See the timetable here. The first course in Sep 20.
The bulk of the course will be based on the following on-line book.
As a starter read:
- this recent article on mining social networks,
- this other one on the networked dominos of public debt in the eurozone (check the debt graph in particular)
- this general short paper on why model
- watch this nice little movie illustrating the rich-get-richer principle (also known as preferential attachment, or cumulative advantage; the diameter of a node is proportional to its degree, and so is the probability that a new node will bind it).
- Markets and Beliefs (Chap. 22) (revised version Sep 30)
- Epidemics (Chap. 21) (revised Oct 7)
- Random graphs, criticality (this is a complement to the book)
- Oct 21: guest lecture from Miguel Lurgi on Ecological networks.
- No class on Oct 25!
- Oct 28: Prediction markets; you can check this or this more elaborate paper on Artificial Prediction Markets
- Nov 1: second guest lecture from Miguel Lurgi on Ecological networks.
- Nov 4: Prediction markets (II) slides.
- Nov 8, 11, 15, 18: Communities, Girvan-Newman's algorithm slides (revised Nov 18).
- Nov 22: guest lecture from David Pugh on the Schelling Segregation model.
- Nov 25: social influence on facebook slides
- Nov 29, Dec 1: revisions.
Course work (to be returned by Jan 12; new deadline!): exercises from the Easley-Kleinberg book: 3.7.1 to 3.7.5, 22.11.1 and 22.11.2.
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