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On the convergence rate of diffusion in the bidirectional Erdös–Rényi networks: An H2-norm perspective

We investigate the convergence rates of diffusion in bidirectional Erdös–Rényi networks. We analytically and numerically demonstrate that the asymptotic distribution is far from a bell shape. Further, we numerically verify that the dynamical networks generated by the Barabasi–Albert model, which is a standard scale-free network model, exhibiting faster convergence of average consensus.
Year of publication:
2013
Authors: Kashima, Kenji ; Takahashi, Yutaka ; Imura, Jun-ichi
Published in:
Physica A: Statistical Mechanics and its Applications. - Elsevier, ISSN 0378-4371. - Vol. 392.2013, 21, p. 5461-5472
Publisher: Elsevier
Subject: Random graph | Diffusion | Multi-agent systems | Consensus
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Type of publication: Article
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Persistent link: https://www.econbiz.de/10011064565
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