Description
| Product ID: | 9781108471138 |
| Product Form: | Hardback |
| Country of Manufacture: | GB |
| Title: | A First Course in Network Science |
| Authors: | Author: Clayton A. Davis, Santo Fortunato, Filippo Menczer |
| Page Count: | 300 |
| Subjects: | Information theory, Information theory, Data science and analysis: general, Sociology, Organizational theory and behaviour, Combinatorics and graph theory, Statistical physics, Biology, life sciences, Databases and the Web, Data analysis: general, Sociology, Organizational theory & behaviour, Combinatorics & graph theory, Statistical physics, Biology, life sciences, Databases & the Web |
| Description: | Select Guide Rating A practical introduction to network science suitable for students studying diverse programs such as business, cognitive science, neuroscience, sociology, biology, and engineering. A wide range of examples and exercises develop readers' understanding, and Python programming tutorials provided online reinforce coding skills. 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. |
| Imprint Name: | Cambridge University Press |
| Publisher Name: | Cambridge University Press |
| Country of Publication: | GB |
| Publishing Date: | 2020-01-30 |
