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New Specifications for Exponential Random Graph Models
TLDR
It is concluded that the new specifications of exponential random graph models increase the range and applicability of the ERGM as a tool for the statistical analysis of social networks.
Logit models and logistic regressions for social networks: I. An introduction to Markov graphs andp
TLDR
A large class of models, including several generalizations of stochastic block models, as well as models parameterizing global tendencies towards clustering and centralization, and individual differences in such tendencies are described and extended.
Measuring Visual Discomfort
A two-parameter Rasch Rating Scale model was developed to measure visual discomfort. Initially it was found that participants reporting frequent severe headache, reading difficulties of a visual
Dynamic Social Network Modeling and Analysis: Workshop Summary and Papers
TLDR
The primary purpose of the workshop was to bring together scientists who represent a diversity of views and approaches to share their insights, commentary, and critiques on the developing body of social network analysis research and application.
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