205 citations · 1.2k across the 31 of their papers we have counts for
14 papers · 1 filter
Computing well-balanced spanning trees of unweighted networks
Lovro Šubelj
A spanning tree of a network or graph is a subgraph that connects all nodes with the least number or weight of edges. The spanning tree is one of the most straightforward technique…
Learning-based link prediction analysis for Facebook100 network
Tim Poštuvan, Semir Salkić, Lovro Šubelj
In social network science, Facebook is one of the most interesting and widely used social networks and media platforms. Its data contributed to significant evolution of social netw…
War pact model of shrinking networks
Luka Naglić, Lovro Šubelj
Many real systems can be described by a set of interacting entities forming a complex network. To some surprise, these have been shown to share a number of structural properties re…
Convexity in scientific collaboration networks
Lovro Šubelj, Dalibor Fiala, Tadej Ciglarič +1
Convexity in a network (graph) has been recently defined as a property of each of its subgraphs to include all shortest paths between the nodes of that subgraph. It can be measured…
Convex skeletons of complex networks
Lovro Šubelj
A convex network can be defined as a network such that every connected induced subgraph includes all the shortest paths between its nodes. Fully convex network would therefore be a…
Convexity in complex networks
Tilen Marc, Lovro Šubelj
Metric graph properties lie in the heart of the analysis of complex networks, while in this paper we study their convexity through mathematical definition of a convex subgraph. A s…
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…
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…
Software systems through complex networks science: Review, analysis and applications
Lovro Šubelj, Marko Bajec
Complex software systems are among most sophisticated human-made systems, yet only little is known about the actual structure of 'good' software. We here study different software s…
Community structure of complex software systems: Analysis and applications
Lovro Šubelj, Marko Bajec
Due to notable discoveries in the fast evolving field of complex networks, recent research in software engineering has also focused on representing software systems with networks.…