<?xml version="1.0" encoding="utf-8" ?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:r="https://r-universe.dev"><channel><title>socnetfan.r-universe.dev</title><link>https://socnetfan.r-universe.dev</link><description>Recent package updates in socnetfan</description><generator>R-universe</generator><image><url>https://github.com/socnetfan.png</url><title>R packages by socnetfan</title><link>https://socnetfan.r-universe.dev</link></image><lastBuildDate>Mon, 28 Sep 2026 13:50:02 GMT</lastBuildDate><item><title>[socnetfan] Blaunet 3.0.0</title><author>chengwang@wayne.edu (Cheng Wang)</author><description>Calculate and analyze Blau statuses for quantifying social
distance between individuals belonging to organizations.
Relational (network) data can be incorporated for additional
analyses. The methods build on affiliation ecology and Blau
space as described by McPherson (1983) &lt;doi:10.2307/2117719&gt;,
McPherson and Ranger-Moore (1991) &lt;doi:10.1093/sf/70.1.19&gt;,
McPherson, Popielarz and Drobnic (1992) &lt;doi:10.2307/2096202&gt;,
McPherson and Rotolo (1996) &lt;doi:10.2307/2096330&gt;, and
McPherson (2004) &lt;doi:10.1093/icc/13.1.263&gt;. The implementation
of Blau-space analyses in 'Blaunet' is described by Genkin et
al. (2018) &lt;doi:10.1371/journal.pone.0204990&gt;. This project is
supported by the Defense Threat Reduction Agency (DTRA) Grant
HDTRA-10-1-0043.</description><link>https://github.com/r-universe/socnetfan/actions/runs/36556642630</link><pubDate>Mon, 28 Sep 2026 13:50:02 GMT</pubDate><r:package>Blaunet</r:package><r:version>3.0.0</r:version><r:status>success</r:status><r:repository>https://socnetfan.r-universe.dev</r:repository><r:upstream>https://github.com/cran/Blaunet</r:upstream></item></channel></rss>