A First Course in Network Science (Hardcover)

Networks are everywhere: networks of friends, transportation networks and the Web. Neurons in our brains and proteins within our bodies form networks that determine our intelligence and survival. This modern, accessible textbook introduces the basics of network science for a wide range of job sectors from management to marketing, from biology to engineering, and from neuroscience to the social sciences. Students will develop important, practical skills and learn to write code for using networks in their areas of interest - even as they are just learning to program with Python. Extensive sets of tutorials and homework problems provide plenty of hands-on practice and longer programming tutorials online further enhance students' programming skills. This intuitive and direct approach makes the book ideal for a first course, aimed at a wide audience without a strong background in mathematics or computing but with a desire to learn the fundamentals and applications of network science.

General

Imprint:	Cambridge UniversityPress
Country of origin:	United Kingdom
Release date:	2020
Authors:	Filippo Menczer • Santo Fortunato • Clayton A. Davis
Dimensions:	252 x 195 x 18mm (L x W x T)
Format:	Hardcover
Pages:	300
ISBN-13:	978-1-108-47113-8
Categories:	Books > Reference & Interdisciplinary > Communication studies > Data analysis Books > Science & Mathematics > Mathematics > Combinatorics & graph theory Books > Science & Mathematics > Biology, life sciences > General Books > Reference & Interdisciplinary > Communication studies > Information theory > General Books > Social sciences > Sociology, social studies > Social institutions > General Books > Business & Economics > Business & management > Management & management techniques > Organizational theory & behaviour Books > Science & Mathematics > Physics > Thermodynamics & statistical physics > Statistical physics Books > Computing & IT > Applications of computing > Databases > Web / Internet databases Promotions
LSN:	1-108-47113-7
Barcode:	9781108471138

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