计算机与数字工程Issue(11)：2103-2106,2176,5.DOI:10.3969/j.issn1672-9722.2014.11.027
一种在线社会网络的信息扩散预测模型*
A Prediction Model of Information Diffusion in Online Social Networks
摘要
Abstract
This paper proposes a diffusive model named Fick‐Logistic model to describe and predict information diffu‐sion in online social networks .Firstly ,paper gives out the definition of distance between a pair of users in network graph by using shortest path measured by friendship hops .Then paper considers the information diffusion in online social networks as two separated process ,social process and growth process .And it applies Fick diffusion theory and Logistic growth model in‐to information diffusion process in the context of online social network .Lastly ,the paper utilizes proposed model to predict diffusion process of the most representative news story in Digg dataset .The high prediction accuracies indicate that the model can precisely describe the process of diffusion in Digg and has good capability of prediction .关键词
在线社会网络/信息扩散/距离度量/Fick-Logistic扩散模型/预测性能Key words
online social network/information diffusion/distance measurement/Fick-Logistic diffusive model/predic-tion capability分类
信息技术与安全科学引用本文复制引用
彭川,李元香..一种在线社会网络的信息扩散预测模型*[J].计算机与数字工程,2014,(11):2103-2106,2176,5.基金项目
国家自然科学基金（编号61201268）；中央高校科研业务专项基金（编号CZQ11006、CZY12010）资助。 （）
