matteom95/network-dynamics-and-learning

Homework and exercises from course Network Dynamics and Learning

Network Dynamics and Learning

Homework and laboratories of the Network Dynamics and Learning course for the MSc in Data Science and Engineering at Politecnico di Torino.

Homework 1:

This homework deals with connectivity, network flows and user equilibria in traffic networks applied to the LA highway network.

Homework 2:

Study how the model an opinion dynamics and convergence to consensus. Markov chains are also used to simulate the movement of particles in a network.

Homework 3:

During the fall of 2009 there was a large pandemic of the H1N1-virus, commonly known as the swine-flu. During this pandemic it is estimated that about 1.5 million people in Sweden were infected. As an attempt to stop the pandemic and reduce excess mortality the government issued a vaccination program beginning in week 40 of 2009. During the weeks that followed they vaccinated more than 60% of the Swedish population. The aim of this homewrok is to simulate the pandemic with the goal of learning the networkstructure characteristics and disease-dynamics parameters of the pandemic in Sweden 2009. This task will be divided into 4 parts where the focus of each part is to:

1. get started and learn how to: a. simulate a pandemic on a known graph; b. generate a random graph;
2. simulate the disease propagation on a random graph without vaccination;
3. simulate disease propagation on a random graph with vaccination;
4. estimate the network-structure characteristics and disease-dynamics parameters for the pandemic in Sweden during the fall of 2009. All numbers regarding the H1N1 pandemic in Sweden during the fall of 2009 have been taken from the a report by the Swedish Civil Contingencies Agency (Myndigheten f¨or samh¨allsskydd och beredskap, MSB) and the Swedish Institute for Communicable Disease Control (Smittskyddsinstitutet, SMI).

All simulations are written in Python Notebook and use the NetworkX library.