2018 IEEE 18th International Symposium on Computational Intelligence and Informatics (CINTI) 2018
DOI: 10.1109/cinti.2018.8928240
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Static edge voting models

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Cited by 1 publication
(5 citation statements)
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“…In this paper we continued and extended our preliminary work [12] about static edge voting models. In Section 2 started with reviewing the properties of inhomogeneous random graphs (IRG), because IRGs are our basic tool, and proved a corollary of the Chernoff-bounds what we can use to bound the probability that the degree of a fixed node is below or above of a given D value.…”
Section: Discussionmentioning
confidence: 93%
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“…In this paper we continued and extended our preliminary work [12] about static edge voting models. In Section 2 started with reviewing the properties of inhomogeneous random graphs (IRG), because IRGs are our basic tool, and proved a corollary of the Chernoff-bounds what we can use to bound the probability that the degree of a fixed node is below or above of a given D value.…”
Section: Discussionmentioning
confidence: 93%
“…Networks generated by the BA model show power-law degree distribution. In this paper we continue and extend the work on static edge voting models [12]. The structure of this paper is as follows: after an introduction to the necessary notions and definitions, in Section 2 we turn to the Inhomogeneous Random Graphs.…”
Section: Introductionmentioning
confidence: 93%
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