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Scale Free Small World Networks (64 Nodes)

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IEEE2026-04-17 收录
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https://ieee-dataport.org/documents/scale-free-small-world-networks-64-nodes
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This dataset comprises 1.3 million synthetic graph tensors stored in .pt format, each representing a 64 \u00d7 64 adjacency matrix. The networks were generated to follow scale-free and small-world topologies, properties commonly observed in natural and engineered systems such as neural, social, and communication networks. Each tensor encodes the connectivity structure of a graph, enabling large-scale experimentation in graph theory, network science, machine learning, and active inference research.
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Nika Hosseini
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