Type of Credit: Elective
Credit(s)
Number of Students
This course will introduce some of the main topics on Network Theory including: Representing and Measuring Networks, Empirical Background on Social and Economic Networks, Random-Graph Models of Networks, Strategic Network Formation, Stability and Efficiency of Networks, Diffusion and Learning and Networked Markets.
能力項目說明
The course aims to help attendees build up the ability of recognizing relevant social and economic topics, setting up network models and analyzing their equilibria and related properties. These include how to recognize differences between random networks and social network, to build up a random/social network model according to observed stylized facts on specific social and economic topics, to characterize/predict the related properties of the underlying model.
| 教學週次Course Week | 彈性補充教學週次Flexible Supplemental Instruction Week | 彈性補充教學類別Flexible Supplemental Instruction Type |
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The course includes a series of lectures on Network Economics and paper presentations by participants. The topics of the lectures are listed as follows.
1. Introduction to Network Theory
2. Representing and Measuring Networks
3. Empirical Background on Social and Economic Networks
4. Random-Graph Models of Networks
5. Strategic Network Formation
6. Stability and Efficiency of Networks
7. Diffusion and Learning
8. Networked Markets
9. Evolutionary Graph Theory
10. Relevant Applications
(1) Mid-term paper presentation on one of listed reference papers (in group, 50%); and (2) End of Term Report: May be your original term paper or reports/comments on one of listed reference papers.
Matthew O. Jackson, Social and Economic Networks, Princeton Univ. Press, 2008.
Sanjeev Goyal, Connections: An Introduction to the Economics of Networks, Princeton Univ. Press, 2007.