Complex networks arise through the analysis of complex systems in
many areas of study.Well
known areas include social network analysis (e.g. Facebook friends),
text citation analysis (e.g. Wikipedia) and biological network
analysis (e.g. protein-protein interactions).Complex networks can be
distinguished from random networks and from regular networks, such
as grids, which are often created by design for applications such as
interconnecting computers.This
course examines methods of analysis of complex networks and how this
analysis can be applied to enhance our understanding of real-world
systems.
Prerequisites
COS 226 and some experience with linear algebra.
Administrative Information
Meeting time: Monday,
Wednesday 1:30-2:50pm Meeting place: Computer Science Building Room 301 Extra meetings: If we need to make up a class due to my
schedule, we may have a class during reading period and/or an
evening class during the semester. Class participants will be
consulted before any make-up class time is chosen.
Professor:Andrea
LaPaugh, aslp@cs. ...
304 Computer Science Building, 258-4568 Office hours: Mon. 3:00-4:30pm or by
appointment. Easiest way to make an appointment is by email.
For email addresses specified above, "..." stands for princeton.edu
Reading
Required reading:
I will assign reading primarily out of two textbooks. These
textbooks are listed as recommended, not required, on Blackboard and
at Labyrinth Books. Both books are available
online. Printed versions are on reserve at
the Engineeering Library.
I will also assign some conference papers and may assign brief
portions of other textbooks available online.
Work of the Course
The course will have the following components weighted as indicated:
Problem sets 20%
Midterm exam 15%
Second exam 20%
Class participation 10%
Project 35%
Problem sets
There will be 6 problem sets distributed throughout the
semester.
Exam
There will two exams during the semester, each covering roughly half
the course material. There is no exam during final exam period.
Project
Students will do a final project either individually or in
pairs. The choice of topic is up to each individual or pair,
but must be related to the material of the course. The project must
be approved in advance by the course instructor. See the project page for more information
and a list of suggested projects.
Communication
The course has a Piazza account: COS 496
- Fall 2017. All assignments and class notes
will be made available on the
Piazza course account. Piazza will also be used for all
course announcements and quick questions. Students
are responsible for registering on Piazza and adding themselves to
the course account. Students are also responsible
for monitoring the postings on the Piazza cos 435 site for
important course announcements. Piazza is great for
sharing questions and answers with the class (private questions
addressed only to the instructors are also possible). However,
an old fashioned face-to-face meeting is still best for addressing
deeper confusions and other technical discussions.
The course schedule is on the Schedule and
Assignments page of the course Web site. Reading assignments
will be posted for each class meeting. Schedule changes will
be made on Schedule and Assignments and announced on
Piazza.
Syllabus
(This is the general list of topics, approximately in the order
we will cover them. Please see Schedule
and Assignments for specific topics and reading assignments
as the semester progresses)
Graph Concepts review
Properties of networks
Visualization
Applications of properties
Computational aspects of property analysis
Types of networks
Finding network structure, e.g.communities
Mathematical of networks: generative models
Networks under change
Activity on networks, e.g. modeling epidemics
A.S. LaPaugh content last changed SFri Sep 22
16:00:03 EDT 2017 Copyright 2017
Andrea S. LaPaugh
