基于水軍信任懲罰的多維用戶影響力度量模型
發(fā)布時間：2018-10-19 07:22
【摘要】：社交網(wǎng)絡(luò)用戶影響力度量是意見領(lǐng)袖識別的必要前提,然而目前的度量模型忽略了多維影響因素以及水軍群體對度量模型真實(shí)性的影響.為此本文從網(wǎng)絡(luò)結(jié)構(gòu)、交互行為和交互信息三個維度來分析整合相關(guān)的影響因素,基于LeaderRank模型構(gòu)建多維用戶影響力度量-MUI模型,并在水軍識別的基礎(chǔ)上構(gòu)建信任懲罰模型,以修正MUI模型建立MUISTP模型,實(shí)現(xiàn)社交網(wǎng)絡(luò)用戶影響力的真實(shí)性度量.以新浪微博平臺大規(guī)模實(shí)際數(shù)據(jù)進(jìn)行實(shí)驗(yàn)分析結(jié)果表明,與FBI,LeaderRank和Generative Graphical模型相比,MUI模型識別出的意見領(lǐng)袖更為準(zhǔn)確,且可以實(shí)現(xiàn)更為有效的信息擴(kuò)散.此外,經(jīng)過水軍信任懲罰后MUISTP模型較MUI能夠?qū)崿F(xiàn)更為有效的意見領(lǐng)袖識別.
[Abstract]:The measurement of social network users' influence is a necessary prerequisite for opinion leaders' identification. However, the current measurement model ignores the influence of multi-dimension factors and the influence of waterborne groups on the authenticity of the measurement model. Therefore, this paper analyzes the influence factors of integration from the three dimensions of network structure, interactive behavior and interactive information, constructs a multi-dimensional user impact metric MUI model based on LeaderRank model, and constructs a trust punishment model based on the recognition of naval forces. The MUISTP model is established by modifying the MUI model to measure the impact of social network users. The experimental results show that the opinion leaders identified by the MUI model are more accurate than the FBI,LeaderRank and Generative Graphical models, and can achieve more effective information diffusion. In addition, the MUISTP model can achieve more effective opinion leader recognition than MUI after the naval army trust punishment.
【作者單位】： 華南理工大學(xué)工商管理學(xué)院;
【基金】：國家自然科學(xué)基金(71571073) 廣東省自然科學(xué)基金(2014A030313243)~~
【分類號】：TP393.0
本文編號：2280523
[Abstract]:The measurement of social network users' influence is a necessary prerequisite for opinion leaders' identification. However, the current measurement model ignores the influence of multi-dimension factors and the influence of waterborne groups on the authenticity of the measurement model. Therefore, this paper analyzes the influence factors of integration from the three dimensions of network structure, interactive behavior and interactive information, constructs a multi-dimensional user impact metric MUI model based on LeaderRank model, and constructs a trust punishment model based on the recognition of naval forces. The MUISTP model is established by modifying the MUI model to measure the impact of social network users. The experimental results show that the opinion leaders identified by the MUI model are more accurate than the FBI,LeaderRank and Generative Graphical models, and can achieve more effective information diffusion. In addition, the MUISTP model can achieve more effective opinion leader recognition than MUI after the naval army trust punishment.
【作者單位】： 華南理工大學(xué)工商管理學(xué)院;
【基金】：國家自然科學(xué)基金(71571073) 廣東省自然科學(xué)基金(2014A030313243)~~
【分類號】：TP393.0
【相似文獻(xiàn)】
相關(guān)期刊論文 前4條
1 吳振強(qiáng);馬建峰;;基于聯(lián)合熵的多屬性匿名度量模型[J];計(jì)算機(jī)研究與發(fā)展;2006年07期
2 劉學(xué)忠;劉增良;余達(dá)太;;基于AHP度量模型的安全管理度量方法[J];微計(jì)算機(jī)信息;2007年18期
3 吳江;徐俊剛;鐘博;;一種安全監(jiān)控事件風(fēng)險評級度量模型[J];信息安全與通信保密;2009年12期
4 鄭小蓉;;可信Web服務(wù)的度量模型[J];山東大學(xué)學(xué)報(理學(xué)版);2011年09期
相關(guān)碩士學(xué)位論文 前1條
1 曹穎;基于云環(huán)境的信任度量模型的研究與設(shè)計(jì)[D];華北電力大學(xué);2015年
，本文編號：2280523
本文鏈接：http://sikaile.net/guanlilunwen/ydhl/2280523.html
最近更新
教材專著
