Results 21 to 30 of about 242,831 (264)
Clustering drives cooperation on reputation networks, all else fixed
Royal Society Open Science, 2023 Reputation-based cooperation on social networks offers a causal mechanism between graph properties and social trust. Using a simple model, this paper demonstrates the underlying mechanism in a way that is accessible to scientists not specializing in ...
Tamas David-Barrett
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An Improved Link Prediction Approach for Directed Complex Networks Using Stochastic Block Modeling
Big Data and Cognitive Computing, 2023 Link prediction finds the future or the missing links in a social–biological complex network such as a friendship network, citation network, or protein network.
Lekshmi S. Nair +2 more
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Large values of the clustering coefficient
Discrete Mathematics, 2018 A prominent parameter in the context of network analysis, originally proposed by Watts and Strogatz (Collective dynamics of `small-world' networks, Nature 393 (1998) 440-442), is the clustering coefficient of a graph $G$. It is defined as the arithmetic mean of the clustering coefficients of its vertices, where the clustering coefficient of a vertex $u$
Michael Gentner +3 more
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Simulating retrieval from a highly clustered network: Implications for spoken word recognition
Frontiers in Psychology, 2011 Network science describes how entities in complex systems interact, and argues that the structure of the network influences processing. Clustering coefficient, C—one measure of network structure—refers to the extent to which neighbors of a node are also ...
Michael S Vitevitch +2 more
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Clustering and Closure Coefficient Based on k-CT Components
IEEE Access, 2020 Real-world networks contain many cliques since they are usually built from them. The analysis that goes behind the cliques is fundamental because it discovers the real structure of the network. This article proposed new high-order closed trail clustering
Petr Prokop +3 more
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Link prediction with node clustering coefficient [PDF]
Physica A: Statistical Mechanics and its Applications, 2016 8 pages, 3 ...
Wu, Zhihao +3 more
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Roles of Clustering Coefficient for the Network Reconstruction [PDF]
Mathematical Problems in Engineering, 2018 It is important to establish relations between the network reconstruction and the topological dynamical structure of networks. In this article, we quantify the effect for two types of network topologies on the performance of network reconstruction. First, we generate two network modes with variable clustering coefficient based on Holme-Kim model and ...
Han, Jingti +2 more
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Modeling and Analyzing the Simplest Network of Telephone Subscribers
Вісник Харківського національного університету імені В.Н. Каразіна. Серія: Математичне моделювання, інформаційні технології, автоматизовані системи управління, 2023 . Dynamic networks such as social, transport and biological networks are widely represented in the modern world. Modeling complex networks as time-varying structures opens up additional opportunities for studying their properties. Purpose. The goal of
Михайло Данілевський +1 more
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Epidemic spreading on coupling network with higher-order information layer
New Journal of Physics, 2023 Epidemic tends to break out with information spreading which occurs between pairwise individuals or in groups. In active social online platform, three or more individuals can share information or exchange opinion, which could be modeled as a clique ...
Yujie Zhu, Cong Li, Xiang Li
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Dynamical Topology Analysis Of Vanet Based On Complex Networks Theory
Cybernetics and Information Technologies, 2014 A Vehicular Ad hoc NETwork (VANET) is a special subset of multi-hop Mobile Ad hoc Networks, in which the vehicles wireless interfaces can communicate with each other, as well as with fixed equipments alongside city roads or highways.
Zhang Hong, Li Jie
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