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Journal articles on the topic 'Network analyze'

Author: Grafiati

Published: 28 June 2021

Last updated: 10 February 2022

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1

PELLEGRINI, Lilla, Monica LEBA, and Alexandru IOVANOVICI. "CHARACTERIZATION OF URBAN TRANSPORTATION NETWORKS USING NETWORK MOTIFS." Acta Electrotechnica et Informatica 20, no. 4 (January 21, 2020): 3–9. http://dx.doi.org/10.15546/aeei-2020-0019.

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We use tools and techniques specific to the field of complex networks analysis for the identification and extraction of key parameters which define ”good” patterns and practices for designing public transportation networks. Using network motifs we analyze a set of 18 cities using public data sets regarding the topology of network and discuss each of the identified motifs using the concepts and tools of urban planning.

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Chen, Guobin, Jun Qi, Chao Tang, Ying Wang, Yongzhong Wu, and Xiaolong Shi. "Analysis and Research of Key Genes in Gene Expression Network Based on Complex Network." Complexity 2020 (December 10, 2020): 1–12. http://dx.doi.org/10.1155/2020/8816633.

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Gene expression network is also a type of complex network. It is challenging to analyze the gene expression network through relevant knowledge and algorithms of a complex network. In this paper, the existing characteristics of genes are analyzed from various indexes of the gene expression network to analyze key genes and TOP genes. Firstly, gene chip data are screened, gene data with obvious characteristics are selected, and relevant clustering characteristics are analyzed. Then, the complex gene network structure is established, and gene networks with different threshold shapes and different sizes are selected. Finally, the relevant indexes and PR values after the PageRank algorithm are analyzed for complex networks under different thresholds, thus establishing the TOP gene and PR sequence.

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Chongwatpol, Jongsawas, and Ramesh Sharda. "SNAP: A DSS to analyze network service pricing for state networks." Decision Support Systems 50, no. 1 (December 2010): 347–59. http://dx.doi.org/10.1016/j.dss.2010.05.009.

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LANDSPERGER, JOHANNES, PATRICK SPIETH, and SVEN HEIDENREICH. "HOW NETWORK MANAGERS CONTRIBUTE TO INNOVATION NETWORK PERFORMANCE." International Journal of Innovation Management 16, no. 06 (November 30, 2012): 1240009. http://dx.doi.org/10.1142/s1363919612400099.

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Innovation networks that aim at the joint development of products, services or processes represent a particular form of inter-organizational business networks. In order to yield useful results from these collaborations, networks need to be managed thoroughly. By appointing a dedicated network manager to administrate, coordinate, and regulate, the management of tasks is bundled and centralized within a single entity. However, to the best knowledge of the authors, no empirical research has yet been conducted, investigating the impact of a network manager's availability, relevance, and influence on network performance. Using the interaction-oriented network approach as conceptual foundation, we analyze network managers' direct and indirect influence on the network's relational and goal achievement performance. Our results suggest that a network manager enhances innovation network's core management functions, which in turn improve the relational performance (RP). Moreover, RP was found to significantly drive the goal achievement performance (GAP).

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MingHsiung Ying, and HaoHsuan Huang. "Item Selection Strategic via Social Network Analyze." International Journal of Digital Content Technology and its Applications 5, no. 3 (March 31, 2011): 333–42. http://dx.doi.org/10.4156/jdcta.vol5.issue3.33.

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Niederberger, Craig S., Larry I. Lipshultz, and Dolores J. Lamb. "A neural network to analyze fertility data *†‡." Fertility and Sterility 60, no. 2 (August 1993): 324–30. http://dx.doi.org/10.1016/s0015-0282(16)56106-8.

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Du, Yan Ping, Fang Fang Chen, and Zhen Hua Zhang. "Analysis of Urban Rail Transit Based on Complex Network." Applied Mechanics and Materials 90-93 (September 2011): 770–73. http://dx.doi.org/10.4028/www.scientific.net/amm.90-93.770.

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The development of urban rail transit plays the more and more important role in the public transit. It’s significant to analyze the urban rail transit network characteristics and its stability. The basic statistics parameters of Beijing metro network are computed in the paper based on the theory of complex networks, and its network characteristic is analyzed through the comparison to characteristic parameters of four typical networks.

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Yuan, Ming Hui, and Yan Qing Gong. "A Novel Monitoring Network System of Wireless Sensor Network." Applied Mechanics and Materials 241-244 (December 2012): 908–11. http://dx.doi.org/10.4028/www.scientific.net/amm.241-244.908.

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A novel WSNS (wireless sensor network sniffer) is used to analyze and evaluate the Wireless Sensor Networks (WSN) effectively, which is designed to monitor IEEE 802.15.4 protocol frame of the Ethernet. Unlike the existed monitoring system, this design has higher efficiency and needs less resource. It is analyzed in this paper that the monitor network framework, time synchronization, and analysis program design. The results show that WSNS can real time display the monitored frame and dynamic changes of WSN topology.

