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Connectivity and complex systems: learning from a multi-disciplinary perspective | Applied Network Science | Full Text
Dynamical detection of network communities | Scientific Reports
PDF) A Realistic Model for Complex Networks
PDF) Machine learning meets complex networks via coalescent embedding in the hyperbolic space
Entropy | Free Full-Text | Community Detection Method Based on Node Density, Degree Centrality, and K-Means Clustering in Complex Network
Matthieu Latapy | DeepAI
arXiv:cond-mat/0611631v1 [cond-mat.stat-mech] 24 Nov 2006
Complex Network Measurements: Estimating the Relevance of Observed Properties
Matthieu LATAPY | PhD | French National Centre for Scientific Research, Paris | CNRS | Laboratoire d'Informatique de Paris 6 (LIP6) | Research profile
arXiv:cs/0609115v2 [cs.NI] 1 Mar 2007
Entropy | Free Full-Text | The Complex Structure of the Pharmacological Drug–Disease Network
Entropy | Free Full-Text | Node Importance Ranking of Complex Networks with Entropy Variation
Complex Networks | SpringerLink
Assessment of network module identification across complex diseases | Nature Methods
The network of the International Criminal Court decisions as a complex system
Critical analysis of (Quasi-)Surprise for community detection in complex networks | Scientific Reports
A complex network community detection algorithm based on random walk and label propagation - Benazi - - Transactions on Emerging Telecommunications Technologies - Wiley Online Library
A Seed-Expanding Method Based on TOPSIS for Community Detection in Complex Networks
Complex Networks VI: Proceedings of the 6th Workshop on Complex Networks CompleNet 2015 | SpringerLink
Higher-order organization of complex networks | Science
Simplification of networks by conserving path diversity and minimisation of the search information | Scientific Reports
Local Patterns to Global Architectures: Influences of Network Topology on Human Learning: Trends in Cognitive Sciences
PDF] Network Community Detection on Metric Space | Semantic Scholar
LITERATURE REVIEW ON COMPLEX NETWORK METHODS APPLIED TO MEASURE ROBUSTNESS IN SUPPLY CHAIN DESIGN
Detecting Communities Based on Network Topology | Scientific Reports