Published Paper Details:

With the soaring development of huge scale online social networks, online information sharing is becoming ubiquitous a day. Various Information is propagating through online social networks including both positive and negative. Rumour blocking may be a significant issue in large-scale social networks. Malicious rumors could cause chaos in society and hence got to be blocked as soon as possible after being detected. During this system, during this system specialize in the way to minimize the propagation of negative information like the web rumours. The system is predicated on twitter and therefore the intention of the system is to detect and minimize the spreading of false, during this System posted by the user. Another important aim of the system is to form the users refrain from the habit of spreading rumour. During this system, during the System use a model of dynamic rumour influence minimization with user experience (DRIMUX). The goal is to attenuate the influence of the rumour (i.e., the amount of users that have accepted and sent the rumour) by blocking a particular subset of nodes. Additionally, different from existing problems of influence minimization, during this System take under consideration the constraint of user experience utility. Specifically, each node is assigned a tolerance time threshold. If the blocking time of every user exceeds that threshold, the utility of the network will decrease. Experiments are implemented supported large-scale world networks and validate the effectiveness of the method.