INFSCI 2125 NETWORK SCIENCE & ANALYSIS

This course explores networks as a primary metaphor and mechanism for a variety of information-related phenomena. The advancement of interconnected information and communication technologies has made networks one of the dominant ways of analyzing the use and flow of information among individuals, institutions, and societies. We will frequently turn to a diverse array of applications and problem areas to motivate and understand the use of networks for analyzing real-world networked systems. The course starts with the basics of graph theory and moves to studying network structures and how they emerge through various network models. We begin with the traditional random graph model and we move to more realistic, socially-inspired models such as preferential attachment. We will further explore processes in a network such as diffusion of epidemics and network search. Additional topics might include attacking the power grid, measuring systemic resilience to attack, and understanding the structure of collaboration in science.

Academic Career: Graduate
Course Component: Lecture
Grade Component: Grad Letter Grade
Course Requirements: PLAN: ISCI-MSI, ISCI-AC, BDAL-ACG, SAISYS-ACG, SAIS-ACG, ISCI-PHD, INFSCI-MSI, INFSCI-AC, INFSCI-PHD
Minimum Credits: 3
Maximum Credits: 3

Current Sections

Fall 2022

Class No.DaysTimesRoomInstructor(s)TA(s)Type
26012 (1060)TuTh9:30 am - 10:45 amIS 305M. Frank
LEC