Hybrid evolving clique-networks and their communicability

📝 Original Info

• Title: Hybrid evolving clique-networks and their communicability
• ArXiv ID: 1403.0448
• Date: 2015-06-18
• Authors: Yimin Ding, Bin Zhou, Xiaosong Chen

📝 Abstract

Aiming to understand real-world hierarchical networks whose degree distributions are neither power law nor exponential, we construct a hybrid clique network that includes both homogeneous and inhomogeneous parts, and introduce an inhomogeneity parameter to tune the ratio between the homogeneous part and the inhomogeneous one. We perform Monte-Carlo simulations to study various properties of such a network, including the degree distribution, the average shortest-path-length, the clustering coefficient, the clustering spectrum, and the communicability.

💡 Deep Analysis

Deep Dive into Hybrid evolving clique-networks and their communicability.

Aiming to understand real-world hierarchical networks whose degree distributions are neither power law nor exponential, we construct a hybrid clique network that includes both homogeneous and inhomogeneous parts, and introduce an inhomogeneity parameter to tune the ratio between the homogeneous part and the inhomogeneous one. We perform Monte-Carlo simulations to study various properties of such a network, including the degree distribution, the average shortest-path-length, the clustering coefficient, the clustering spectrum, and the communicability.

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