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Connections permiate the social, technical and natural systems around us. In this course we will study the networks formed by these connections (using graph theory), and the interaction dynamics that occur over them (using game theory). These tools will give us insight into how groups, markets and societies function, with particular emphasis on emerging online phenomena.
Learning objectives. At the end of this course students should be able to:
- (1) understand the basics of graph theory and social network analysis
- (2) understand the basics of game theory
- apply (1) and (2) to model the Web and other information systems,
Prerequisites: none, but students should have some programming background
Instructor: Lada Adamic
Reading: Our textbook will be 'Networks, Crowds, and Markets' by Easley and Kleinberg. It is available online in PDF form, but you can purchase it if you'd like a hard copy.
Accommodations for students with disabilities
Academic integrity policy
You should bring a laptop to every class for hands-on in-class exercises and for using LectureTools. If you don't have one, please contact the instructor to arrange for a loaner laptop during classtime.
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Course Syllabus |
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date |
subject |
reading (omit advanced material) |
assignment due (at 5pm) |
| 1 |
Thu 1/6 |
overview |
Ch 1 |
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| 2 |
Tue 1/11 |
games |
Ch 6 |
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| 3 |
Thu 1/13 |
games (continued)
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| 4 |
Tue 1/18 |
evolutionary game theory |
Ch 7 |
PS 1 |
| 5 |
Thu 1/20 |
graphs, modeling network traffic using game theory |
Ch 2, 8
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| 6 |
Tue 1/25 |
power laws and rich-get richer phenomena
|
Ch 18
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PS 2
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| 7 |
Thu 1/27 |
strong and weak ties |
Ch 3 |
|
| 8 |
Tue 2/1 |
networks in their surrounding contexts |
Ch 4 |
PS 3 |
| 9 |
Thu 2/3 |
structure of the web and other networks |
Ch 13 |
|
| 10 |
Tue 2/8 |
link analysis and web search |
Ch 14 |
PS 4 |
| 11 |
Thu 2/10 |
small world phenomenon |
Ch 20 |
|
| 12 |
Tue 2/15 |
epidemics |
Ch 21 |
PS 5 |
| 13 |
Thu 2/17 |
information cascades |
Ch 16 |
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| 14 |
Tue 2/22 |
midterm review |
|
initial reports |
| 15 |
Thu 2/24 |
midterm (in class, open book) |
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| |
Tue 3/1 |
-- winter break -- |
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|
| |
Thu 3/3 |
-- winter break -- |
|
|
| 16 |
Tue 3/8 |
network effects |
Ch 17 |
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| 17 |
Thu 3/10 |
cascading behavior in networks |
Ch 19 |
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| 18 |
Tue 3/15 |
auctions |
Ch 9 |
response comments |
| 19 |
Thu 3/17 |
matching markets |
Ch 10 |
demo proposal |
| 20 |
Tue 3/22 |
sponsored search markets |
Ch 15 |
PS 6 |
| 21 |
Thu 3/24 |
network models of markets with intermediaries |
Ch 11 |
|
| 22 |
Tue 3/29 |
bargaining and power in networks |
Ch 12 |
PS 7 |
| 23 |
Thu 3/31 |
markets and information |
Ch 22 |
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| 24 |
Tue 4/5 |
voting |
Ch 23 |
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| 25 |
Thu 4/7 |
property rights |
Ch 24 |
|
| 26 |
Tue 4/12 |
group demos |
|
PS 8 |
| 27 |
Thu 4/14 |
group demos |
|
|
| 28 |
Tue 4/19 |
review session |
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demo write-up |
| |
Tue 4/26 |
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take-home final due via cTools |
Grading:
| assignment type |
% course grade |
| participation |
5 |
| 9 problem sets |
25 |
| midterm exam |
20 |
| final exam |
25 |
| group demo & demo write-up |
15 |
| group report |
10 |
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