Professor: Boleslaw Szymanski — email@example.com
Lectures: Mon & Thu 12pm - 1:40pm, J-ROWL 2C25
Office Houres: Tue 14:00 - 15:00, Thu 10:30am - 11:30am, MRC 335A
Textbook: Albert Laszlo Barabasi Network Science, Cambridge University Press, 2016
Description: This course offers the introduction to network science and review of current research in this area. Classes will interchangeably present chapters from the textbook and the related current research. The emphasis will be on mathematical background of network science: graphs and networks; random networks and various types of scale-free networks; network properties such as assortatitivity, mobility, robustness, social networks and communities; and dynamics of spreading in networks.
This is a web page for the class which contains the basic information about the course, lecture notes, This page will also contain the corrections and general news about the course.
Course Content includes: (i) Mathematical background of network science: graphs and networks, (ii) Random networks and their properties, (iii) The scale-free property, small world networks and Barabasi-Alert model, (iv) Evolving networks, (v) Degree Correlation (vi) Network robustness, (vii) Social networks and communities, and (viii) Spreading phenomena.
12-12:50pm Introduction and Overview: Six Degree of separation see https://youtu.be/zK1Cb9qj3qQ
16-16:50pm Community structure in complex networks, Prof. Santo Fortunato, Indiana University
Assignment 1 due October 30, 2016 noon, contacts firstname.lastname@example.org
Assignment 1: Synthetic Networks due October 30, 2016