Policy translation and configuration using dynamic template by Yunchuan GUO, Ling LI, Yongjun LI, Lin CHENG, Jun DU, Lingcui ZHANG

“…To solve the problem of complex,cumbersome and error-prone configuration of security devices caused by the heterogeneous configuration modes in complex networks,a dynamic template-based scheme for translating and configuring policy was proposed.In detail,considering the code’s features,the code-based template for translating policies was constructed to configure the command line conversion,and the keyword comparison method was used to ensure the accuracy of policy configuration.Experiments show that the scalability and the accuracy of the proposed scheme.…”
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Two Complex Graph Operations and their Exact Formulations on Topological Properties by Shehla Hameed, Muhammad Kamran Jamil, Muhammad Waheed, Muhammad Azeem, Senesie Swaray

“…Graph operations are utilized for developing complicated graph structures from basic graphs, and these basic graphs can help to understand the properties of complex networks. While on the other side, the topological descriptor is known as a numeric value that is associated with the graph of a network. …”
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Statistical Analyses of a Class of Random Pentagonal Chain Networks with respect to Several Topological Properties by Jia-Bao Liu, Qing Xie, Jiao-Jiao Gu

“…There has been an upsurge of research on complex networks in recent years. The purpose of this paper is to study the mathematical properties of the random pentagonal chain networks PECn with the help of graph theory. …”
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Synchronizability of Multilayer Star and Star-Ring Networks by Yang Deng, Zhen Jia, Feimei Yang

“…Synchronization of multilayer complex networks is one of the important frontier issues in network science. …”
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Enhancement of quantum synchronization in triple-cavity system by Ruipeng Xia, Hanxiao Zhang, Chuhui Fan

“…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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Seismic Isolation Performance Evaluation for a Class of Inerter-Based Low-Complexity Isolators by Fei Cao, Michael Z. Q. Chen, Yinlong Hu

“…In this paper, the seismic base isolation problem for all low-complexity networks containing one inerter, one spring, and one damper is studied based on a multi-degree-of-freedom model. …”
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Vibration Performance Redistribution in Heterogeneous Networks by Genling Huang, Jiqiang Wang

“…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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Link Prediction in Complex Hyper-Networks Leveraging HyperCentrality by Y. V. Nandini, T. Jaya Lakshmi, Murali Krishna Enduri, Mohd Zairul Mazwan Jilani

“…In complex networks, predicting the formation of new connections, or links, within complex networks has been a central challenge, traditionally addressed using graph-based models. …”
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Hybrid probe combining MicroLED and neural electrode for precise neural modulation and multi-site recording by Gota Shinohara, Tasuku Kayama, Ayumu Okui, Wataru Oda, Atsushi Nishikawa, Alexander Loesing, Nahoko Kuga, Takuya Sasaki, Hiroto Sekiguchi

“…Optogenetics enables precise neural control but is limited by conventional optical fibers in complex networks. We present a hybrid device integrating multi-point micro-light-emitting diodes (MicroLEDs) with neural electrodes for localized light stimulation and simultaneous neural recording. …”
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Immunosuppressive metabolites in tumoral immune evasion: redundancies, clinical efforts, and pathways forward by David Munn, Maria Rain Jennings, John Blazeck

“…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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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

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

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

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

“…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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Irreversibility in non-reciprocal chaotic systems by Tuan Minh Pham, Albert Alonso, Karel Proesmans

“…In this paper, we address this question by developing a stochastic-thermodynamics treatment of complex networks that exhibit chaos. Specifically, we establish an exact relation between the averaged entropy production rate—a measure of irreversibility—and the autocorrelation function for an infinite system of neurons coupled via random non-reciprocal interactions. …”
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A Method for Improving the Accuracy of Link Prediction Algorithms by Jie Li, Xiyang Peng, Jian Wang, Na Zhao

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

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

“…Community structures in complex networks play an important role in researching network function. …”
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A growth model for citations networks by Pedro Castillo-Castillo, Enrique Stevens-Navarro, Ulises Pineda-Rico, Abel Garcia-Barrientos, Francisco R. Castillo-Soria, Jesus Acosta-Elias

“…Abstract In some complex networks, nodes can continuously increase or decrease the number of their incoming and outgoing links. …”
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Local stabilization and network synchronization: The case of stationary regimes by Stefano Fasani, Sergio Rinaldi

“…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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