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\iteman{ZMATH 2013e.00789}
\itemau{Guo, Fangjian; Su, Jiang; Gao, Jian}
\itemti{Finding conspirators in the network via machine learning.}
\itemso{UMAP J. 33, No. 3, 275-292 (2012).}
\itemab
The article presents the solution paper of a winning team (University of Electronic Science and Technology of China in Chengdu) of the 14th Interdisciplinary Contest in Modeling (ICM) on a problem where they had to estimate the probability of criminal involvement for individuals in a network of employees of a company with an embedded conspiracy network, and determine the leader of the conspirators.
\itemrv{Peter D\"urr (Linkenheim)}
\itemcc{R45 M75 U45 K95}
\itemut{interdisciplinary competitions; mathematical competitions; USA; student competitions; mathematical model building; mathematical models; networks; research; criminal network detection; social network analysis; mathematical applications; machine learning; centrality; logistic regression; semantic diffusion; bipartite graphs; resource-allocation dynamics; Kendall's tau; gradient descent; revised leader rank; sensitivity analysis}
\itemli{}
\end