MAXIMIZATION

作品数:204被引量:172H指数:5
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相关领域:自动化与计算机技术更多>>
相关作者:王佳丁洁丽官小平郭小卫王宏琦更多>>
相关机构:武汉大学清华大学北京东方泰坦科技股份有限公司中国科学院研究生院更多>>
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CRB:A new rumor blocking algorithm in online social networks based on competitive spreading model and influence maximization
《Chinese Physics B》2024年第8期588-604,共17页董晨 徐桂琼 孟蕾 
supported by the National Social Science Fund of China (Grant No.23BGL270)。
The virtuality and openness of online social platforms make networks a hotbed for the rapid propagation of various rumors.In order to block the outbreak of rumor,one of the most effective containment measures is sprea...
关键词:online social networks rumor blocking competitive linear threshold model influence maximization 
Identifying influential spreaders in social networks: A two-stage quantum-behaved particle swarm optimization with Lévy flight
《Chinese Physics B》2024年第1期743-754,共12页卢鹏丽 揽继茂 唐建新 张莉 宋仕辉 朱虹羽 
Project supported by the Zhejiang Provincial Natural Science Foundation (Grant No.LQ20F020011);the Gansu Provincial Foundation for Distinguished Young Scholars (Grant No.23JRRA766);the National Natural Science Foundation of China (Grant No.62162040);the National Key Research and Development Program of China (Grant No.2020YFB1713600)。
The influence maximization problem aims to select a small set of influential nodes, termed a seed set, to maximize their influence coverage in social networks. Although the methods that are based on a greedy strategy ...
关键词:social networks influence maximization metaheuristic optimization quantum-behaved particle swarm optimization Lévy flight 
Identifying multiple influential spreaders in complex networks based on spectral graph theory
《Chinese Physics B》2023年第9期603-610,共8页崔东旭 何嘉林 肖子飞 任卫平 
the National Natural Science Foundation of China(Grant No.62176217);the Program from the Sichuan Provincial Science and Technology,China(Grant No.2018RZ0081);the Fundamental Research Funds of China West Normal University(Grant No.17E063)。
One of the hot research topics in propagation dynamics is identifying a set of critical nodes that can influence maximization in a complex network.The importance and dispersion of critical nodes among them are both vi...
关键词:spectral graph theory Laplace matrix influence maximization multiple influential spreaders 
AIGCrank:A new adaptive algorithm for identifying a set of influential spreaders in complex networks based on gravity centrality
《Chinese Physics B》2023年第5期724-736,共13页杨平乐 赵来军 董晨 徐桂琼 周立欣 
the National Social Science Foundation of China(Grant Nos.21BGL217 and 18AZD005);the National Natural Science Foundation of China(Grant Nos.71874108 and 11871328)。
The influence maximization problem in complex networks asks to identify a given size of seed spreaders set to maximize the number of expected influenced nodes at the end of the spreading process.This problem finds man...
关键词:influential nodes influence maximization gravity centrality recursive ranking strategy 
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