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https://doi.org/10.1109/sice.2...
Article . 2015 . Peer-reviewed
Data sources: Crossref
https://dx.doi.org/10.48550/ar...
Article . 2014
License: arXiv Non-Exclusive Distribution
Data sources: Datacite
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The effect of network-topology to propagation on networks

Authors: Toyota, Norihito; Sakamoto, Tomoharu; Ogura, Fumiho;

The effect of network-topology to propagation on networks

Abstract

We study the effect of the network topology to propagation phenomena on networks in this article. We do not assume any propagation model such as the contact process or SIR model\cite{Ker} because the study is only the consideratons of the purely topological effect, especially the effect of cycles of a network. To uncover universal properties independent of explicit propagation models is expected due to it. First of all, we introduce some indeces for propagation phenomena of a network. Second we introduce a concept of cycles with a little differences to usal cycles, which is called "STOC" in the body of this article. We find some analytic relations between thesm, STOC and some indeces. Moreover we can find the total number of STOCs in a network, analytically. This consideration leads to an extension of the celebrated "Euler's polyhedron formula", which is only applicable to planar graphs. This extended formula is applicable to any graphs. Last we estimate numerically the indeces and the number of STOCs based on the theoretical considerations for some complex networks and make some discussion on the effects of cycles in networks to propagation.

6pages, 7figures

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Keywords

FOS: Physical sciences, Mathematical Physics (math-ph), Mathematical Physics

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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!
0
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