| In recent years,OSN(online social networks)have developed rapidly.There are many applications on social networks,which has opened up new information sharing and communication platforms for people.It not only plays an important role in transmitting information and promoting communication,but also penetrates into people's daily production and life.There are many different types of competitive information generated by the same event spread in the network at the same time in the online social network.There are often positive correlation or negative correlation between these information.This paper aims to analyze the competitive communication mechanism of different types of information.In this paper,we study the rules of forward propagation of original information and reverse feedback of derived information,and build a competitive information dissemination model based on online social network.A series of scientific experiments were carried out to test the validity of the model.The main research work is as follows.(1)This paper studies the characteristics of online social networks and the social attributes of communication subjects.Parameter variables such as attenuation coefficient and noise coefficient are introduced to describe the effect of information competition propagation among different users.The competitive feedback function is defined to describe the feedback mechanism of information.According to the process of information competition and diffusion,an information communication tree is generated to reveal the complex competition and interaction among user relationship structure,network community group and network spatial information in social network.(2)This paper studies the competition mechanism between different types of information on the network and the rules of node state transformation.The competitive information dissemination process is essentially a homogeneous Markov random process.According to the interaction of individual information,the probability model diagram of node state transition is established,and the probability matrix of state transition is derived by the method of stochastic process,and the micro probability model of competitive information diffusion of node state transition is constructed.From the micro level,this paper reveals the principle of competitive diffusion between different types of information on the network.(3)The scale of users on the online social network is huge,the network structure is complex,and the user behavior is diverse.This paper explores the life cycle process of different types of competitive information in the case of synchronous and asynchronous communication.Considering that individual behaviors meet the statistical regularity macroscopically,dynamic time series and nonlinear dynamics methods are used to construct a macroscopic evolution model of competitive information dissemination,which is used to characterize the influence of the information competition dissemination process on the entire system.By solving the balance point of the propagation model,the system stability is proved,and single-factor sensitivity analysis,simulation analysis,and empirical comparative analysis experiments are carried out to ensure that the model is objective and effective.To sum up,this paper analyzes the dissemination of competitive information.According to the rules of information interaction between nodes,feedback mechanism and competition mechanism,a micro probability model and a macro evolution model are constructed.The experimental results show that the simulation results of the model are in good agreement with the statistical data of real event propagation on the online social network,and the similarity and correlation coefficients are above 0.8469 and 0.8274 respectively.The range of error fluctuation is within plus or minus 0.2,which indicates that the accuracy of the model is high.Therefore,the relevant conclusions of this paper have more real application background and more extensive application value than single information dissemination. |
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