Professor: Boleslaw Szymanski — boleslaw.szymanski@gmail.com
Lectures: Mon & Thu 12:00 - 13:40, Amos Eaton 216
Office Hours: Mon 14:00 - 15:00, Wed 11:30 - 12:30, webex or AE335A by appointement
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)
Graph Theory II and Random Networks (textbook chapter 2)
Graph Theory II and Random Networks (pdf) (textbook chapter 2)
Random and Small_World_Networks (textbook chapter 3-4)
Random and Small_World_Networks (pdf)(textbook chapter 3-4)
Detailed Topics for Graduate Presentations still available, selection due before class 6, 9/16/21
Scale_Free_Networks and Barabasi Albert Networks
Scale_Free_Networks and Barabasi Albert Networks (pdf)
Communities in US Senate, Research
Communities in US Senate, Research (pdf)
Evolving_Networks and Degree Correlation (textbook chapters 5, 7)
Evolving_Networks and Degree Correlation (pdf) (textbook chapters 5, 7)
Modeling Homophily, James Flamino, Ph.D. NEST
Research presentationsQuantifying the evolution of individual scientific impact, Zirui Yan (G)
The product space conditions the development of nations, Avni Solace (UG)Epidemic, Lauren Mainhardt (UG)
Network Patches, Tasha Sherpa (UG)
Beyond the degree distribution, Angelica Loshak