Showing 221 - 240 results of 471 for search '"complex networks"', query time: 0.07s Refine Results
  1. 221

    Enhancement of quantum synchronization in triple-cavity system by Ruipeng Xia, Hanxiao Zhang, Chuhui Fan

    Published 2025-01-01
    “…This approach offers promising avenues for expanding quantum synchronization capabilities in multi-cavity systems and has significant implications for advancing quantum synchronization generation and application in complex networks.…”
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    Article
  2. 222

    Synchronizability of Multilayer Star and Star-Ring Networks by Yang Deng, Zhen Jia, Feimei Yang

    Published 2020-01-01
    “…Synchronization of multilayer complex networks is one of the important frontier issues in network science. …”
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    Article
  3. 223

    State Estimation for Fractional-Order Complex Dynamical Networks with Linear Fractional Parametric Uncertainty by Hongjie Li

    Published 2013-01-01
    “…Secondly, state estimation problem is then studied for the same fractional-order complex networks, where the purpose is to design a state estimator to estimate the network state through available output measurement, the existence conditions of designing state estimator are derived using matrix's singular value decomposition and LMI techniques. …”
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  4. 224

    Reading the Nonhuman:Literary Studies in the Anthropocene by Tadeusz Rachwał

    Published 2024-10-01
    “…Roland Barthes’s “deauthoration” of literary works clearly gestures towards an opening to the other, which in more recent approaches has been adapted into complex networks and connections with Donna Haraway’s companion species. …”
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  5. 225

    Immunosuppressive metabolites in tumoral immune evasion: redundancies, clinical efforts, and pathways forward by David Munn, Maria Rain Jennings, John Blazeck

    Published 2021-10-01
    “…We provide a comprehensive review of the complex networks orchestrated by several of the most potent immunosuppressive metabolites, highlighting the impact of adenosine, kynurenines, prostaglandin E2, and norepinephrine and epinephrine, while discussing completed and ongoing clinical efforts to curtail their impact. …”
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  6. 226

    Network Motifs in Football by Necmi Gürsakal, Fırat Melih Yılmaz, Halil Orbay Çobanoğlu, Sandy Çağlıyor

    Published 2018-12-01
    “…Complex networks often display network motifs and these can be described as subgraphs. …”
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    Article
  7. 227

    Stability in Mean of Partial Variables for Coupled Stochastic Reaction-Diffusion Systems on Networks: A Graph Approach by Yonggui Kao, Hamid Reza Karimi

    Published 2014-01-01
    “…The new method can help to analyze the dynamics of complex networks. An example is presented to illustrate the effectiveness and efficiency of the obtained results.…”
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  8. 228

    Vibration Performance Redistribution in Heterogeneous Networks by Genling Huang, Jiqiang Wang

    Published 2020-01-01
    “…Many important results have been disseminated concerning the properties of complex networks. Recent technological development requires performance distribution, and this motivates the resolution to the issue of performance distributability. …”
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  9. 229

    New method for link prediction in directed networks based on triad patterns by Sheng CHANG, Hong MA, Shuxin LIU

    Published 2019-10-01
    “…Almost all current studies on link prediction problem focus on undirected networks.Unfortunately,many complex networks in the real world are directed.Ignoring the direction of a link will overlook some important information or even make the prediction meaningless.Directly applying the methods for undirected networks to directed networks will reduce the accuracy of prediction.A new method for link prediction in directed networks based on triad patterns was proposed.The proposed metric compare the difference of triad structures between undirected and directed networks and use potential theory to filter the triad patterns.By statistics of triad closeness in various networks,new method calculate the similarity between nodes using the triad closeness index of a network as the weight for different triad patterns.Experiments on nine real networks show that accuracy of proposed method is 4.3% better than benchmark methods.…”
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  10. 230

    Community Detection with Self-Adapting Switching Based on Affinity by Ning-Ning Wang, Zhen Jin, Xiao-Long Peng

