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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Recent posts to news</title><link>https://sourceforge.net/p/socnetv/news/</link><description>Recent posts to news</description><atom:link href="https://sourceforge.net/p/socnetv/news/feed.rss" rel="self"/><language>en</language><lastBuildDate>Sun, 10 Mar 2019 21:07:08 -0000</lastBuildDate><atom:link href="https://sourceforge.net/p/socnetv/news/feed.rss" rel="self" type="application/rss+xml"/><item><title>SocNetV as "intelligence" source for Dolphin-site operators</title><link>https://sourceforge.net/p/socnetv/news/2015/05/socnetv-as-intelligence-source-for-dolphin-site-operators/</link><description>&lt;div class="markdown_content"&gt;&lt;p&gt;Can use SocNetV to analyze a virtual "social network" ? Yes you can. For instance, you could analyze social interactions (i.e. mentions) between "friends" in that virtual network. Apparently, SocNetV cannot grab their link/connections data on its own (forget the built-in web crawler; it cannot get and parse private data), but if you can extract the data for yourself and transform them into a proper GraphML format, then SocNetV will happily load and visualize the virtual social network so that you can analyze its properties. This seems to be the case with &lt;a href="../"&gt;Dolphin social network software&lt;/a&gt;, an open source platform for social networks.&lt;/p&gt;&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">SourceForge Robot</dc:creator><pubDate>Sun, 10 Mar 2019 21:07:08 -0000</pubDate><guid>https://sourceforge.net9a94578fe4725a2095e9c2315885d8f360ca6674</guid></item><item><title>SocNetV v2.5 has been released!</title><link>https://sourceforge.net/p/socnetv/news/2019/03/socnetv-v25-has-been-released/</link><description>&lt;div class="markdown_content"&gt;&lt;p&gt;The Social Network Visualizer project happily released today a brand new version of our favorite &lt;a class="" href="https://socnetv.org" rel="nofollow"&gt;social network analysis and visualization tool&lt;/a&gt;. SocNetV version 2.5, codenamed “maniac”, brings new features and improvements (i.e. custom node icons) and it is as usually available for Windows, MacOS and Linux. Go to the project’s Downloads page and get it! &lt;br/&gt;
&lt;a href="https://socnetv.org/downloads" rel="nofollow"&gt;https://socnetv.org/downloads&lt;/a&gt;&lt;/p&gt;&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Dimitris Kalamaras</dc:creator><pubDate>Sun, 10 Mar 2019 18:02:51 -0000</pubDate><guid>https://sourceforge.netd50aa6085ff58bacbfb0b3c7bca813f91dfba76a</guid></item><item><title>SocNetV version 2.4 released!</title><link>https://sourceforge.net/p/socnetv/news/2018/03/socnetv-version-24-released/</link><description>&lt;div class="markdown_content"&gt;&lt;p&gt;The Social Network Visualizer project has released a brand new version of our favorite &lt;a class="" href="http://socnetv.org/" rel="nofollow"&gt;social network analysis&lt;/a&gt; and visualization software application. SocNetV version 2.4, released on Feb 28, is a major upgrade bringing lots of new features, such as Kamada-Kawai FDP layout. The new version is available for &lt;a class="" href="http://socnetv.org/downloads/" rel="nofollow"&gt;Windows, Mac OS X and Linux&lt;/a&gt; as usual. Linux users may download a very light AppImage — just make it executable and click it to run the app!&lt;/p&gt;
&lt;p&gt;See a brief discussion of the new features and changes in version 2.4 at:&lt;br/&gt;
&lt;a href="http://socnetv.org/news/?post=socnetv-24-released" rel="nofollow"&gt;http://socnetv.org/news/?post=socnetv-24-released&lt;/a&gt;&lt;/p&gt;&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Dimitris Kalamaras</dc:creator><pubDate>Fri, 09 Mar 2018 17:26:42 -0000</pubDate><guid>https://sourceforge.netbc0b86a2995f9ce8c8751b028d531a913908c27b</guid></item><item><title>SocNetV v2.3 has been released!</title><link>https://sourceforge.net/p/socnetv/news/2017/07/socnetv-v23-has-been-released/</link><description>&lt;div class="markdown_content"&gt;&lt;p&gt;&lt;a class="" href="http://socnetv.org" rel="nofollow"&gt;SocNetV&lt;/a&gt; version 2.3, codenamed "fixer", is mainly a bugfix release. New features are Dyad and Actor/Ego reciprocity and zero-weighted edge support and zero-weighted edge color selection functionality in Settings.  Read &lt;a class="" href="http://socnetv.org/news/?post=socnetv-v23-released" rel="nofollow"&gt;Release Notes&lt;/a&gt; for more info on this release.&lt;br/&gt;
