Distance-Based Hierarchical Cutting of Complex Networks with Non-Preferential and Preferential Choice of Seeds
Hierarchical cutting of complex networks reveals insights into balance and chaining effects.
Analysis of (ω1, ω2)-Temporal Random Hyperbolic Graphs
Analyzing the impact of (ω1, ω2) on temporal network properties.
Reconstructing Evolution History of Networked Complex Systems
Machine learning algorithms can accurately reconstruct the evolution history of networked complex systems, revealing key co-evolution features and facilitating structure prediction.
Network Learning with Directional Sign Patterns: A Detailed Analysis
Efficiently learning edge weights in networks using directional sign patterns is crucial for understanding complex interactions.
Unraveling Contagion Origins: Maximum-Likelihood Estimation in Markovian Spreading Models
Effective maximum-likelihood estimation for identifying the source of contagion in networks.
The Ultrametric Backbone: Union of Minimum Spanning Forests
The ultrametric backbone is the union of all minimum spanning forests, providing a new generalization of minimum spanning trees to directed graphs.
Understanding Signed Diverse Multiplex Networks: Clustering and Inference
Keeping signs of edges in network construction improves accuracy for clustering and estimation.
Analyzing Network Formation and Dynamics Among Multi-LLMs
Large language models exhibit social network principles, impacting network formation dynamics.
Efficient Overlapping Community Detection Algorithms Using Modularity and Cosine Functions
The authors present two overlapping network community detection algorithms based on extended modularity and cosine functions, applicable to both undirected and directed graphs.
Hierarchical Cutting of Complex Networks by Random Walks: A Detailed Analysis
The authors explore the gradual cutting of complex networks through random walks, establishing a hierarchy. They focus on the balance and sizes of components and the permanence of each component.
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