E. A. Grechnikov, The degree distribution and the number of edges between nodes of given de- grees in directed scale-free graphs, arXiv preprint arXiv:1408.2480, (2014).E. A. Grechnikov, The degree distribution and the number of edges between nodes of given degrees in the Buckley-...
The degree distribution and the number of edges between nodes of given degrees in directed scale-free graphs 来自 arXiv.org 喜欢 0 阅读量: 13 作者: Grechnikov, E. A. 摘要: In this paper, we study some important statistics of the random graph in the directed preferential attachment ...
Directed scale-free graphs. In Proceedings of the Fourteenth Annual ACM-SIAM Symposium on Discrete Algorithms, 132–139 (Society for Industrial and Applied Mathematics, 2003). 40. Vázquez, A., Flammini, A., Maritan, A. & Vespignani, A. Modeling of protein interaction networks. Complexus 1...
This article offers a review of three software packages that estimate directed acyclic graphs (DAGs) from data. The three packages, MIM, Tetrad and WinMine, can help researchers discover underlying causal structure. Although each package uses a different algorithm, the results are to some extent si...
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The critical behavior of the susceptible-infected-susceptible model is investigated on quenched directed scale-free networks with the in-degree ( k) distribution and the out-degree (l) distribution, . The correlation lang klrang of each node is controlled. In the model, an infected individual be...
showed the analysis on scale-free graphs is inaccurate for specific topologies [23]. The statistic topology models are generally based on undirected networks. However, there is an intrinsic directionality in the propagation in specific types of dynamics, e.g., infectious disease spreading [24] and...
The new technique proposed in this paper significantly increases the computation speed for stem kernels, which is a step toward the realization of a genome-scale search of ncRNAs using stem kernels. Since our method is capable of detecting remote homology, it is possible to discover new ncRNAs ...
simultaneously generating both node and edge attributes due to: (1) difficulty in modeling the iterative, interactive, and asynchronous process of both node and edge translation and (2) difficulty in learning and preserving the inherent consistency between the nodes and edges in generated graphs. A...
Lacking detailed knowledge of the string landscape, we model the network of vacua as random graphs with arbitrary degree distribution, including Erds-Rényi and scale-free graphs. As a complementary approach, we also model regions of the landscape as regular lattices, specifically Bethe lattices. ...