Social and Economic Networks
Jaromir Kovarik (University of the Basque Country and CERGE-EI)
Email: jaromir.kovarik@ehu.eus.
This webpage contains the material for a half-semester course "Social and Economic Network," taught in February 2015 in CERGE-EI, Prague, Czech Republic.
For a much shorter, three-day version of this course taught in in January 2019 in the Burgundy School of Business, Dijon, France, clique HERE.
SLIDES
Slides Week 1:
Initial Examples
Background on networks
Slides Week 2:
Network Formation Random models
Strategic network formation
Slides Week 3:
Basic diffusion in networks
(Non-strategic) Learning in networks
Slides Week 4:
Games on networks (complete and updated)
Research Topics
HOMEWORKS
Homework 1
Please, see the code in Additional Material below for a guidance on how to use R for network analysis.
Data for Homework 1 (in .csv format):
(i) nodes1
(ii) nodes2
(iii) links1
(iv) links2
(v) heterogeneity
The data map the friendship networks in a large group of first-year undergraduates.
Network 1 is the friendship network at the end of the first week of class; Network 2 is the network of the same people at the end of the first academic year (10 months later).
The heterogeneity data contains several characteristics elicited from these people during the year under study. The characteristics are described in Homework 1.pdf, above.
Homework 2
ADDITIONAL MATERIAL
Statistical package R manual: An introduction to R in pdf format.
Igraph package. Manual to the igraph package for R. This package is designed for performing network analysis.
To install igraph, you can simply type install.packages("igraph") in R.
DATA;
The data and code used in the R tutorial in the class:
(1) Nodes (nodelist.csv)
(2) Links (linklist.csv)
(3) Node information (data.csv)
(4) R code (Rcode.R)