Virus Epidemic Suppression by Using Local Information of Network Structure

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  • 局所ネットワーク情報を用いたウィルス蔓延抑制
  • キョクショ ネットワーク ジョウホウ オ モチイタ ウィルス マンエン ヨクセイ

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Abstract

Under the situations of several arrangements of immunized nodes, virus infection simulations were performed for virtual networks whose structures are similar to that of real networks. For the Barabasi-Albert network model(BA model) which has a scale-free property, the virus suppression effect by "modified aquaintance immunization"technique was shown to be more effective than that by "aquaintance immunization"technique proposed by Cohen et al. Modified acquaintance immunization immunization technique immunizes the node with most links among the adjacent nodes of a randomly selected node. On the other hand, several researches show that any immunization technique is much more effective for AS network which is a real network than for BA model. In order to defect the cause of this inconsistency, we investigated the influence of the structural properties of AS network and BA model. As a result, it was shown that the number of the minimum link has strong effect on the virus suppression rate by immunizations: the number of the minimum link of BA model is half of the average link number, but that of AS model is one.

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