Analysis of SCIR Information Dissemination Model Based on Recommendation Mechanism
[Purpose/significance]In recent years,with the emergence of online social platforms,information dissemination has changed rapidly.In order to provide high-quality content and promote information dissemination,online social platforms have applied various recommendation mechanisms,so the way of information dissemination is different from the previous topological structure dissemination.Mastering the characteristics of information dissemination under the recommendation mechanisms is condu-cive to the effective control of rumors and other information.[Method/process]This article proposes a SCIR information dissemina-tion model based on topology and recommendation mechanism,and theoretically delves into the number and probability of final dis-semination users by dissemination nodes.Through a series of numerical simulations,the influence of factors such as dissemination nodes,likes probability,favorites probability,and creation probability was studied.[Result/conclusion]With the recommenda-tion mechanisms,rumors can spread quickly in the social network,but the increase of the probability of liking,favorites and other behaviors does not make the dissemination effect better,on the contrary,it may hinder the spread.[Limitations]This paper only considers a specific recommendation mechanism in the information dissemination model,and future research can comprehensively consider the specific impact of different recommendation mechanisms to construct a universal information model based on recommen-dation mechanisms.
online social platformsinformation dissemination modelsrecommendation mechanismuser behavior
万方数据
维普
