Percolation of partially interdependent scale-free networks

D Zhou, J Gao, HE Stanley, S Havlin - … E—Statistical, Nonlinear, and Soft Matter …, 2013 - APS
We study the percolation behavior of two interdependent scale-free (SF) networks under
random failure of 1-p fraction of nodes. Our results are based on numerical solutions of …

Construction and analysis of random networks with explosive percolation

EJ Friedman, AS Landsberg - Physical review letters, 2009 - APS
The existence of explosive phase transitions in random (Erdös Rényi-type) networks has
been recently documented by Achlioptas, D'Souza, and Spencer [Science 323, 1453 (2009) …

[PDF][PDF] The evolution of the mathematical research collaboration graph

JW Grossman - Congressus Numerantium, 2002 - Citeseer
We discuss some properties of the research collaboration graph for mathematicians, look at
its evolution over time, and survey some random models that might produce graphs of this …

Network motifs in computational graphs: A case study in software architecture

S Valverde, RV Solé - Physical Review E—Statistical, Nonlinear, and Soft …, 2005 - APS
Complex networks in both nature and technology have been shown to display characteristic,
small subgraphs (so-called motifs) which appear to be related to their underlying …

The structure of phonological networks across multiple languages

S Arbesman, SH Strogatz… - International Journal of …, 2010 - World Scientific
The network characteristics based on the phonological similarities in the lexicons of several
languages were examined. These languages differed widely in their history and linguistic …

Recent advances of percolation theory in complex networks

D Lee, B Kahng, YS Cho, KI Goh, DS Lee - Journal of the Korean Physical …, 2018 - Springer
During the past two decades, percolation has long served as a basic paradigm for network
resilience, community formation and so on in complex systems. While the percolation …

Correlated random networks

J Berg, M Lässig - Physical review letters, 2002 - APS
We develop a statistical theory of networks. A network is a set of vertices and links given by
its adjacency matrix c, and the relevant statistical ensembles are defined in terms of a …

Back to the biology in systems biology: what can we learn from biomolecular networks?

S Huang - Briefings in Functional Genomics, 2004 - academic.oup.com
Genome-scale molecular networks, including protein interaction and gene regulatory
networks, have taken centre stage in the investigation of the burgeoning disciplines of …

Multilayer Networks: Analysis and Visualization

M De Domenico - Introduction to muxViz with R. Cham: Springer, 2022 - Springer
Networks are mathematical objects widely used in multiple disciplines to model the structure
of complex systems. From the network of neurons in the human brain to the social networks …

Inverted Berezinskii-Kosterlitz-Thouless singularity and high-temperature algebraic order in an Ising model on a scale-free hierarchical-lattice small-world network

M Hinczewski, A Nihat Berker - Physical Review E—Statistical, Nonlinear, and …, 2006 - APS
We have obtained exact results for the Ising model on a hierarchical lattice incorporating
three key features characterizing many real-world networks—a scale-free degree …