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Network synchronizability analysis: The theory of subgraphs and complementary graphs

Network synchronizability analysis: the theory of subgraphs and complementary graphs
Authors: Zhisheng Duan; Chao Liu; Guanrong Chen;

Network synchronizability analysis: The theory of subgraphs and complementary graphs

Abstract

In this paper, subgraphs and complementary graphs are used to analyze the network synchronizability. Some sharp and attainable bounds are provided for the eigenratio of the network structural matrix, which characterizes the network synchronizability, especially when the network's corresponding graph has cycles, chains, bipartite graphs or product graphs as its subgraphs.

13 pages, 7 figures

Related Organizations
Keywords

Networking and Internet Architecture (cs.NI), FOS: Computer and information sciences, Graphs and linear algebra (matrices, eigenvalues, etc.), Graphics (cs.GR), complementary graph, Computer Science - Networking and Internet Architecture, Stochastic network models in operations research, synchronizability, Computer Science - Graphics, complex network, Applications of graph theory to circuits and networks, subgraph

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
35
Average
Top 10%
Top 10%
Green
bronze