Research on Maximizing Influence of Blockchain Social Network Based on BCLT Model

【Author】 Liu, Chang; Bin, Sheng

【Source】DISCRETE DYNAMICS IN NATURE AND SOCIETY

【影响因子】1.457

【Abstract】In the blockchain social network, the traditional influence maximization algorithm has the problem of insufficient accuracy of the influence spread. To solve the above problem, a BCLT model including the characteristics of the blockchain is established based on the linear threshold model. The BC-RIS algorithm is proposed based on the reverse reachable set. The BC-RIS algorithm's influence spread and running time and the traditional algorithm is compared using the real blockchain social network data set. The experimental results show that the BC-RIS algorithm can obtain a larger influence spread range, which is more in line with the influence propagation law of the blockchain social network.

【Keywords】

【发表时间】2022 MAY 13

【收录时间】2022-05-29

【文献类型】实证性文章

【主题类别】

区块链应用-实体经济-传媒领域