A new ranking algorithm and an evolutionary model based on comprehensive weighted clique degree for complex network

DOI10.1016/j.apm.2016.07.008zbMath1446.05082OpenAlexW2492135992MaRDI QIDQ2290278

Yanyan Li

Publication date: 27 January 2020

Published in: Applied Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.apm.2016.07.008

zbMATH Keywords

complex networkranking algorithmevolutionary modelcomprehensive weighted clique degree

Mathematics Subject Classification ID

Small world graphs, complex networks (graph-theoretic aspects) (05C82) Deterministic network models in operations research (90B10) Vertex subsets with special properties (dominating sets, independent sets, cliques, etc.) (05C69)

Related Items (1)

Structural dynamic model updating based on multi-level weight coefficients

Cites Work

• Unnamed Item
• Unnamed Item
• A local-world evolving network model
• Renormalization group analysis of the small-world network model
• The centrality index of a graph
• Statistical mechanics of complex networks
• Emergence of Scaling in Random Networks
• On the strength of connectedness of a random graph
• Collective dynamics of ‘small-world’ networks
• Exploring complex networks

This page was built for publication: A new ranking algorithm and an evolutionary model based on comprehensive weighted clique degree for complex network