Research And Application On Online Social Network Information Diffusion Based On Heat Transfer Processes

The development of online social network makes information spread faster and more widely,so it is very important to study the mechanism of information dissemination.The traditional SIR model has the following limitations: the probability of infected nodes affected by information is certain,and cannot make changes according to the node's own environment;the whole information diffusion process is too ideal,and the nodes in the network can receive information in real time.Based on the limitations of the traditional model,this paper proposes a new model of information transmission and studies the influence of the relationship between information on the process of information transmission.The main work of this paper is as follows:Firstly,a HT(Heat Transfer)information diffusion model is proposed based on the idea of heat transfer.Based on the physical properties of heat transfer,the model adds temperature value attributes to nodes in the network,and defines diffuser nodes and watcher nodes.In HT model,the nodes in the online social network are described as heat receivers and disseminators,and the process of diffusing heat and receiving heat for information transmission is defined.The online characteristic attributes of nodes are introduced to make HT model closer to the real information transmission process.Secondly,in order to better understand the implementation process of HT model,an online social network information dissemination algorithm(Two-stage Greedy Diffusion,TGD)was proposed,which represented the HT model propagation process as a two-stage update process of node state in the network.The HT model is verified by real data sets.The experimental results show that the HT model proposed in this paper has high accuracy in the process of information dissemination in different scales of social networks,and has great advantages in the prediction of propagation trend and node trend.Finally,the HT model is extended to MNMS-HT(Multiple Networks and Multi-Source Heat Transfer)model for social Networks with complex network properties.In this model,two kinds of relations,competition and cooperation between information,are proposed,and their influence on the process of information transmission is discussed.Through data set simulation,the results show that: the larger the information strength gap under the competitive relationship,the lower the peak node number of the weak side information;the higher the probability of inter layer transmission,the faster the information propagation process under the competitive relationship converges;the convergence speed of the information propagation process under the cooperative relationship is faster than that under the competitive relationship The convergence rate of the process.