af6f159a91401410VgnVCM100000c2b1d38dRCRDapproved/UMICH/stats/Home/News & Events/Dissertations and Oral Preliminary ExaminationsYuan Zhang###@###(Wed, 4 Sep 2013)Yuan Zhang###@###(Wed, 4 Sep 2013)438 WHCommunity detection in networks with node featuresstats137831760000013783176000002:00PM<p>Community detection is a fundamental problem in network data<br> analysis. Most of the existing community detection methods focus only<br> on the network structure without considering features of the nodes.<br> However, many real-world networks contain feature information on<br> nodes, which are often related to the community structure. To address<br> this problem, we propose a joint community detection criterion that<br> combines the network structure and the feature information on nodes.<br> The new criterion is shown to perform well in simulation studies and<br> on several data examples.</p>Njkmcdonjjsantos13787541147437f6f159a91401410VgnVCM100000c2b1d38d____once11112newnewEvent Flyer/UMICH/stats/Home/News & Events/Dissertations and Oral Preliminary Examinations/Yuan Zhang PreLim Flyer.pdf