The new version is available for Windows, Mac OS X and Linux. Downloads: &lt;a href="https://github.com/socnetv/app/releases/tag/v2.3" rel="nofollow"&gt;https://github.com/socnetv/app/releases/tag/v2.3&lt;/a&gt;&lt;/p&gt;&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Dimitris Kalamaras</dc:creator><pubDate>Sun, 16 Jul 2017 15:18:34 -0000</pubDate><guid>https://sourceforge.netaa567abc9ca327293c83a7d1263ca65ef412b196</guid></item><item><title>SocNetV v2.2 released</title><link>https://sourceforge.net/p/socnetv/news/2017/01/socnetv-v22-released/</link><description>&lt;div class="markdown_content"&gt;&lt;p&gt;We are pleased to announce that a new version of your favorite social &lt;a class="" href="http://socnetv.org" rel="nofollow"&gt;network analysis and visualization software application&lt;/a&gt; has been released. SocNetV version 2.2, codenamed "beyond", brings many &lt;a class="" href="http://socnetv.org/news/?post=socnetv-v22-released" rel="nofollow"&gt;new features&lt;/a&gt;, supports more social network analysis methods (i.e. eigenvector centrality, hierarchical cluster analysis) and it is available for Windows, Mac OS X and Linux. Visit &lt;a href="http://socnetv.org/downloads" rel="nofollow"&gt;http://socnetv.org/downloads&lt;/a&gt; to get it!&lt;/p&gt;&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Dimitris Kalamaras</dc:creator><pubDate>Sat, 21 Jan 2017 01:55:22 -0000</pubDate><guid>https://sourceforge.nete86bc5534779443c1511482d8224fa5f68a888dd</guid></item><item><title>SocNetV v2.1 released</title><link>https://sourceforge.net/p/socnetv/news/2016/09/socnetv-v22-released/</link><description>&lt;div class="markdown_content"&gt;&lt;p&gt;The Social Network Visualizer (SocNetV) project is happy to announce a brand new version of our favorite &lt;a class="" href="http://socnetv.sourceforge.net"&gt;social network analysis and visualization software&lt;/a&gt; application. SocNetV version 2.1 has the quite eloquent codename "fixer", because it brings lots of bugfixes. It also has a new algorithm for d-regular random network generation and a nice new dialog to control it. As always, installation packages and executables are available to download for Windows, Mac OS X and Linux from the project's &lt;a class="" href="http://socnetv.sourceforge.net/downloads/"&gt;Downloads&lt;/a&gt; page. Read the full &lt;a class="" href="http://socnetv.sourceforge.net/news/?post=socnetv-v21-has-been-released"&gt;release notes&lt;/a&gt; and see some &lt;a class="" href="http://socnetv.sourceforge.net/screenshots/"&gt;screenshots&lt;/a&gt;.&lt;/p&gt;&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Dimitris Kalamaras</dc:creator><pubDate>Thu, 29 Sep 2016 22:12:26 -0000</pubDate><guid>https://sourceforge.net4d359efac99f5c0e3cebf8c880fbf8727c1f7ef9</guid></item><item><title>SocNetV v2.0 released!</title><link>https://sourceforge.net/p/socnetv/news/2016/09/socnetv-v20-released/</link><description>&lt;div class="markdown_content"&gt;&lt;p&gt;The Social Network Visualizer project has released a brand new version of the Social Network Analysis application which brings major code overhaul, new GUI layout, significant performance improvements, Windows 10 compatibility and lots of bugfixes.&lt;/p&gt;
&lt;p&gt;SocNetV v2.0 brings stability, great boost in memory consumption and nice new features for easier social network analysis, such as separate modes for graphs and digraphs, permanent settings/preferences functionality, edge labeling, recent files list, keyboard shortcuts, help messages etc. Also there are improvements in Force-Directed layouts, i.e. Fructherman-Reingold and opening/load times.&lt;/p&gt;