    Published 2019-01-01
    “…Community structures in complex networks play an important role in researching network function. …”
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    Article
  11. 231

    Invulnerability of small-world network against cascading failure based on nonlinear load-capacity model by Xiao-ping WU, Jia-sheng WANG, Yan-lin QIN, Qing YE

    Published 2014-06-01
    “…Research findings will provide useful guidance and reference in the optimization design of invulnerability for real complex networks.…”
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    Article
  12. 232

    A Local Extended Algorithm Combined with Degree and Clustering Coefficient to Optimize Overlapping Community Detection by Jing Liu, Junfang Guo, Qi Li

    Published 2021-01-01
    “…Community structure is one of the most important characteristics of complex networks, which has important applications in sociology, biology, and computer science. …”
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    Article
  13. 233

    Local stabilization and network synchronization: The case of stationary regimes by Stefano Fasani, Sergio Rinaldi

    Published 2010-05-01
    “…These results allow one to transfer, with almost no effort, what is known for simple prototypical models in biology and engineering to complex networks composed of these models. This is shown through a series of applications ranging from networks of electrical circuits to various problems in ecology and sociology involving migrations of plants, animal and human populations.…”
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    Article
  14. 234

    A Method for Improving the Accuracy of Link Prediction Algorithms by Jie Li, Xiyang Peng, Jian Wang, Na Zhao

    Published 2021-01-01
    “…Link prediction is a key tool for studying the structure and evolution mechanism of complex networks. Recommending new friend relationships through accurate link prediction is one of the important factors in the evolution, development, and popularization of social networks. …”
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  15. 235

    Information Entropy Based on Propagation Feature of Node for Identifying the Influential Nodes by Linfeng Zhong, Yu Bai, Yan Tian, Chen Luo, Jin Huang, Weijun Pan

    Published 2021-01-01
    “…For understanding and controlling spreading in complex networks, identifying the most influential nodes, which can be applied to disease control, viral marketing, air traffic control, and many other fields, is of great importance. …”
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  16. 236

    Single-Valued Neutro Hyper BCK-Subalgebras by M. Hamidi, F. Smarandache

    Published 2021-01-01
    “…We find a method that can apply these concepts in some complex networks.…”
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  17. 237

    The Spreading of Information in Online Social Networks through Cellular Automata by Yuda Wang, Gang Li

    Published 2018-01-01
    “…Epidemic dynamics in complex networks have been extensively studied. Due to the similarity between information and disease spreading, most studies on information dynamics use epidemic models and merely consider the characteristics of online social networks and individual’s cognitive. …”
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  18. 238

    Vertex Coloring and Eulerian and Hamiltonian Paths of Delaunay Graphs Associated with Sensor Networks by Manuel Ceballos, María Millán

    Published 2024-12-01
    “…Sensor networks represent distributed systems of interconnected devices that collect and transmit data, while graph theory provides a robust framework for modeling and analyzing complex networks. Specifically, we focus on vertex coloring, Eulerian paths, and Hamiltonian paths within the Delaunay graph associated with a sensor network. …”
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  19. 239

    Development of Deep Convolutional Neural Network with Adaptive Batch Normalization Algorithm for Bearing Fault Diagnosis by Chao Fu, Qing Lv, Hsiung-Cheng Lin

    Published 2020-01-01
    “…In this paper, a CNN integrated with the adaptive batch normalization (ABN) algorithm (ABN-CNN) is developed to avoid high computing resource requirements of such complex networks. It uses a large-scale convolution kernel at the grassroots level and a multidimensional 3 × 1 small convolution nuclear. …”
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  20. 240

    A fluid flow model for the software defined wide area networks analysis by Karol Marszałek, Adam Domański

    Published 2025-01-01
    “…This paper proposes an extension to the Fluid Flow analysis model for complex networks. This modification allows for the simulation of various networking topologies and can be used to test novel routing and active queue management algorithms in more detail. …”
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