103 citations · 142 across the 5 of their papers we have counts for
6 papers
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…
Sampling node group structure of social and information networks
Neli Blagus, Gregor Weiss, Lovro Šubelj
Lately, network sampling proved as a promising tool for simplifying large real-world networks and thus providing for their faster and more efficient analysis. Still, understanding…
Self-similar scaling of density in complex real-world networks
Neli Blagus, Lovro Šubelj, Marko Bajec
Despite their diverse origin, networks of large real-world systems reveal a number of common properties including small-world phenomena, scale-free degree distributions and modular…