Social Networks: Statistical Approaches

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Date(s) - 11/15/2019 - 11/16/2019
9:00 am - 5:00 pm

Temple University Center City

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Social Networks: Statistical Approaches, Taught by Dr. John Skvoretz
November 15-16, Philadelphia, Pennsylvania

Social network analysis is a set of methods for describing, quantifying and analyzing the properties of social networks. This seminar is survey of statistical methods for analyzing social network data. It will focus on testing hypotheses about network structure (e.g. reciprocity, transitivity, centralization), the formation/dissolution of ties based on attributes (e.g. homophily), and local structural effects. Topics include statistical models for local structure (dyads and triads) and graph-level indices, biased net models for complete networks and for aggregated tie count data, exponential random graph models, and stochastic actor-oriented models. Each morning and afternoon will be divided into a presentation of methods and a lab using those methods.

This Statistical Horizons seminar costs $995 to attend, which covers all of the seminar materials. Click here to learn more or to sign up.

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