SEMINAR SERIES on ICTs POLICY RESEARCH :: Professor Pavel N. Krivitsky

Data: Tuesday, December 15th 2009, 16:30pm
Place: Room C01, Central Pavilion, Instituto Superior Técnico, Lisbon, Portugal

Models for Data-Driven Simulation of Sexual Partnership Networks in Changing Populations

Professor Pavel N. Krivitsky, visiting research scientist at Heinz College and the Department of Statistics of Carnegie Mellon University

Abstract:
Models of dynamic networks --- networks that evolve over time --- have manifold applications. Applications in epidemiology present their own challenge, in that the data available are often limited to egocentric views of the network processes of interest, and in that evolution of these networks comprises not only changes in relationship states but also changes in attributes and numbers of actors. We develop and apply a discrete-time generative model for social network evolution that seeks to inherit the richness and flexibility of exponential family random graph models (ERGMs) and facilitate modeling of tie duration distributions, while avoiding pitfalls of some of the past efforts in this area, and adjusting for changing network size and composition.
Method of Moments is used to fit this model to observed cross-sectional and egocentric networks and incorporate available tie duration data.

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Topic: Professor Pavel Krivitsky - Presentations
Date: Tuesday, 15 December 2009
Time: 16:30, GMT Time (London, GMT)
Meeting Number: 844 319 810
Meeting Password: EPP

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