Finding key players in complex networks
WebCoupled dynamical systems such as complex supply networks (), electric power grids (), consensus algorithm networks (), or more generally network-coupled oscillators (18, 19) are, however, fundamentally different.There, the randomness of motion on the network giving, e.g., the Markov chain at the core of PageRank, is replaced by a deterministic … WebAug 1, 2024 · , A machine learning based framework for identifying influential nodes in complex networks, IEEE Access 8 (2024) 65462 – 65471. Google Scholar [17] Fan C.J., Zeng L., Sun Y.Z., Liu Y.Y., Finding key players in complex networks through deep reinforcement learning, Nat. Mach. Intell. 2 (6) (2024) 317 – 324. Google Scholar
Finding key players in complex networks
Did you know?
WebFeb 6, 2024 · In complex networks, understanding of the dynamics of the information spread in the networks is a crucial task in various ... Zeng, L.; Sun, Y.; Liu, Y.-Y.: Finding key players in complex networks through deep reinforcement learning. Nature Mach. Intell. 2, 317–324 (2024) Article Google Scholar Freeman, L.C.: Centrality in social …
WebJan 30, 2024 · Network controllability robustness reflects how well a networked system can maintain its controllability against destructive attacks. Its performance can be measured by a sequence of values that record the remaining controllability of the network after a sequential node-removal or edge-removal attacks. In this paper, a hybrid approximation (HyA) … WebDec 13, 2024 · Identifying the influential nodes in complex networks plays a crucial role in the fields of epidemic control and public opinion guidance. ... Fan C, Zeng L, Sun Y, (2024). Finding key players in complex networks through deep reinforcement learning. Nature machine intelligence 2(6), 317-324. Google Scholar; Liu D, Jing Y, Zhao J, (2024). A fast ...
WebJun 1, 2024 · This paper focuses on optimal disintegration strategies for spatial networks, aiming to find an appropriate set of nodes or links whose removal would result in maximal network fragmentation. We refer to the sum of the degree of nodes and the number of links in a specific region as region centrality. WebFinding an optimal set of nodes, called key players, whose activation (or removal) would maximally enhance (or degrade) a certain network functionality, is a fundamental class …
Webidentify key players in complex networks June 26 2024, by Ingrid Fadelli Finding key players in a network. (a) The 9/11 terrorist network, which contains 62 nodes and 159 edges. Nodes represent terrorists involved in the 9/11 attack, and edges represent their social communications. Node size is proportional to its degree.
WebJun 26, 2024 · FINDER, which stands for FInding key players in Networks through DEep Reinforcement learning, builds on recently developed deep learning techniques for solving combinatorial optimization … men\u0027s underwear with pouchesWebIdentifying key players in coupled individual systems is a fundamental problem in network theory. We investigate synchronizable network-coupled dynamical systems such as high … men\u0027s underwear with separate ball pouchWebAug 31, 2024 · Finding an optimal set of nodes, called key players, whose activation (or removal) would maximally enhance (or degrade) a certain network functionality, is a fundamental class of problems in ... men\\u0027s underwear with support pouchWebOct 17, 2024 · Finding key players in complex networks through deep reinforcement learning. Nature machine intelligence, Vol. 2, 6 (2024), 317--324. Linton C Freeman. 1977. A Set of Measures of Centrality Based on Betweenness. Sociometry, Vol. 40, 1 (1977), 35--41. Felipe Grando, Lisandro Z. Granville, and Luis C. Lamb. 2024. men\\u0027s uneek premium leatherWebAug 9, 2024 · Finding the optimum design of a complex auction is a challenging and important economic problem. Multi-agent deep learning can help find equilibria by making use of inherent symmetries in... men\u0027s underwear with wide waistbandWebIn recent years, some works are proposed to find key nodes via network connectivity measures, these studies assume a static environment, and besides, key nodes are calculated through pairwise connectivity, the number of connected components and other measures from the perspective of graph theory. ... Yang-Yu Liu, Finding key players in … men\u0027s underwear with separate pouch for ballsWebOct 26, 2024 · According to the results, our proposed method outperforms classical methods in identifying influential nodes and also indicates the potential for analyzing the influence evolution of networks, which shows a positive and effective impact on locating influencers and predicting potential key players in the future. how much weight has robin meade lost