Professor: Boleslaw Szymanski — boleslaw.szymanski@gmail.com
Lectures: Mon & Thu 12:00 - 13:40, Sage 4510
Office Hours: Mon 14:00 - 14:45, Wed 11:00 - 11:45, webex by appointment
Teaching Assistant: Mauricio Gouvea Gruppi — mauricio.gruppi@gmail.com
Office Hours: Wednesday 15:00 = 16:00, webex at https://rensselaer.webex.com/meet/gouvem or by appointment
Textbook: Albert Laszlo Barabasi Network Science, Cambridge University Press, 2016
Description: This course offers an introduction to Network Science and a 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 the mathematical background of network science: graphs and networks; random networks and various types of scale-free networks; and on network properties such as assortativity, mobility, and 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 their 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-Albert model, (iv) Evolving networks, (v) Degree Correlation (vi) Network robustness, and (vii) Social networks and communities.
Overview and Introduction to Network Science (textbook chapter 1)
Overview Introduction to Network Science (pdf)(textbook chapter 1)
Research seminar: Detection of the source of spread in complex networks
Research seminar: Detection of the source of spread in complex networks (pdf)
Research seminar: Detection of the source of spread in complex networks Part II
Research seminar (pdf): Detection of the source of spread in complex networks Part II
Introduction to Network Science Part II (textbook chapter 1)
Introduction to Network Science Part II (pdf)(textbook chapter 1)
Graph Theory (textbook chapter 2) and Topics for Grad Presentations
Graph Theory (pdf) (textbook chapter 2) and Topics for Grad Presentations
Scale Free Networks (textbook chapter 3)
Scale Free Networks (pdf)(textbook chapter 3)
A guide for the graduate experiement plan write up due before lecture 15 on Oct. 17, 2022