The Propagation And Control Of Network Based On Node Information

As we enter the information age,people have more access to information.So there appeared such a phenomenon that people can receive a lot of information every day whether through their mobile phones or computers,and people can also post messages through social platforms,forums and more.So in the propagation process of the message,each individual node in the network becomes very important.For example,whether individual nodes publish real messages or not,whether individual nodes have a good ability to recognize messages,etc.,all play a key role in whether the messages are widely spread.Therefore,the study about the influence of node’s individual characteristics on the propagation in the network becomes very important.With the deeper research on complex networks,it has provided a new solution to many problems.Such as the infectious diseases problems that have plagued the people for so long time and the rumor problems that exist all the time in people’s lives.So far,researchers have proposed many practical propagation models by constructing mathematical models and simulations,and they have designed some immunization strategies to suppress disease’s propagation and fake message’s propagation,and they have achieved fruitful results.On the basis of research which has existed,this paper studies the influence of individual node characteristics on the dissemination of messages and diseases in the network.The research work which has done mainly includes the following two aspects:(1)A message propagation model with node credibility was constructed.In the network with node credibility,the credibility of each individual node is constantly changing.When an individual node helps the true messages to spread outwardly,and the node’s credibility will increase.Conversely,when an individual node helps the false messages to spread outwardly,and the node’s credibility will decrease.In the propagation process of information,the higher the credibility of the node,the more it spreads the message is believed.Based on the above,we let the messages propagate in completely trusted networks and the network with node credibility respectively,and we conducted the comparative experiments.The result shows that the propagation effect is better and more realistic in the network with node reputation.(2)The disease transmission model based on cognitive information was proposed.In the propagation process of the disease,the information about the disease is also spreading at the same time.Some individual nodes who know the disease information in advance and are free of disease will take measures to prevent the disease,such as vaccination,wearing masks,reducing the scope of travel and so on,which will inhibit the spread of the disease.The cognition mentioned in this section includes not only the cognition of the disease information,but also the cognition about whether the infected people are aware that they have infected the disease.In the real life,some of the patients who do not have obvious symptoms after the illness,so they may not know that they are infected.Because of the presence of this part of infected people,and they will play a role in promoting the propagation of the disease.Therefore,based on the above,on the WS-world network and BA scale-free network,and we established the disease transmission model based on cognitive information respectively.Finally,theoretical analysis and simulation experiments show that the propagation of disease is related to the cognitive information of nodes.And the model constructed is more realistic.