2024 Finding rumor sources on random trees

Finding rumor sources on random trees

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WebThe spread of infectious disease in a human community or the proliferation of fake news on social media can be modelled as a randomly growing tree‐shaped graph. The history of the random growth process is often unobserved but contains important information such as the source of the infection. WebDec 9, 2024 · The proposed rumor centrality algorithm efficiently predicts the rumor disseminating possibilities in a conversation tree with the aid of graph theoretical approach. The authors have...

Finding rumor sources on random trees - Massachusetts Institute …

http://oastats.mit.edu/handle/1721.1/109424 WebSep 28, 2024 · First, based on the information entropy theory, we obtained the characteristics of rumor information using the maximum entropy model. Next, we optimized the original classifier training set and... powder washing machine

Where do rumors come from and how are they created?

Webrumor source detection problem under the SIR (Susceptible-Infected-Removed) model and took a sample path approach to solve the problem, where a notion of Jordan center was introduced, being extended to the case of sparse observations [10]. The authors of [5], [11] and [12] studied the problem of estimating the source for random growing trees, where 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 … WebThe authors proposed a graph-score function called rumor centrality as an estimator for the rumor source. They showed that the node with maximal rumor centrality is the … towel and linen factory shop

Finding Rumor Sources on Random Trees - ideas.repec.org

Rumor Identification with Maximum Entropy in MicroNet

WebJun 9, 2024 · They proposed a method that can effectively detect rumor sources. On the basis of Shah and Zama’s research, Fuchs and Yu [ 20] derived a asymptotic formula for a random growth tree to detect rumors. Cheng [ 21] researched rumor identification service for the old on social platform. WebWe consider the problem of detecting the source of a rumor (information diffusion) in a network based on observations about which set of nodes posses the rumor. In a recent work [10] by the authors, this question was introduced and studied. The authors proposed rumor centrality as an estimator for detecting the source. They establish it to be the … towel and linen tokaiWebAccordingly, 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. powder wash rock art wyoming

"WebFeb 26, 2024 · In this section, we discuss how we can today investigate rumor propagation, in particular finding rumor source in social network like Twitter. A number of methods and tools trace rumor spreading in the system. For example, Shah et al. studied the problem of rumor source finding [17, 18]. They model rumor spreading with a variant of an SIR … " - Finding rumor sources on random trees

Finding rumor sources on random trees

WebMar 11, 2016 · Research over the last few years has explored ways to identify the origin of a rumor that has spread through a network, armed only with information on who has heard it. These kinds of mathematical studies are useful beyond weeding out gossip. They could help find the sources of memes on social media, trends, computer viruses and epidemics. 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.

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WebThe spread of infectious disease in a human community or the proliferation of fake news on social media can be modelled as a randomly growing tree‐shaped graph. The history of … WebOct 27, 2011 · 2) Random Tree Shah and Zaman [33] established the universality of rumor centrality for source detection for generic random trees without two limited settings of regular trees and the exponential ...

WebFinding Rumor Sources on Random Trees Shah, Devavrat ; Zaman, Tauhid We consider the problem of detecting the source of a rumor which has spread in a network using … WebWe consider the problem of detecting the source of a rumor (information diffusion) in a network based on observations about which set of nodes possess the rumor. Finding …

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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.

WebDownloadable! The spread of infectious disease in a human community or the proliferation of fake news on social media can be modelled as a randomly growing tree‐shaped graph. The history of the random growth process is often unobserved but contains important information such as the source of the infection. We consider the problem of statistical … towel and linen havenWebJan 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 … powder watts.comWebWang 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 … powder watercolorWebNov 29, 2024 · All that disobeys God comes from Satan; Satan is the source of all ugliness and wickedness. The reason that man has qualities alike those of Satan is because man … powder wash wyomingWebOct 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 multi-type continuous time branching processes (an equivalent representation of a generalized Polya's urn, cf. \cite{ref:an}) and powder wax for men\u0027s hairWebFeb 23, 2016 · The authors proposed the graph score function rumor centrality as an estimator for detecting the source. They establish it to be the maximum likelihood … powder water colorsWebThis paper overcomes this limitation and establishes the effectiveness of 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. powder watch online free