Building And Research On The Information Spreading Model Based On Life Cycle

Because the technology of wireless and Internet technology are developing very rapidly,social media has become one of the mainstream information exchange platform. Mobile usergroup network, as one of the largest social media user groups, has played an important role ine-commerce and other areas, and bring tremendous business value and social value. Therefore,the research on the process of information dissemination on the network of mobile user group,is gradually attracted domestic and foreign academic attention, becoming one of the currenthot research topic.For research dissemination process, usually takes from the study of propagation modelsto start, so you can more accurately simulate the process of information dissemination in thenetwork, and provide a basis for further research. Information on social media, often exist inits life cycle. When the message appears on the network, it will experience the process of"gestation period-outbreak period-disappear period". At all stages of the life cycle, thecharacteristics of information dissemination are different. Based on the information life cycleanalysis, we get the following characteristics:(1) The judgment made by the users on whether to accept the information when they firstreceive the information, will not be changed;(2) At the different stages of the information life cycle, the probability of usersacceptance the information is changing, gestation period is low, outbreak is very high, anddisappear period is very low.In response to these characteristics, we have researched many classical texts of the modelof information diffusion in the nearly years, especially focused on the spread of diseases andrelated theoretical model of information dissemination. Through a summary of the analysis ofthese models, combined with the characteristics above, we will propose an informationdissemination model based on the life cycle of information. The model takes into account theprobability of user acceptance issues at different stages of receiving information. Then fromthe mobile user network modeling, propagation modeling, propagation flowcharts,propagation sketches, the model will be described in detail.In order to better study the model, we select ER model and BA model to generate modelnetwork data, do simulation experiments of information dissemination based on the model.Firstly, analysis the relationship between the dissemination range and the factors of theaverage degree of network, the network topology, probability of acceptance, and we get the following result:(1) With the increase of the average degree of the network, the dissemination range willbe increase;(2) The dissemination range of BA model network is greater than the network of ERmodel, but the difference will be closer when the average degree of network is bigger;(3) With the increasing of probability of acceptance, the dissemination range willincrease.Further, in order to study the the source selection method, we consider the importantnodes in the network. We research three common node importance indexes, including thedegree centrality, the betweenness centrality and the closeness centrality. By selecting thenodes with higher indexes in the network as the source, compare with the random selectionmethod, analysis of experimental data, we can draw that on ER model network and the BAmodel network, select the nodes with higher degree or betweenness will get a largerdissemination range, and the effect of dissemination will be better.