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#SNA applications with #R: Statnet, ergm, igraph, RSiena, networksis, latentnet | #datascience

#SNA applications with #R: Statnet, ergm, igraph, RSiena, networksis, latentnet | #datascience | e-Xploration | Scoop.it
luiy's insight:

1. ergm: Fit, Simulate and Diagnose Exponential-Family Models for Networks.

An integrated set of tools to analyze and simulate networks based on exponential-family random graph models (ERGM). "ergm" is a part of the "statnet" suite of packages for network analysis.

 

http://cran.r-project.org/web/packages/ergm/index.html

 

 

2. igraph: Network analysis and visualization.

Routines for simple graphs and network analysis. igraph can handle large graphs very well and provides functions for generating random and regular graphs, graph visualization, centrality indices and much more.

 

http://cran.r-project.org/web/packages/igraph/index.html

 

 

3. RSiena: Siena - Simulation Investigation for Empirical Network Analysis.

Fits models to longitudinal network data.

 

http://cran.r-project.org/web/packages/RSiena/index.html

 

 

4. networksis: Simulate bipartite graphs with fixed marginals through sequential importance sampling

Tools to simulate bipartite networks/graphs with the degrees of the nodes fixed and specified. 'networksis' is part of the 'statnet' suite of packages for network analysis.

 

http://cran.r-project.org/web/packages/networksis/index.html

 

 

5. latentnet: Latent position and cluster models for statistical networks.

A package to fit and simulate latent position and cluster models for statistical networks.

 

http://cran.r-project.org/web/packages/latentnet/index.html

 

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Conference. Collective Intelligence 2014

luiy's insight:

This interdisciplinary conference seeks to bring together researchers from a variety of fields relevant to understanding and designing collective intelligence of many types.

Topics of interest include but are not limited to:

human computationsocial computingcrowdsourcingwisdom of crowds (e.g., prediction markets)group memory and extended cognitioncollective decision making and problem-solvingparticipatory and deliberative democracyanimal collective behaviororganizational designpublic policy design (e.g., regulatory reform)ethics of collective intelligence (e.g., “digital sweatshops”)computational models of group search and optimizationemergence and evolution of intelligencenew technologies for making groups smarter

 

 

IMPORTANT DATES

Extended abstract submission deadline:  January 15, 2014Notification of acceptance / rejection:  February 15, 2014Conference dates:  June 10-12, 2014

GENERAL CHAIRS

Jeffrey Nickerson (Stevens Institute of Technology)Thomas Malone (MIT)

PROGRAM CHAIRS

Duncan Watts (Microsoft Research)Michael Kearns (University of Pennsylvania) 

PROGRAM COMMITTEE

Lada Adamic (Facebook)Chris Chabris (Union College)Iain Couzin (Princeton)Winter Mason (Stevens Institute of Technology, Facebook)Beth Noveck (NYU)Scott Page (University of Michigan)Paul Resnick (University of Michigan)Matthew Salganik (Princeton, Microsoft Research)Rajiv Sethi (Columbia University)Anita Woolley (CMU)
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