摘要
针对在线社交网络中群体互动行为,运用有偏扩散理论,构建有偏扩散模型,从任务的间隔时间τ与执行时间θ的关系视角,系统地阐述了群体互动活动中群体发帖行为与事件行为的时间间隔分布特征.针对群体用户发帖时τ≥θ的特征,论证群体用户发帖时间间隔的幂律分布机理.针对事件时τθ的特征,论证了事件时间间隔具有指数效应的幂律分布机理,实验结果与理论推导吻合.
For interaction behavior of users in online social networks, we build a biased diffusion model to explain time interval distribution characteristics of group posting and event by relating task interval time θ and task execution time O. We demonstrate that, fort τ≥θ, time intervals follow power law distribution; and for τ≥θ, time intervals follow power law distribution with exponential effect. Experimental results validate the model.
出处
《计算物理》
CSCD
北大核心
2016年第2期234-252,共19页
Chinese Journal of Computational Physics
基金
Supported by Major Program of National Natural Science Foundation of China(71490725)
National Key Basic Research Program of China(2013CB329600)
National Science Foundation of China(9154611,71371062)
Key Project of Natural Science of Anhui Province Education Department(KJ2015A348)
关键词
在线社交网络
群体互动
有偏扩散
幂律分布
指数效应
online social networks
group interaction
biased diffusion
power-law distribution
exponential effect
