Librería Portfolio

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.

Specifically designed for introductory-level undergraduate courses in disciplines that use networks, such as business, communications, cognitive science, neuroscience, sociology, biology, and engineering, among others
Utilizes clear language with no technical jargon and extensive use of full color figures to illustrate key concepts
Allows students to immediately start writing Python code to manipulate, visualize, and analyze real-world networks
Includes an abundance of worked examples and homework problems to reinforce students´ understanding of the material and an extensive suite of programming tutorials are hosted online to develop practical coding skills



Table of Contents

Preface
Introduction
1. Network elements
2. Small worlds
3. Hubs
4. Directions and weights
5. Network models
6. Communities
7. Dynamics
Appendix A. Python tutorial
Appendix B. NetLogo models
Bibliography
Index.