Cooperation Mechanism in Blockchain by Evolutionary Game Theory by Jinxin Zhang, Meng Wu

“…To better understand the blockchain design of cooperation mechanisms, in this paper, we constructed a game framework between participants with different willingness, using evolutionary game theory, and complex network games. We analyzed how the behavior of participants potentially develops with cost and payoff. …”
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Stanley Depth of the Edge Ideal of Extended Gear Networks and Application in Circuit Analysis by Guiling Zeng, Muhammad Mobeen Munir, Raheel Farooki, Muhammad Athar, Jia Bao Liu

“…Graph theory is widely used in power network analysis, complex network, and engineering calculation. Stanley depth is a geometric invariant of the module which is closely related to an algebraic invariant called depth of the module. …”
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Delay adaptive transmission method for scalable video streaming based on OpenFlow by Tao HUANG, Li ZHANG, Yun-yong ZHANG, Yun-jie LIU

“…This method combines SVC streaming scalable and flexible programmable features of OpenFlow effectively, and implements SVC streaming hierarchical adaptive transmission in a dynamic network,by building the base layer and the enhancement layer separate routes under complex network environment with limited network bandwidth and link congestion. …”
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Enter Sir Alfred, or Hitchcock’s Three Du Mauriers by Jean-Loup Bourget

“…It concludes that the complex network between Hitchcock and three generations of Du Mauriers is evidence of the Hollywood director’s abiding English roots and inspiration.…”
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A Decomposition Algorithm for Learning Bayesian Networks Based on Scoring Function by Mingmin Zhu, Sanyang Liu

“…The theoretical and experimental results show that our algorithm can efficiently and accurately identify complex network structures from small data set.…”
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Traffic identification of network business based on multi-layer cascade algorithm by Feng HUANG, Yao WANG, Li HUANG, Jiming YAO, Shidong LIU

“…The contradiction between traffic demand and network bandwidth is the main problem of the current network.Traffic management is one of the effective solutions,at the same time it can improve the quality of service of the network,and network traffic identification is the basis of fine traffic management.The traffic identification method of network business based on multi-layer cascade algorithm was proposed,after the research of network traffic identification and machine learning techniques.This method can adapt to the situation of the complex network traffic flow,and can balance the contradiction between the time performance and the accuracy of the machine learning algorithm.Furthermore the cascade algorithm of this method takes the cost imbalance into account,and takes more attention to the identification of important business,so it can help enhance user experience.…”
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The Construction of an Aircraft Control Multilayer Network and Its Robustness Analysis by Guangjian Ren, Ming Zhang, Yushuai Guo

“…The characteristics of ACMN are studied based on complex network theory. Simultaneously, according to the multilayer characteristics of ACMN and the relative entropy theory, a robustness analysis method is proposed. …”
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Modelling Regional Networks and Local Adaptation: West-Central Sicilian Relief Louteria by Andrew Farinholt Ward

“…This holistic approach to material study reveals a highly complex network of exchange, adaptation, and local production in sixth and fifth century Sicily far more dynamic than the simple binary of colonizer and colonized.…”
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Stochastic step-wise feature selection for Exponential Random Graph Models (ERGMs). by Helal El-Zaatari, Fei Yu, Michael R Kosorok

“…An empirical application to nine real-life binary networks demonstrates the method's effectiveness in accommodating network dependencies and providing meaningful insights into complex network interactions. Particularly notable is the adaptability of this methodology to both directed and undirected networks, overcoming the limitations of traditional ERGMs in capturing realistic network structures. …”
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PCEP application in cloud-network convergence and end to end traffic assurance scheme by Yue WANG, Aijun WANG, Honglei XU

“…With the booming development of new technologies such as cloud computing, big data and the continuous upgrading of communication infrastructure, the major domestic ISPs have proposed the development strategy of building a centralized control and flexible cloud network infrastructure under the trend of intelligent-traction network transformation.As a path calculation protocol widely used in the existing SDN architecture, PCEP protocol was often used to solve the problem of cross-layer and cross-domain path computing under complex network environment.The application of PCEP protocol in cloud-network convergence scenario was discussed and an end-to-end traffic guarantee scheme was introduced based on PCEP protocol which could ensure the connection-oriented network communication and make end-to-end service guarantee in native IP environment.It helps to improve the operators' ability of real-time perception, agile response and intelligent analysis of the network and meets the operation and maintenance management requirements such as global scheduling of communication resources, comprehensive opening of capabilities and flexible architecture.…”
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Co-Loan Network of Chinese Banking System Based on Listed Companies’ Loan Data by Liang Li, Qianting Ma, Jianmin He, Xin Sui

