780199639601.001.0001
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