4 citations · 14 across the 15 of their papers we have counts for
5 papers · 1 filter
Algorithms for Large-scale Network Analysis and the NetworKit Toolkit
Eugenio Angriman, Alexander van der Grinten, Michael Hamann +2
The abundance of massive network data in a plethora of applications makes scalable analysis algorithms and software tools necessary to generate knowledge from such data in reasonab…
Interactive Visualization of Protein RINs using NetworKit in the Cloud
Eugenio Angriman, Fabian Brandt-Tumescheit, Leon Franke +2
Network analysis has been applied in diverse application domains. In this paper, we consider an example from protein dynamics, specifically residue interaction networks (RINs). In…
Combined Centrality Measures for an Improved Characterization of Influence Spread in Social Networks
Mehmet Simsek, Henning Meyerhenke
Influence Maximization (IM) aims at finding the most influential users in a social network, i. e., users who maximize the spread of an opinion within a certain propagation model. P…
Guidelines for Experimental Algorithmics in Network Analysis
Eugenio Angriman, Alexander van der Grinten, Moritz von Looz +4
The field of network science is a highly interdisciplinary area; for the empirical analysis of network data, it draws algorithmic methodologies from several research fields. Hence,…
Structure-Preserving Sparsification of Social Networks
Gerd Lindner, Christian L. Staudt, Michael Hamann +2
Sparsification reduces the size of networks while preserving structural and statistical properties of interest. Various sparsifying algorithms have been proposed in different conte…