SBM Based Community Detection: School Friendship Network Ziya Nazım Perdahcı Mehmet Nafız Aydın Kenan Kafkas 10.6084/m9.figshare.7582076.v2 https://imisc.figshare.com/articles/journal_contribution/SBM_Based_Community_Detection_School_Friendship_Network/7582076 <div> <div> <div> <div> <p><b>Abstract </b></p> <p>Many networks of interest to Information Systems researchers exhibit community structure. This macro-scale structure is so natural that community detection is an essential task to divide large networked data sets into manageable groups to enable an understanding of a system at the meso-scale. In the present work, we aim at introducing this elegant approach as the state-of the-art knowledge to the IS research community, manage to extent the method to multi-edge networks, and apply successfully the extended method to a real-world school best friendship context. </p><p><br></p><p> </p><div> <div> <div> <div> <p><b>Editor:</b> H. Kemal İlter, Ankara Yıldırım Beyazıt University, Turkey<br><b> Received:</b> August 19, 2018, <b>Accepted:</b> October 18, 2018, <b>Published:</b> November 10, 2018 </p> <p><b>Copyright:</b> © 2018 IMISC Perdahcı et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. </p> </div> </div> </div> </div> </div> </div> </div> </div> 2019-02-14 05:49:31 SBM imisc Community detection Best friends network School management Business Information Systems