Читать книгу Intelligent Data Analytics for Terror Threat Prediction - Группа авторов - Страница 51

This approach is proposed in Ref. [18] for source detection. It is purely based on queries and answers to find source. In general, asking queries gives information about rumor source. These queries like “Who shares you the rumor?” or “Are you the source of rumor?” and answers to these queries increases chance of rumor source identification. The authors considers two types of queries: 1) simple batch queries are simple queries as mentioned earlier, and 2) interactive queries are queries which may contain untruth queries and answers with some probability. To quantify the untruthfulness, they propose estimate algorithms for those queries. Author’s uses centrality measures and SI diffusion model and they guarantee that quantifying untruth or truth from these queries and asking these kinds of queries significantly improve performance of source identification in tree-like structure and on Facebook network.