… Intuitively, two nodes are structurally equivalent if they are connected to the rest of the network
in … We can now redefine role discovery appropriately using this relaxation. Role discovery, …

… the network level they appear to fulfill the same role. But perhaps, one of the users is in fact a
manager for the whole group—a role … Outside of the social network analysis literature, there …

… gained by allowing the class labels to influence the role discovery process. The BM|$+ $|…
performs the role discovery and classifier training as separate steps and the role discovery does …

… role discovery in networks is an emerging research area in the data mining community [1],
[2], [3]. Role discovery involves partitioning the nodes in a network … large scale networks are …

… to the role discovery task. To solve the above problems of NE for role discovery or structural
… represent features of nodes and benefit the Role Discovery-guided NE with a deep …

… Socially aware video and image analysis Recent works on social network construction and
… We define social role discovery as a weakly supervised problem, where the training role …

… the network level they appear to fulfill the same role. But perhaps, one of the users is in fact
a manager for the whole group—a role … Both role discovery and group discovery are primary …

… in network analysis has focused on modeling the roles of nodes in graphs. In this paper, we
introduce edge role discovery … of higher-order role models that leverage network motifs. This …

… Although data-driven approaches define similarity based on the structural features of ego-networks,
this class of methods is not an approximation of equivalence based role discovery. …

… to network transfer learning. Moreover, we compare network role discovery with network
community discovery. … (eg, roles generalize across disconnected networks, communities do not); …