發(fā)布時間：2018-05-30 04:42

  本文選題：聚類系數(shù) + 可調(diào)聚類系數(shù)無標(biāo)度網(wǎng)絡(luò)　； 參考：《計算機工程》2017年08期

【摘要】：為研究聚類系數(shù)對病毒傳播與級聯(lián)故障相互作用的影響,提出一種改進的病毒傳播與級聯(lián)故障相互作用模型。通過改變平均度和三角連接概率調(diào)節(jié)網(wǎng)絡(luò)聚類系數(shù),以此觀察病毒傳播與級聯(lián)故障相互作用過程。當(dāng)不考慮三角連接概率時,平均度越小,網(wǎng)絡(luò)抵制相互作用的能力越強,且區(qū)分度越明顯,但也會增強級聯(lián)故障子過程的破壞力。當(dāng)平均度較小時,三角連接概率越大,網(wǎng)絡(luò)抵制相互作用的能力越弱。當(dāng)平均度較大時,不同三角連接概率對應(yīng)的網(wǎng)絡(luò)抵制相互作用的效果相似。仿真結(jié)果表明,對比單一病毒傳播模型,相互作用模型在同一時刻的破壞力更大。
[Abstract]:In order to study the effect of clustering coefficient on the interaction between virus propagation and cascade fault, an improved model of virus propagation and cascade fault interaction is proposed. By changing the average degree and triangulation probability, the network clustering coefficient is adjusted to observe the interaction between virus propagation and cascading faults. When the triangulation probability is not considered, the smaller the average degree, the stronger the ability of resisting the interaction, and the more distinct the discrimination, but the more destructive force of the cascade fault sub-process is also enhanced. When the average is small, the greater the triangulation probability is, the weaker the network is to resist the interaction. When the average degree is high, the effect of resisting interaction between different triangulation probabilities is similar. The simulation results show that the interaction model is more destructive than the single virus transmission model at the same time.
【作者單位】： 上海外國語大學(xué)賢達經(jīng)濟人文學(xué)院;許繼集團有限公司發(fā)電產(chǎn)品研發(fā)中心;廣東工業(yè)大學(xué)計算機學(xué)院;
【基金】：廣東省科技計劃項目(2012B091000173)
【分類號】：TP393.08
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本文編號：1953991