Measuring robustness of community structure in complex networks
HJ Li, H Wang, L Chen - Europhysics Letters, 2015 - iopscience.iop.org
HJ Li, H Wang, L Chen
Europhysics Letters, 2015•iopscience.iop.orgThe theory of community structure is a powerful tool for real networks, which can simplify
their topological and functional analysis considerably. However, since community detection
methods have random factors and real social networks derived from complex systems
always contain error edges, evaluating the robustness of community structure is an urgent
and important task. In this letter, we employ the critical threshold of resolution parameter in
Hamiltonian function, $\gamma_C$
their topological and functional analysis considerably. However, since community detection
methods have random factors and real social networks derived from complex systems
always contain error edges, evaluating the robustness of community structure is an urgent
and important task. In this letter, we employ the critical threshold of resolution parameter in
Hamiltonian function, $\gamma_C$
Abstract
The theory of community structure is a powerful tool for real networks, which can simplify their topological and functional analysis considerably. However, since community detection methods have random factors and real social networks derived from complex systems always contain error edges, evaluating the robustness of community structure is an urgent and important task. In this letter, we employ the critical threshold of resolution parameter in Hamiltonian function,
iopscience.iop.org
以上显示的是最相近的搜索结果。 查看全部搜索结果