“…Based on the loan data of Chinese listed companies from 2008 to 2016, this paper constructs a co-loan network of the Chinese banking system and analyzes the topological structures and corresponding evolvement characteristics from the perspective of complex network. Through the empirical studies, we find that the co-loan network always displays a core-periphery structure; for example, ten banks including four state banks and six large commercial banks are always in the core region of the Chinese banking system for nine consecutive years. …”
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Multi-scale Laplacian community detection in heterogeneous networks by Pablo Villegas, Andrea Gabrielli, Anna Poggialini, Tommaso Gili

“…Heterogeneous and complex networks represent intertwined interactions between real-world elements or agents. …”
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Identifying vital nodes algorithm in social networks fusing higher-order information by Guanghui YAN, Meng ZHANG, Hao LUO, Shikui LI, Ting LIU

“…Identifying vital nodes is a basic problem in complex network research.The existing theoretical framework,mainly considered from the lower-order structure of node-based and edge-based relations often ignores important factors such as interactivity and transitivity between multiple nodes.To identify vital nodes more accurately,the motif,the high-er-order structure of the network,was studied as the basic unit.Firstly,a notion of higher-order degree of nodes in a com-plex network was proposed.Then,the higher-order structure and lower-order structure of nodes were fused into evidence theory.A semi-local identifying vital nodes algorithm fusing higher-order information of nodes was designed.The results of experiments on three real social networks show that the proposed algorithm can identify vital nodes more accurately in the network than the existing methods which only focus on the low-order structure.…”
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A survey on resource allocation in backscatter communication networks by Yongjun XU, Haoke YANG, Yinghui YE, Qianbin CHEN, Guangyue LU

“…With the development of Internet of things (IoT) technology, wireless networks have the characteristics of massive user access, high power consumption, and high capacity requirements.In order to meet the transmission requirements and reduce energy consumption, backscatter communication technology was considered to be one of the most effective solutions to the above problems.In the fact of complex network scenarios, the improvement of spectrum efficiency, system capacity, and energy management has become an urgent problem of resource allocation areas in backscatter communications.For this problem, resource allocation algorithms in backscatter communications were surveyed.Firstly, the basic concept and different network architectures of backscatter communication were introduced.Then, resource allocation algorithms in backscatter communication networks were analyzed according to different network types, optimization objectives, and the number of antennas.Finally, the challenges and future research trends of resource allocation problems in backscatter communication networks were prospected.…”
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Consensus Congestion Control in Multirouter Networks Based on Multiagent System by Xinhao Yang, Sheng Xu, Ze Li

“…Simulation results by MATLAB and Ns2 indicate that the proposed algorithm maintains a high throughput and a low packet drip ratio and improves the quality of the service in the complex network environment.…”
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Psychocardiology, discipline is essential in these times by Teresa Rodríguez Rodríguez

“…It emphasizes the importance of giving the study and psychological interventions in heart disease and a gender focus to include the study of the family as the cradle of learning styles of life, social support agent, as well as subjects that involved directly in the complex network of heart disease by genetic markers. It appeals to the need to sensitize medical professionals and doctors in the multifactorial approach of these diseases, as the only way to reduce morbidity and mortality from this cause and raise the quality of life of coronary patients.…”
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Detecting DDoS attack based on compensation non-parameter CUSUM algorithm by YAN Fen1~3, CHEN Yi-qun3, HUANG Hao1, YIN Xin-chun3

“…t,calculated the ratio of the number of unacknowledged segments and the number of all segments.Then,the statistical sequence based on time came into being.After that,an improved non-parameter recursive CUSUM algorithm was used to detect attack effi-ciently on line.In this procedure,the suspicious packets were also recorded.Experiments prove that this algorithm is fast and efficient.It has low false-positive rate and could adapt to more complex network environments.In addition,it is helpful to attack analysis and tracing.…”
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A Model for Evolution of Investors Behavior in Stock Market Based on Reinforcement Learning in Network by Xiaqun Liu, Yaming Zhuang, Jinsheng Li

“…Due to the heterogeneity of learning characteristics of bounded rational investors in investment decisions, we consider, respectively, the evolution mechanism of individual investors and institutional investors on the complex network theory and reinforcement learning theory. …”
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Gut microbiome diversity as adjuvant marker for immune function by Mahdaleny, Febriana Catur Iswanti

“…In essence, the extracellular matrix of gut mucosal biofilm is a complex network of microbes and their secretions, as well as the host's secretions and signals (mainly mucus/mucin). …”
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Optimization of Stakeholder Relation Network of the Qingdao Elderly Livable Community Construction Project by Mingyuan Dong, Guolei Liu

“…The paper aims to explore the relationship governance mechanism of multiple connections between related stakeholders. On the basis of complex network theory, this paper establishes a stakeholder relationship network model and describes different modes of different stakeholder relationship in the Qingdao construction project. …”
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