Streaming algorithms for k-core decomposition

AE Saríyüce, B Gedik, G Jacques-Silva, KL Wu… - Proceedings of the …, 2013 - dl.acm.org
A k-core of a graph is a maximal connected subgraph in which every vertex is connected to
at least k vertices in the subgraph. k-core decomposition is often used in large-scale network …

Incremental k-core decomposition: algorithms and evaluation

AE Sarıyüce, B Gedik, G Jacques-Silva, KL Wu… - The VLDB Journal, 2016 - Springer
A k-core of a graph is a maximal connected subgraph in which every vertex is connected to
at least k vertices in the subgraph. k-core decomposition is often used in large-scale network …

Resilience and rewiring of the passenger airline networks in the United States

DR Wuellner, S Roy, RM D'Souza - … Review E—Statistical, Nonlinear, and Soft …, 2010 - APS
The air transportation network, a fundamental component of critical infrastructure, is formed
from a collection of individual air carriers, each one with a methodically designed and …

Interplay between -core and community structure in complex networks

I Malvestio, A Cardillo, N Masuda - Scientific reports, 2020 - nature.com
The organisation of a network in a maximal set of nodes having at least k neighbours within
the set, known as k-core decomposition, has been used for studying various phenomena. It …

K-core decomposition on super large graphs with limited resources

S Gao, J Xu, X Li, F Fu, W Zhang, W Ouyang… - Proceedings of the 37th …, 2022 - dl.acm.org
K-core decomposition is a commonly used metric to analyze graph structure or study the
relative importance of nodes in complex graphs. Recent years have seen rapid growth in the …

[PDF][PDF] Software for the analysis and visualization of social networks

M Baur - Fridericiana University Karlsruhe Karlsruhe, 2008 - scholar.archive.org
In this section, we present a two-phase heuristic for crossing reduction in circular layouts.
While the first algorithm uses a greedy policy to build a good initial layout, an adaptation of …

Network growth from global and local influential nodes

J Jiang, S Yang, S Jha - IEEE Transactions on Network …, 2022 - ieeexplore.ieee.org
In graph theory and network analysis, node degree is defined as a simple but powerful
centrality to measure the local influence of node in a complex network. Preferential …

[PDF][PDF] A generator of dynamic clustered random graphs

C Staudt, R Görke - ITI Wagner, Faculty of Informatics, Universität …, 2009 - core.ac.uk
The experimental evaluation of many graph algorithms for practical use involves both tests
on realworld data and on artificially generated data sets. In particular the latter are useful for …

[PDF][PDF] Optimisation of Clustering Algorithms for the Identification of Customer Profiles from Shop** Cart Data

S Nagel, D Wagner, W Dörfler, R Görke - 2008 - i11www.iti.kit.edu
During the last few years the Internet has become more and more important, not only for
business communication but also for many private households. Current news, information …

[PDF][PDF] Combinatorial and Geometric Aspects of Computational Network Construction

M Krug - core.ac.uk
Networks have played an important role in the development of modern culture and
technology. While social networks have helped develop the complex societies of today's …