PUMA publications for /user/stumme/human%20l3s%20itegpub%20factors%20contacts%20venushttps://puma.uni-kassel.de/user/stumme/human%20l3s%20itegpub%20factors%20contacts%20venusPUMA RSS feed for /user/stumme/human%20l3s%20itegpub%20factors%20contacts%20venus2024-03-30T08:53:11+01:00On the Predictability of Human Contacts: Influence Factors and the Strength of Stronger Tieshttps://puma.uni-kassel.de/bibtex/2b8771cc1fc02b5bb679c4a293eae517d/stummestumme2013-05-28T11:47:43+02:002012 contacts factors human influence itegpub l3s myown predictability venus <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Christoph Scholz" itemprop="url" href="/author/Christoph%20Scholz"><span itemprop="name">C. Scholz</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Martin Atzmueller" itemprop="url" href="/author/Martin%20Atzmueller"><span itemprop="name">M. Atzmueller</span></a></span>, and <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Gerd Stumme" itemprop="url" href="/author/Gerd%20Stumme"><span itemprop="name">G. Stumme</span></a></span>. </span><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Proceedings of the 2012 ASE/IEEE International Conference on Social Computing and 2012 ASE/IEEE International Conference on Privacy, Security, Risk and Trust</span>, </em></span><em>page <span itemprop="pagination">312--321</span>. </em><em>Washington, DC, USA, </em><em><span itemprop="publisher">IEEE Computer Society</span>, </em>(<em><span>2012<meta content="2012" itemprop="datePublished"/></span></em>)Tue May 28 11:47:43 CEST 2013Washington, DC, USAProceedings of the 2012 ASE/IEEE International Conference on Social Computing and 2012 ASE/IEEE International Conference on Privacy, Security, Risk and Trust312--321SOCIALCOM-PASSAT '12On the Predictability of Human Contacts: Influence Factors and the Strength of Stronger Ties20122012 contacts factors human influence itegpub l3s myown predictability venus While the analysis of online social networks is a prominent research topic, offline real-world networks are still not covered extensively. However, their analysis can provide important insights into human behavior. In this paper, we analyze influence factors for link prediction in human contact networks. Specifically, we consider the prediction of new links, and extend it to the analysis of recurring links. Furthermore, we consider the impact of stronger ties for the prediction. The results and insights of the analysis are a first step onto predictability applications for human contact networks.On the Predictability of Human Contacts