205 citations · 984 across the 21 of their papers we have counts for
8 papers · 1 filter
Empirical comparison of network sampling techniques
Neli Blagus, Lovro Šubelj, Marko Bajec
In the past few years, the storage and analysis of large-scale and fast evolving networks present a great challenge. Therefore, a number of different techniques have been proposed…
Sampling promotes community structure in social and information networks
Neli Blagus, Lovro Šubelj, Gregor Weiss +1
Any network studied in the literature is inevitably just a sampled representative of its real-world analogue. Additionally, network sampling is lately often applied to large networ…
Assessing the effectiveness of real-world network simplification
Neli Blagus, Lovro Šubelj, Marko Bajec
Many real-world networks are large, complex and thus hard to understand, analyze or visualize. The data about networks is not always complete, their structure may be hidden or they…
Node mixing and group structure of complex software networks
Lovro Šubelj, Slavko Žitnik, Neli Blagus +1
Large software projects are among most sophisticated human-made systems consisting of a network of interdependent parts. Past studies of software systems from the perspective of co…
Group detection in complex networks: An algorithm and comparison of the state of the art
Lovro Šubelj, Marko Bajec
Complex real-world networks commonly reveal characteristic groups of nodes like communities and modules. These are of value in various applications, especially in the case of large…
Model of complex networks based on citation dynamics
Lovro Šubelj, Marko Bajec
Complex networks of real-world systems are believed to be controlled by common phenomena, producing structures far from regular or random. These include scale-free degree distribut…