时序阵发性对信息传播的影响

Influence of Bursty on Information Diffusion

近年来,传播动力学是网络研究的一个热门话题,传统的信息传播都是在静态网络上进行研究的,但现实生活中许多网络是有时序的。到目前为止,已有很多学者针对时序阵发性对信息传播影响做了研究,结果表明对不同的数据集、不同的节点感染方式,阵发性对信息传播呈现的作用是不同的。针对此现象,通过构建DCW空模型消除原数据的阵发性特征,分析信息在原数据和空模型数据上的传播情况,以找到阵发性对传播呈现不同影响的原因。

In recent years, the transmission dynamics is a hot topic in network research, traditional information dissemination researches are based on static network, hut many actual networks are temporal. So far, many scholars have researched the impact of bursty on information dissemination, and the results show that bursty presents different roles for information dissemination on different data sets and different nodes infection way. Regarding to this phenomenon, studying the influence of bursty on information dissemination by using DCW null model, and analyzes information spreading on the original data and the null model data,and to find out the reason why bursty shows different effects on the spreading.