&lt;p&gt;Read the complete &lt;a class="" href="http://socnetv.sourceforge.net/news/?post=socnetv-20-released-packed-with-new-features-and-built-for-speed"&gt;release information for SocNetV v2.0&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;Read the &lt;a class="" href="http://http://socnetv.sourceforge.net/ChangeLog"&gt;changelog&lt;/a&gt;&lt;/p&gt;&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Dimitris Kalamaras</dc:creator><pubDate>Tue, 13 Sep 2016 00:35:02 -0000</pubDate><guid>https://sourceforge.net9579a357dd1eebaeb8a625f0dc46aa15abf16c93</guid></item><item><title>SocNetV v1.9 released</title><link>https://sourceforge.net/p/socnetv/news/2015/06/socnetv-v19-released/</link><description>&lt;div class="markdown_content"&gt;&lt;p&gt;The Social Network Visualizer project has just released version 1.9, which fixes many important bugs and brings a faster matrix inverse routine.&lt;br /&gt;
&lt;/p&gt;
&lt;p&gt;The matrix inverse algorithm is now using LU decomposition which greatly improves the computation speed. This improvement also affects Information Centrality algorithm which runs now in 1/10 of the time needed in earlier SocNetV versions.&lt;/p&gt;
&lt;p&gt;Also, version 1.9 brings a revamped PageRank Prestige algorithm. Up to 1.8 the PageRank algorithm was using the original Page&amp;amp;Brin formula which lead to different results. From this version, SocNetV uses the correct formula and computes comparable results.  Also, the initial PR score  of each node is now 1/N.&lt;/p&gt;
&lt;p&gt;Bugs closed:&lt;br /&gt;
  #1463069 wrong average distance when there are isolates&lt;br /&gt;
  #1365037 certain sparse matrices crash socnetv on invertMatrix method&lt;br /&gt;
  #1365582 centralityInformation() is slow when network N&amp;gt;100&lt;br /&gt;
  #1463095 edge filter works but the user cannot undo&lt;br /&gt;
  #1464422 wrong pagerank results&lt;br /&gt;
  #1464430 socnetv refuses to read pajek files not starting with *Network&lt;br /&gt;
  #1465774 edges do not always follow relations&lt;br /&gt;
  #1463082 edge color change is not taking place&lt;br /&gt;
  #1464418 socnetv crashes on pagerank computation on isolated nodes&lt;/p&gt;&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Dimitris Kalamaras</dc:creator><pubDate>Tue, 23 Jun 2015 16:19:40 -0000</pubDate><guid>https://sourceforge.net0ef6e166200fad945c03cd9cb60c58ec1168a440</guid></item><item><title>SocNetV v1.8 released</title><link>https://sourceforge.net/p/socnetv/news/2015/06/socnetv-v18-released/</link><description>&lt;div class="markdown_content"&gt;&lt;p&gt;The Social Network Visualizer project released version 1.8  with the following new features: &lt;br /&gt;
- New clique census routine to compute maximal cliques with up to 4 vertices.&lt;br /&gt;
- New Scale-free random generation methods. Improved Erdos-Renyi generation to include G(n,M) model. &lt;br /&gt;
- New improved dialogs for easy random network generation (Scale-free, Erdos-Renyi, and Small-World)&lt;/p&gt;
&lt;p&gt;See changelog here: &lt;a href="http://socnetv.sourceforge.net/ChangeLog"&gt;http://socnetv.sourceforge.net/ChangeLog&lt;/a&gt;&lt;/p&gt;&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Dimitris Kalamaras</dc:creator><pubDate>Fri, 05 Jun 2015 15:11:08 -0000</pubDate><guid>https://sourceforge.net27bc4fcb4c8be899ee2666d877949eec63137755</guid></item><item><title>SocNetV v1.7 released</title><link>https://sourceforge.net/p/socnetv/news/2015/05/socnetv-v17-released/</link><description>&lt;div class="markdown_content"&gt;&lt;p&gt;SocNetV version 1.7 has been released with lots of new stuff and bug fixes.&lt;/p&gt;
&lt;p&gt;See changelog here: &lt;a href="http://socnetv.sourceforge.net/ChangeLog"&gt;http://socnetv.sourceforge.net/ChangeLog&lt;/a&gt;&lt;/p&gt;&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Dimitris Kalamaras</dc:creator><pubDate>Wed, 20 May 2015 15:37:58 -0000</pubDate><guid>https://sourceforge.net976150af737e3964c7520758f0ef01e33ee40203</guid></item></channel></rss>