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Found 4 papers, 1 papers with code
Modular gateway-ness connectivity and structural core organization in maritime network science
Around 80% of global trade by volume is transported by sea, and thus the maritime transportation system is fundamental to the world economy.
Physics and Society
Angular separability of data clusters or network communities in geometrical space and its relevance to hyperbolic embedding
The second is that ASI can be successfully applied to detect the intrinsic dimensionality of network structures that grow in a hidden geometrical space.
Latent Geometry Inspired Graph Dissimilarities Enhance Affinity Propagation Community Detection in Complex Networks
Our results demonstrate that the latent geometry inspired dissimilarity measures we design bring affinity propagation to equal or outperform current state of the art methods for community detection.
Machine learning meets network science: dimensionality reduction for fast and efficient embedding of networks in the hyperbolic space
Complex network topologies and hyperbolic geometry seem specularly connected, and one of the most fascinating and challenging problems of recent complex network theory is to map a given network to its hyperbolic space.
