A measure of identifying influential community based on the state of critical functionality

DOI10.3934/MBE.2020368zbMath1471.91397OpenAlexW3094059877WikidataQ104619362 ScholiaQ104619362MaRDI QIDQ1979582

Mingli Lei, Daijun Wei

Publication date: 3 September 2021

Published in: Mathematical Biosciences and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/mbe.2020368

zbMATH Keywords

renormalizationcomplex networkscluster coefficientinfluential communityweighted state of critical functionality

Mathematics Subject Classification ID

Social networks; opinion dynamics (91D30)

Related Items (1)

A new structural entropy measurement of networks based on the nonextensive statistical mechanics and hub repulsion

Uses Software

• Pajek
• Pajek datasets

Cites Work

• Impact of density and interconnectedness of influential players on social welfare
• The impact of media converge on complex networks on disease transmission
• Identifying influential nodes in complex networks from global perspective
• Influence of the topology on the dynamics of a complex network of HIV/AIDS epidemic models
• A novel complex network based dynamic rule selection approach for open shop scheduling problem with release dates
• Emergence of Scaling in Random Networks
• Community structure in social and biological networks
• Collective dynamics of ‘small-world’ networks
• Automata, Languages and Programming

This page was built for publication: A measure of identifying influential community based on the state of critical functionality