WebJun 9, 2024 · About 126,000 rumors were spread by ∼3 million people. False news reached more people than the truth; the top 1% of false news cascades diffused to between 1000 and 100,000 people, whereas the... WebWang W. Dong W. Zhang and C. W. Tan "Rumor source detection with multiple observations: Fundamental limits and algorithms" Proc. ACM SIGMETRICS 2014. ... Shah and T. Zaman "Finding rumor sources on random trees" Operations Research vol. 64 no. 3 pp. 736-755 2016. 19. A. Y. Lokhov M. Mézard H. Ohta and L. Zdeborová "Inferring the …
Inference on the history of a randomly growing tree
WebThe authors proposed the graph score function rumor centrality as an estimator for detecting the source. They establish it to be the maximum likelihood estimator with respect to the … WebOct 28, 2011 · rumor centrality for source detection for generic random trees and the SI model with a generic spreading time distribution. The key result is an interesting connection between a continuous time branching process and the effectiveness of rumor centrality. Through this, it is possible to quantify the detection rockettes christmas discount tickets
Inference on the history of a randomly growing tree - PubAg
WebFeb 6, 2024 · Accordingly, our proposed ITE based estimator for the source tries to minimize the coding of network partitions brought by the infected tree rooted at all the potential sources, thus minimizing the structural deviation between the cascades from the potential sources and the actual infection process included in GN. WebJan 13, 2024 · Rumor detection is a hot research topic in social networks. It is challenging to simultaneously extract content features and structural features from rumor … WebThe authors proposed rumor centrality as an estimator for detecting the source. They establish it to be the maximum likelihood estimator with respect to the popular Susceptible Infected (SI) model with exponential spreading time for regular trees. rockettes christmas sp