"Exponential-family Random Network Models for Social Networks" (Next Week at the Statistics Seminar)
Attention conservation notice:
Only of interest if you (1) care about statistical models of networks, and (2)
will be in Pittsburgh on Monday.
Constant readers will recall that I have often in the past boosted Mark
sensible inference with power laws,
and modeling network structure
statistically. I am thus extremely happy to announce next week's
Random Network Models for Social Networks"
- Abstract: Random graphs, where the connections between nodes are
considered random variables, have wide applicability in the social sciences.
Exponential-family Random Graph Models (ERGM) have shown themselves to be a
useful class of models for representing complex social phenomena.
- We generalize ERGM by also modeling the attributes of the social actors as
random variates, thus creating a random model of both the relational and
individual data, which we call Exponential-family Random Network Models (ERNM).
- This provides a framework for expanded analysis of network processes,
including a new formulation for network progression, where the outcomes,
covariates and relations are socially endogenous. In this talk, we focus on a
new class of latent cluster models and network regression.
- (Joint work with Ian M. Fellows.)
- Time and place: 4--5 pm on Monday, 12 November 2012, in the
Adamson Wing (Room 136) of Baker Hall
As always, the talk is free and open to the public.
Enigmas of Chance
Posted at November 08, 2012 12:15 | permanent link