Changes between Version 111 and Version 112 of WikiStart


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08/31/16 12:56:21 (7 months ago)
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morrism
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  • WikiStart

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    55''Software tools for the analysis, simulation and visualization of network data.'' 
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     7== Introduction ==  
     8 
     9'''statnet''' is a suite of software packages for network analysis that implement recent advances in the statistical modeling of networks. The analytic framework is based on Exponential family Random Graph Models (ergm). '''statnet''' provides a comprehensive framework for ergm-based network modeling, including tools for model estimation, model evaluation, model-based network simulation, and network visualization. The statistical modeling capabilities of '''statnet''' include cross-sectional and temporal/dynamic modeling, latent space and latent cluster models, and models for valued/ranked/signed ties.  The packages are written in a combination of (the open-source statistical language) R and (ANSI standard) C, and are called from the R command line ([http://www.r-project.org www.r-project.org]), or from our new shiny app '''statnetWeb''' (more on that below in the News section). 
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    711== News ==  
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     16* The core packages were updated in March 2016 on CRAN (details on the [wiki:StatnetComponents component packages] and [wiki:Installation installation instructions]).  The '''SNA''' package was updated in July 2016. 
     17 
     18{{{#!comment 
     19This is a comment 
     20}}} 
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     22{{{#!comment 
    1223* '''[wiki:Sunbelt2016]''' We will be teaching 8 workshops on network analysis with statnet at the [http://insna.org/sunbelt2016/ Sunbelt] in Newport Beach.  For the schedule, and to register, please use the [http://insna.org/sunbelt2016/registration/ INSNA workshop registration page].  If you are registered, please be sure to install the latest versions of `R` and `Rstudio`, and the statnet packages needed for your workshop BEFORE the workshop.  [wiki:Installation Installation instructions] are on our wiki.  Workshop materials will be online on our wiki soon, so check back here in the next few weeks. 
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    14 * '''Network Modeling for Epidemics''' 2016 workshop will be held August 29 - September 2 on the University of Washington campus in Seattle.  More information and training materials from last year's workshop can be found online [http://statnet.github.io/nme here]. 
     25* '''Network Modeling for Epidemics''' 2016 workshop will be held August 29 - September 2 on the University of Washington campus in Seattle.  More information and training materials from last year's workshop can be found online [http://statnet.github.io/nme here]. }}} 
     26}}} 
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    16 * '''EUSN 2016''' We will be teaching two workshops at [http://eusn2016.sciencesconf.org/ EUSN] this year: [http://eusn2016.sciencesconf.org/89638 ERGM] for cross-sectional netowrk analysis and [http://eusn2016.sciencesconf.org/89639 TERGM] for dynamic network analysis.  We also recommend the [http://eusn2016.sciencesconf.org/84811 Introduction] workshop taught by Michal Bojanowski.  More info can be found at the [http://eusn2016.sciencesconf.org/resource/page/id/9 EUSN workshop page], and the 2014 materials are still online [wiki:EUSN2014 here]. 
     28== Tutorials == 
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    18 * An update of the core packages is planned for March 2016 on CRAN.  Details on the [wiki:StatnetComponents component packages] and [wiki:Installation installation instructions] will be available. 
     30Our tutorials are updated each year, typically as we prepare to teach workshops.  We are in the process of reorganizing this wiki and the tutorial archive to improve accessibility.  The entry point to the tutorial sets will stay on our wiki homepage. 
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     32=== Tutorials from our 3 hour workshops === 
    2033 
    21 == Introduction ==  
    22 '''statnet''' is a suite of software packages for network analysis that implement recent advances in the statistical modeling of networks. The analytic framework is based on Exponential family Random Graph Models (ergm). '''statnet''' provides a comprehensive framework for ergm-based network modeling, including tools for model estimation, model evaluation, model-based network simulation, and network visualization. This broad functionality is powered by a central Markov chain Monte Carlo (MCMC) algorithm. 
     34We teach multiple workshops on network analysis with statnet at the annual INSNA Sunbelt and European Union Social Network (EUSN) meetings.  Topics include introductions to network analysis using R and statnet, cross sectional network analysis with Exponential family Random Graph Models (ERGMs), Temporal/Dynamic network analysis with Temporal ERGMs, Latent Space and Latent Class analysis for networks, Network Analysis for valued/signed/rank tie data, Using ERGMs with egocentrically sampled network data, Dynamic network visualization, and others.   
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    24 '''statnet''' has a different purpose than the excellent packages UCINET or Pajek; the focus is on statistical modeling of network data. The statistical modeling capabilities of '''statnet''' include ERGMs, latent space and latent cluster models.  The packages are written in a combination of (the open-source statistical language) R and (ANSI standard) C, and are called from the R command line. And because it runs in the R package ([http://www.r-project.org www.r-project.org]), you also have access to the full functionality of R, including the packages "network" and "sna" written by Carter Butts.  '''statnet''' has a command line interface, not a GUI, with a syntax that resembles R. 
     36* Materials from the most recent Sunbelt workshops can be found '''[wiki:Sunbelt2016 here]'''.   
     37* Materials from the 2014 EUSN meeting can be found here '''[wiki:EUSN2014 here]'''. 
     38 
     39=== Tutorials from our longer workshops === 
     40 
     41'''Network Modeling for Epidemics''' 
     42We teach a weeklong workshop on using the statnet tools for modeling epidemics on dynamic networks (stochastic network epidemic models).  The materials from the most recent workshop can be found online '''[http://statnet.github.io/nme here]'''. 
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    2645== [[Installation]] ==