Consistency of co-clustering for exchangeable
array data
David Choi
(joint work with Patrick Wolfe, UCL)
Carnegie Mellon University
Oct 6, 2013
What is a network?
Network data records interactions bet
Three Models
Goodness of Fit
Goodness of Fit in Social Networks
Beau Dabbs
February 18, 2014
Beau Dabbs
Goodness of Fit in Social Networks
Three Models
Goodness of Fit
Motivation
Model Selection
Detec
36-780: Social Network
Modeling
Hierarchical Network Models
Brian Junker
132E Baker Hall
[email protected]
1/30/2014
1
Announcements
Special presentations (so far):
Feb 4: David Krackhardt, on (I thi
36-780: Social Network
Modeling
QAP, ERGM, Graphical Models, and Networks
Brian Junker
132E Baker Hall
[email protected]
1/21/2014
1
Outline
A few words about QAP
Simulation: Permutation tests
ERGMs
36-780: Social Network
Modeling
ERGMs as models
Brian Junker
132E Baker Hall
[email protected]
1/16/2014
1
Outline
Special cases of ERGMs
Erdos-Renyi-Gilbert model
Beta model
p1 model
Exponential Ran
36-780: Social Network
Modeling
CID Networks
Brian Junker
132E Baker Hall
[email protected].cmu.edu
1/28/2014
1
Announcements
Special presentations (so far):
Feb 4: David Krackhardt, on (I think) transitive
36-780: Social Network
Modeling
Latent space and stochastic block models
Brian Junker
132E Baker Hall
[email protected]
1/23/2014
1
Outline
Latent Space Models
Motivations and a simple formulation
An
36-780: Social Network
Modeling
Introduction
Brian Junker
132E Baker Hall
[email protected]
1/14/2014
1
Class Materials
In Class
These notes
On web (http:/www.stat.cmu.edu/~brian/780)
Class notes, ha
36-780: Social Network Modeling
HW01
1. Please go to the Discussion Board of the course Blackboard page, and post a new thread
under the Introduction forum, introducing yourself:
What program are you
02-ergm-the-model.r
02-ergm-the-model.r
library(ergm)
# fitting the p1 model
#
#
#
#
#
#
#
#
#
the data, and at least the idea of the models, comes from the paper
summary(third.p1 <- ergm(third.net ~
36-780: Social Network Modeling
HW06
Hierarchical Network Models
Due Tues 11 Feb 2014
Reading, etc.:
This assignment is based on the following two papers, which you should read [both are available i
36-780: Social Network Modeling
HW05
Project Proposals
Please submit a pdf, text or doc le with your project proposal for 36-780. Submit to Blackboard (look under
Assignments for a section called Proj
36-780: Social Network Modeling
HW04
1. Please read the papers
Ho, P. D., Raftery, A. E., & Handcock, M. S. (2002). Latent space approaches to social
network analysis. Journal of the American Statist
36-780: Social Network Modeling
HW02
1. Please read the papers
Wasserman, S. & Pattison, P. (1996). Logit models and logistic regressions for social
networks I. An introduction to Markov graphs and p
36-780: Social Network Modeling
HW03
1. Please read the paper
Shalizi, C. R., & Thomas, A. C. (2011). Homophily and contagion are generically confounded in observational social network studies. Socio