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Hierarchical Network Models

Data Sets and Examples. HNM: Hierarchical Network Models. This project deals with the development, testing and deployment of models for multiple social networks, particularly those with conditionally independent ties. We develop methods for single networks, as well as for partial pooling across ensembles of networks, and explore both the influence of covariates and interventions, and the evolution of networks over time. CID: Conditionally Independent Dyads. Our initial implementation of CIDnet and relate...

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Hierarchical Network Models | hnm.stat.cmu.edu Reviews

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Data Sets and Examples. HNM: Hierarchical Network Models. This project deals with the development, testing and deployment of models for multiple social networks, particularly those with conditionally independent ties. We develop methods for single networks, as well as for partial pooling across ensembles of networks, and explore both the influence of covariates and interventions, and the evolution of networks over time. CID: Conditionally Independent Dyads. Our initial implementation of CIDnet and relate...

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Hierarchical Network Models | hnm.stat.cmu.edu Reviews

https://hnm.stat.cmu.edu

Data Sets and Examples. HNM: Hierarchical Network Models. This project deals with the development, testing and deployment of models for multiple social networks, particularly those with conditionally independent ties. We develop methods for single networks, as well as for partial pooling across ensembles of networks, and explore both the influence of covariates and interventions, and the evolution of networks over time. CID: Conditionally Independent Dyads. Our initial implementation of CIDnet and relate...

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Hierarchical Network Models - About Us

http://hnm.stat.cmu.edu/us.html

Data Sets and Examples. TRACY M. SWEET. ANDREW C. THOMAS. Is a visiting assistant professor in the Statistics Department at Carnegie Mellon University, Pittsburgh, PA 15213; acthomas@stat.cmu.edu. In addition to his research on social network analysis, his research interests include statistics in the social and political sciences, sports statistics, and biostatistics. Dr. Thomas' work on this project has been supported by NSF grant #SES-1229271 and IES grant #R305D120004. BRIAN W. JUNKER. Is a graduate s...

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Hierarchical Network Models - Data Sets and Examples

http://hnm.stat.cmu.edu/data.html

Data Sets and Examples. Data Sets and Examples. Click on the " Workshops. Link at left, for the best current examples of data sets and analyses with CID an HNM software.

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Hierarchical Network Models - Papers & Talks

http://hnm.stat.cmu.edu/papers.html

Data Sets and Examples. Thomas, A., Dabbs, B., Sadinle, M, Sweet, T., and Junker, B. (June 2013). Conditionally independent dyad network models; an integrative framework for modeling and computing. Thomas, A., Dabbs, B., and Sweet, T. (August 2013). CIDnet: An R software package for inference with conditionally independent dyad network models. Sweet, T.M. and Junker, B.W (2013).Power to detect intervention effects on ensembles of social networks. Submitted. 33, 295–318. pdf. Paper presented by Sweet at t...

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Hierarchical Network Models - Software

http://hnm.stat.cmu.edu/software.html

Data Sets and Examples. This project has produced several important new R packages:. A flexible R package for modeling single social networks using the framework of Conditionally Independent Dyad (CID) models. An R package for fitting a hierarchical latent space model to an ensemble of networks, in order to model internvention and other covariate effects across many partially exchangeable networks.

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Hierarchical Network Models - Workshops

http://hnm.stat.cmu.edu/workshops.html

Data Sets and Examples. Intervention Effects on Social Networks. March 2014, Spring Meeting of the Society for Research on Educational Effectiveness (SREE), Washington DC. Modeling Social Networks in Education Research. June 2014, University of Virginia, Charlottsville. Social Networks in Education Research. July 2014, International Meeting of the Psychometric Society (IMPS), University of Wisconsin, Madison. Social Network Models in Education Research.

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Hierarchical Network Models

Data Sets and Examples. HNM: Hierarchical Network Models. This project deals with the development, testing and deployment of models for multiple social networks, particularly those with conditionally independent ties. We develop methods for single networks, as well as for partial pooling across ensembles of networks, and explore both the influence of covariates and interventions, and the evolution of networks over time. CID: Conditionally Independent Dyads. Our initial implementation of CIDnet and relate...

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