Research On The Propagation And Control Algorithms Of Rumors In Social Networks

Social network can break through the limitations of distance between people,and people can share their latest trends and opinions at any time.At the same time,due to the vigorous development and expansion of the social Internet,people are exposed to a large amount of information,which facilitates the needs of human daily life and facilitates the spread of rumors.It will be more critical to study the spread characteristics and control strategies of rumors in social networks.At present,the existing rumor propagation models have enriched the state types of nodes and considered some realistic factors,but they have ignored the time delay and the diversity of factors affecting individual state transitions during the process of rumor propagation.The existing control strategies can control the spread of rumors to a certain extent,but the cost of controlling all influential nodes and paths is too high,and the response and spread of truth is not fast enough.In this thesis,we focus on the rumor propagation in social networks and the control strategy of rumors.The specific research work mainly includes the following three aspects:(1)In this thesis,we construct the SAIR rumor propagation model with time delay.The model examines the time delay of individual state transitions during the process of rumor propagation in social networks,and introduces a nonlinear incidence rate to describe the state transitions when individuals are exposed to rumors.The basic reproduction number of the rumor propagation model is calculated by the next generation matrix method,and the stability of the model is discussed by classification.Finally,the influence of nonlinear occurrence rate and time delay on the model is studied through experiments,which verifies the rationality of the model.(2)In this thesis,we construct a SHID rumor propagation model considering individual differences.The model examines a variety of factors that affect individual state transitions,and uses the above factors to calculate state transition probabilities.The basic reproduction number of the model is calculated by theoretical analysis,and the existence of the equilibrium point and stability of the model are discussed according to the equilibrium state of the model.Finally,the influence of various factors in the model on the process of rumor propagation is studied through experiments,which further verifies and supplements the theoretical results.(3)In this thesis,we propose an incentive control strategy to control the spread of rumors.The control strategy is aimed at suspicious nodes in the social network,and uses incentive mechanism to make them possible to spread the truth.In addition,its application in the SAIR rumor propagation model and SHID rumor propagation model is described in detail,and through simulation experiments,it is shown that the effect of the incentive control strategy is better than the random immune strategy and the acquaintance immune strategy,which proves that the incentive the effectiveness of the control strategy.