Professor: Boleslaw Szymanski — email@example.com
Lectures: Mon & Thu 12:00 - 13:40, Lally02
Office Houres: Mon 15:00 - 16:00, Wed 13:00 - 14:00, remote webex
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 field. 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 processes on networks.
This is a web page for the class which contains the basic information about the course, lecture notes, assignments and thier solutions, and comments. 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, and (vii) Social networks and communities.