Читать книгу Intelligent Data Analytics for Terror Threat Prediction - Группа авторов - Страница 52

It is based on anti-rumor diffusion over the network. To broaden antirumor knowledge in the network, monitor based observation is proposed in Ref. [19] for rumor source detection. They injected monitor or sensor nodes to diffuse “anti-rumor” messages inside the network, nodes are called as protectors. Initially, authors prove that injecting anti-rumors decreases performance for Maximum-Likelihood (ML) estimator in largescale networks. If rumors receive anti-rumor find distance between rumor source and protector. To find this distance they propose two algorithms 1) learn distance distributor parameter under ML estimator and 2) Rumor source detector under Maximum-A-Posterior-Estimator (MAPE) based on the learnt parameters. These two learning algorithms give distance between rumor source and protector, based on the difference analyze the actual rumor source.