András Vörös
Department of Social Statistics, University of Manchester
SOST71032 Social Network AnalysisSpecial Needs Assistance
Introduction to Exponential Random Graph Models (ERGMs)
The tie-level model and parameter interpretation
E.g. we believe in the following model:
 # ties – parameter: – (θ1 < 0)
 # reciprocated ties – parameter: + (θ2 > 0)
 # transitive triads – parameter: + (θ3 > 0)
 no further statistics matter (θk = 0, for k > 3)
Which network is more probable?
2
Which network is more probable?
3
Which network is more probable?
Approach the problem of inference about the theoretical model from the „contribution”
of a single tie to the probability of observing the network! (conditional probability)
4
The tie-level model
5
The tie-level model

Tags: aleks, algebra, assignmentaustralia, assignmentcanada, assignmentdeadline, assignmentdone, assignmenthelpaustralia, assignmenthelpermalaysia, assignmentoman, assignmentshelp, assignmentsolutions, assignmentuniversity, assignmentwriter, assignmentwritinghelp, assignmentwritingservices, bhfyp, box, confidentialassignment, dissertationhelp, dissertationwriting, homeworkhelper, mathematics, nytassignment, onlinehelp, pearson, research, statistics, studentlife, thesiswriting