Introduction to Networks
This website contains a collection of online activities that are part of the curriculum for the Universitat de Valencia course "Biologia de Sistemas Computacional". These lessons can be used in combination Netlab, an online application designed to assist students to develop evolutionary models of complex networks.
Sergi Valverde, a CSIC tenured scientist from the Institute of Evolutionary Biology (CSIC-UPF), teaches the course.
Course notes
The course slides are available for download here.Online activities
The following online activities require a WebGL compliant web browser.
- Defining a network (link):Input a simple network by hand and adjust its layout parameters.
- A Random Graph (link): When determining the relevance of network patterns, random graphs are utilized as null models. The Erdös-Renyi model generates random graphs with a fixed connection probability (p) and a fixed number of nodes (N).
- Directed attacks and random failures (link): This interactive website teaches you about network fragmentation and the notion of percolation. How many nodes would you have to remove to fragment a city network?
- Computing path lengths (link): Interactive visualization of shortest path lengths.
- Small Worlds (link): Add 10 shortcuts in order to minimise the average path length in the urban network.
- Rich gets richer (link):Creates a scale-free network by a "preferential attachment" mechanism in which new nodes prefer to link to more popular old nodes..
- Network Modularity (link):This website enables users to build a random modular network and calculate the modularity values.
- Vaccination Game (link): Fight the spread of infectious illnesses across an array of networks. Only a limited number of vaccines are available, and the player must carefully pick which nodes must be isolated in order to minimize the spread of illness.
- Network Morphospace(link): Network morphospaces map design spaces by quantifying key network properties, revealing trade-offs and constraints that shape network evolution.