【摘要】：提出一種聚類免疫策略,使用改進(jìn)的經(jīng)典謠言傳播模型,在可變聚類無(wú)標(biāo)度網(wǎng)絡(luò)上研究其免疫效果.研究發(fā)現(xiàn),聚類免疫的效果隨著網(wǎng)絡(luò)聚類系數(shù)的增加而變好.在不同聚類系數(shù)下,比較目標(biāo)免疫、介數(shù)免疫、緊密度免疫和聚類免疫的免疫效果發(fā)現(xiàn),無(wú)論網(wǎng)絡(luò)的聚類特性如何,介數(shù)免疫始終是幾種免疫策略中效果最好的,當(dāng)網(wǎng)絡(luò)聚類系數(shù)較大時(shí),聚類免疫的效果超過(guò)緊密度免疫接近目標(biāo)免疫,進(jìn)一步增大網(wǎng)絡(luò)的聚類系數(shù),聚類免疫的效果超過(guò)目標(biāo)免疫而接近介數(shù)免疫.
[Abstract]:A clustering immune strategy is proposed to study its immune effect on variable clustering scale-free networks using an improved classical rumour propagation model. It is found that the effect of clustering immunity is improved with the increase of network clustering coefficient. Under different clustering coefficients, the immune effects of target immunity, intermediate immunity, tightness immunity and clustering immunity were compared. It was found that, regardless of the clustering characteristics of the network, the intermediate immunity was always the best among several immune strategies. When the clustering coefficient of the network is large, the effect of clustering immunity is higher than that of tightness immunity and close to the target immunity, and the clustering coefficient of the network is further increased. The effect of clustering immunity is more than that of the target immunity, but the effect of clustering immunity is close to the medium immunity.
【作者單位】： 廣西師范大學(xué)電子工程學(xué)院;
【基金】：國(guó)家自然科學(xué)基金(11062001,11165003)資助項(xiàng)目
【分類號(hào)】：TP393.02

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