Assortativity in complex networks
R Noldus, P Van Mieghem - Journal of Complex Networks, 2015 - academic.oup.com
We survey the concept of assortativity, starting from its original definition by Newman in
2002. Degree assortativity is the most commonly used form of assortativity. Degree …
2002. Degree assortativity is the most commonly used form of assortativity. Degree …
Complex network measures of brain connectivity: uses and interpretations
Brain connectivity datasets comprise networks of brain regions connected by anatomical
tracts or by functional associations. Complex network analysis—a new multidisciplinary …
tracts or by functional associations. Complex network analysis—a new multidisciplinary …
Network analysis reveals rare disease signatures across multiple levels of biological organization
Rare genetic diseases are typically caused by a single gene defect. Despite this clear
causal relationship between genotype and phenotype, identifying the pathobiological …
causal relationship between genotype and phenotype, identifying the pathobiological …
Percolation centrality: Quantifying graph-theoretic impact of nodes during percolation in networks
A number of centrality measures are available to determine the relative importance of a
node in a complex network, and betweenness is prominent among them. However, the …
node in a complex network, and betweenness is prominent among them. However, the …
Link prediction in complex networks: a mutual information perspective
Topological properties of networks are widely applied to study the link-prediction problem
recently. Common Neighbors, for example, is a natural yet efficient framework. Many …
recently. Common Neighbors, for example, is a natural yet efficient framework. Many …
Investigating spatiotemporal dynamics and synchrony of influenza epidemics in Australia: an agent-based modelling approach
In this paper we present Ace Mod, an agent-based modelling framework for studying
influenza epidemics in Australia. The simulator is designed to analyse the spatiotemporal …
influenza epidemics in Australia. The simulator is designed to analyse the spatiotemporal …
Portfolio optimization through a network approach: Network assortative mixing and portfolio diversification
The paper deals with the classical problem of selecting a portfolio in the financial market and
follows a risk-return optimization approach. The main issue in portfolio selection is capturing …
follows a risk-return optimization approach. The main issue in portfolio selection is capturing …
[LIVRE][B] The local information dynamics of distributed computation in complex systems
JT Lizier - 2012 - books.google.com
The nature of distributed computation in complex systems has often been described in terms
of memory, communication and processing. This thesis presents a complete information …
of memory, communication and processing. This thesis presents a complete information …
Influence of assortativity and degree-preserving rewiring on the spectra of networks
Newman's measure for (dis) assortativity, the linear degree correlation coefficient ρ_D, is
reformulated in terms of the total number N k of walks in the graph with k hops. This …
reformulated in terms of the total number N k of walks in the graph with k hops. This …
[PDF][PDF] Assortativity Analysis of Real-World Network Graphs based on Centrality Metrics.
N Meghanathan - Comput. Inf. Sci., 2016 - pdfs.semanticscholar.org
Assortativity index (A. Index) of real-world network graphs has been traditionally computed
based on the degree centrality metric and the networks were classified as assortative …
based on the degree centrality metric and the networks were classified as assortative …