Centrality metrics and localization in core-periphery networks

DOI10.1088/1742-5468/2016/02/023401zbMath1456.68126arXiv1510.01116OpenAlexW2224335401MaRDI QIDQ3302535

Fabrizio Lillo, Daniele Tantari, Paolo Barucca

Publication date: 11 August 2020

Published in: Journal of Statistical Mechanics: Theory and Experiment (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1510.01116

Mathematics Subject Classification ID

Social networks; opinion dynamics (91D30) Small world graphs, complex networks (graph-theoretic aspects) (05C82) Graph theory (including graph drawing) in computer science (68R10)

Related Items

Principal eigenvector localization and centrality in networks: revisited, Detection of core–periphery structure in networks using spectral methods and geodesic paths, Multifractal analysis for core-periphery structure of complex networks, Disentangling bipartite and core-periphery structure in financial networks, Double phase transition of the Ising model in core–periphery networks, Spectral density of equitable core-periphery graphs

Cites Work

• Unnamed Item
• Anergy in self-directed B lymphocytes: a statistical mechanics perspective
• Spectral statistics of Erdős-Rényi graphs. I: Local semicircle law
• Eigenvalues of random power law graphs
• Spectral redemption in clustering sparse networks
• Emergence of Scaling in Random Networks
• The centrality of groups and classes
• The Largest Eigenvalue of Sparse Random Graphs
• Core-Periphery Structure in Networks
• Spectral properties of Google matrix of Wikipedia and other networks