We study the problem of clustering networks whose nodes have imputed or physical
positions in a single dimension, for example prestige hierarchies or the similarity dimension …

Several observations indicate the existence of a latent hyperbolic space behind real
networks that makes their structure very intuitive in the sense that the probability for a …

Community detection and structural hole spanner (the node bridging different communities)
identification, revealing the mesoscopic and microscopic structural properties of complex …

Human migration patterns influence the redistribution of population characteristics over the
geography and since such distributions are closely related to social and economic …

Complex networks offer flexible representations of complex heterogeneous real-world
systems. They are often weighted, attributed, directed and/or dynamic. As such, gaining an …

This thesis contains three essays in learning representation of complex networks, the first
two of which develop new methods and the third utilizes these methods in a real-world …

For most of the real-world networks, geometry plays an important role in organizing the
network, and recent works have revealed that the geometry in the structural brain network is …