Assessment of network module identification across complex diseases | Nature Methods
Entropy | Free Full-Text | Community Detection Method Based on Node Density, Degree Centrality, and K-Means Clustering in Complex Network
Matthieu LATAPY | PhD | French National Centre for Scientific Research, Paris | CNRS | Laboratoire d'Informatique de Paris 6 (LIP6) | Research profile
A complex network community detection algorithm based on random walk and label propagation - Benazi - - Transactions on Emerging Telecommunications Technologies - Wiley Online Library
Complex network approaches to nonlinear time series analysis - ScienceDirect
Measuring routing tables in the internet
Bipartite Graphs as Models of Complex Networks
Complex Network Measurements: Estimating the Relevance of Observed Properties
Clique size (top degree) distribution obtained from Internet, Web and... | Download Scientific Diagram
The network of the International Criminal Court decisions as a complex system
Simplification of networks by conserving path diversity and minimisation of the search information | Scientific Reports
Dynamical detection of network communities | Scientific Reports
Detecting Communities Based on Network Topology | Scientific Reports
PDF) A Realistic Model for Complex Networks
Entropy | Free Full-Text | Node Importance Ranking of Complex Networks with Entropy Variation
Higher-order organization of complex networks | Science
Entropy | Free Full-Text | Community Detection Method Based on Node Density, Degree Centrality, and K-Means Clustering in Complex Network
Entropy | Free Full-Text | Community Detection Method Based on Node Density, Degree Centrality, and K-Means Clustering in Complex Network
arXiv:cond-mat/0611631v1 [cond-mat.stat-mech] 24 Nov 2006
A Seed-Expanding Method Based on TOPSIS for Community Detection in Complex Networks
