典型文献
Time sequential influence maximization algorithm based on neighbor node influence
文献摘要：
In view of the forwarding microblogging,secondhand smoke,happiness,and many other phe-nomena in real life,the spread characteristic of the secondary neighbor nodes in this kind of phe-nomenon and network scheduling is extracted,and sequence influence maximization problem based on the influence of neighbor nodes is proposed in this paper.That is,in the time sequential social network,the propagation characteristics of the second-level neighbor nodes are considered emphati-cally,and k nodes are found to maximize the information propagation.Firstly,the propagation prob-ability between nodes is calculated by the improved degree estimation algorithm.Secondly,the weighted cascade model(WCM)based on static social network is not suitable for temporal social network.Therefore,an improved weighted cascade model(IWCM)is proposed,and a second-level neighbors time sequential maximizing influence algorithm(STIM)is put forward based on node de-gree.It combines the consideration of neighbor nodes and the problem of overlap of influence scope between nodes,and makes it chronological.Finally,the experiment verifies that STIM algorithm has stronger practicability,superiority in influence range and running time compared with similar algo-rithms,and is able to solve the problem of maximizing the timing influence based on the influence of neighbor nodes.
文献关键词：
中图分类号：
作者姓名：
CHEN Jing;QI Ziyi;LIU Mingxin
作者机构：
School of Information Science and Engineering,Yanshan University,Qinhuangdao 066004,P.R.China;College of Electronic and Information Engineering,Guangdong Ocean University,Zhanjiang 524088,P.R.China;Hebei Key Laboratory of Virtual Technology and System Integration,Qinhuangdao 066004,P.R.China;Hebei Key Laboratory of Software Engineering,Qinhuangdao 066004,P.R.China
文献出处：
引用格式：
[1]CHEN Jing;QI Ziyi;LIU Mingxin-.Time sequential influence maximization algorithm based on neighbor node influence)[J].高技术通讯（英文版）,2022(02):153-163
A类：
microblogging,emphati,IWCM
B类：
Time,sequential,influence,maximization,algorithm,In,view,forwarding,secondhand,smoke,happiness,many,other,phe,nomena,real,life,spread,secondary,nodes,this,kind,nomenon,network,scheduling,extracted,sequence,problem,proposed,paper,That,social,propagation,characteristics,level,considered,cally,found,maximize,information,Firstly,between,calculated,by,improved,degree,estimation,Secondly,weighted,cascade,model,static,not,suitable,temporal,Therefore,neighbors,maximizing,STIM,put,It,combines,consideration,overlap,scope,makes,chronological,Finally,experiment,verifies,that,has,stronger,practicability,superiority,range,running,compared,similar,rithms,solve,timing
AB值：
0.456277
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