【摘要】：本文綜合考慮網(wǎng)絡(luò)結(jié)構(gòu)及節(jié)點(diǎn)間的互動(dòng)等關(guān)鍵因素,提出了一種節(jié)點(diǎn)影響力分布式計(jì)算機(jī)理.首先根據(jù)節(jié)點(diǎn)交互行為在時(shí)域上的自相似特性,運(yùn)用帶折扣因子的貝葉斯模型計(jì)算節(jié)點(diǎn)間的直接影響力;然后運(yùn)用半環(huán)模型來分析節(jié)點(diǎn)間接影響力的聚合;最后根據(jù)社交網(wǎng)絡(luò)的小世界性質(zhì)及傳播門限,綜上計(jì)算出節(jié)點(diǎn)的綜合影響力.仿真結(jié)果表明,本文給出的模型能有效抑制虛假粉絲導(dǎo)致的節(jié)點(diǎn)影響力波動(dòng),消除了虛假粉絲的出現(xiàn)對節(jié)點(diǎn)影響力計(jì)算帶來的干擾,從中選擇影響力高的若干節(jié)點(diǎn)作為傳播源節(jié)點(diǎn),可以將信息傳播到更多數(shù)目的節(jié)點(diǎn),促進(jìn)了信息在社交網(wǎng)絡(luò)中的傳播.
[Abstract]:Considering the key factors such as network structure and interaction between nodes, a distributed computing theory of node influence is proposed in this paper. Firstly, according to the self-similarity of node interaction in time domain, the Bayesian model with discount factor is used to calculate the direct influence between nodes, and then the semi-loop model is used to analyze the aggregation of indirect influence of nodes. Finally, according to the small-world nature and propagation threshold of social networks, the comprehensive influence of nodes is calculated. The simulation results show that the proposed model can effectively suppress the fluctuation of node influence caused by false fans and eliminate the interference caused by the presence of false fans on the computation of node influence. By selecting several nodes with high influence as the source nodes, the information can be propagated to more destination nodes, which promotes the propagation of information in the social network.
【作者單位】： 華中科技大學(xué)電子信息與工程系;武漢光電國家實(shí)驗(yàn)室;
【基金】：國家自然科學(xué)基金重點(diǎn)項(xiàng)目(批準(zhǔn)號:61231010,60972016) 湖北省杰出青年科學(xué)家基金(批準(zhǔn)號:2009CDA150)資助的課題~~
【分類號】：TP393.0

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本文編號：2456322