Networks: A Very Short Introduction
Nonfiction, Computers, Advanced Computing, Engineering, Neural Networks, Science & Nature, Mathematics, General Computing
| Author: | Guido Caldarelli, Michele Catanzaro | ISBN: | 9780191642739 |
| Publisher: | OUP Oxford | Publication: | November 1, 2012 |
| Imprint: | OUP Oxford | Language: | English |
| Author: | Guido Caldarelli, Michele Catanzaro |
| ISBN: | 9780191642739 |
| Publisher: | OUP Oxford |
| Publication: | November 1, 2012 |
| Imprint: | OUP Oxford |
| Language: | English |
From ecosystems to Facebook, from the Internet to the global financial market, some of the most important and familiar natural systems and social phenomena are based on a networked structure. It is impossible to understand the spread of an epidemic, a computer virus, large-scale blackouts, or massive extinctions without taking into account the network structure that underlies all these phenomena. In this Very Short Introduction, Guido Caldarelli and Michele Catanzaro discuss the nature and variety of networks, using everyday examples from society, technology, nature, and history to explain and understand the science of network theory. They show the ubiquitous role of networks; how networks self-organize; why the rich get richer; and how networks can spontaneously collapse. They conclude by highlighting how the findings of complex network theory have very wide and important applications in genetics, ecology, communications, economics, and sociology.
From ecosystems to Facebook, from the Internet to the global financial market, some of the most important and familiar natural systems and social phenomena are based on a networked structure. It is impossible to understand the spread of an epidemic, a computer virus, large-scale blackouts, or massive extinctions without taking into account the network structure that underlies all these phenomena. In this Very Short Introduction, Guido Caldarelli and Michele Catanzaro discuss the nature and variety of networks, using everyday examples from society, technology, nature, and history to explain and understand the science of network theory. They show the ubiquitous role of networks; how networks self-organize; why the rich get richer; and how networks can spontaneously collapse. They conclude by highlighting how the findings of complex network theory have very wide and important applications in genetics, ecology, communications, economics, and sociology.