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Gómez-Vela, Francisco, Norberto Díaz-Díaz, José A. Lagares, José A. Sánchez, and Jesús S. Aguilar-Ruiz. "Using graph theory to analyze gene network coherence." EMBnet.journal 18, B (November 9, 2012): 32. http://dx.doi.org/10.14806/ej.18.b.541.

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Xu, Jin Jin, Sheng Jun Su, and Ming Hui Yuan. "A Simple Monitoring Network System of Wireless Sensor Network." Applied Mechanics and Materials 278-280 (January 2013): 689–92. http://dx.doi.org/10.4028/www.scientific.net/amm.278-280.689.

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A SSNS (simple sensor network sniffer) is used to analyze and evaluate the Wireless Sensor Networks (WSN) effectively. SSNS is designed to monitor IEEE 802.15.4 protocol frame, which based on the Ethernet. Unlike the existed monitoring system, our design is much simpler and needs less resource. It is analyzed in this paper that the monitor network framework, time synchronization, and analysis program design. The results show that SSNS works stably, and can real-time display the frame monitored and reflect the dynamic change of WSN.

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Palsson, Bernhard O., Nathan D. Price, and Jason A. Papin. "Development of network-based pathway definitions: the need to analyze real metabolic networks." Trends in Biotechnology 21, no. 5 (May 2003): 195–98. http://dx.doi.org/10.1016/s0167-7799(03)00080-5.

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12

LAGESSE, C., P. BORDIN, and S. DOUADY. "A spatial multi-scale object to analyze road networks." Network Science 3, no. 1 (February 12, 2015): 156–81. http://dx.doi.org/10.1017/nws.2015.4.

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AbstractCity road networks have been extensively studied for their social significance or to quantify their connections and centralities, but often their geographical origin is forgotten. This work focuses on the spatial-geographical and geometrical aspects of the road network skeleton. Following previous work, a multi-scale object, the way, is constructed, based only on the local geometry at road crossings. The best method to reconstruct significant elements is investigated. The results show that this object is geographically meaningful, with many particular characteristics. A new indicator, structurality, is introduced and compared with previous indicators, on the cities of Paris and Avignon. Structurality appears to be stable over the borders of the map sample, and is able to reveal the underlying coherence of the road network. This stability can be interpreted as coming from the particular way the network developed in time, and was later preserved. This link with the historical development of the cites, which deserves to be further studied, is exemplified in the cases of Villers-sur-Mer (France) and Manaus (Brazil). The construction method, the results, and their potential meaning are discussed in detail so that they can be used in various related disciplines, such as sociology, town planning, geomatics, and physics.

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Zavala, Araceli, David Nowicki, and Jose Emmanuel Ramirez-Marquez. "Quantitative metrics to analyze supply chain resilience and associated costs." Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability 233, no. 2 (April 12, 2018): 186–99. http://dx.doi.org/10.1177/1748006x18766738.

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The growth of global supply chains has allowed trading partners to experience synergistic, economic expansion and increase their competitive success. At the same time, reliance on global supply chains exposes its trading partners to unforeseen disruptions. While the economic benefits are tremendous, they are not without risk as global supply chains are by their very nature susceptible to a wide array of disruptions. Methods that mitigate the effect of disruption directly contribute to the competitive success of global supply chain networks. One approach for mitigating the effects of disruption is to increase resilience. Thus, this research focuses on understanding supply chain vulnerability and how to return the supply chain to its desirable performance level after a disruptive event by reconfiguring the supply chain network. This article frames this foundational work in the context of systems theory to add to the body of resilience research by providing a time-dependent definition of supply chain resilience. This article then provides a mathematical model, based on inventory theory that operationalizes that definition. The model is presented in the context of a multi-echelon, post-production support network of a sustainment-dominated system such as those found in the aerospace, defense, utilities, and construction industries. The model demonstrates the post-disruption resilience at each supply chain network node along with the investment necessary to restore the network.

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Li, Shouwei, and Jianmin He. "Loss distribution of systemic defaults in different interbank networks." International Journal of Modern Physics C 27, no. 10 (August 29, 2016): 1650121. http://dx.doi.org/10.1142/s0129183116501217.

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We analyze the impact of the network structure, the default probability and the loss given default (LGD) on the loss distribution of systemic defaults in the interbank market, where network structures analyzed include random networks, small-world networks and scale-free networks. We find that the network structure has little effect on the shape of the loss distribution, whereas the opposite is true to the default probability; the LGD changes the shape of the loss distribution significantly when default probabilities are high; the maximum of the possible loss is sensitive to the network structure and the LGD.

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Oberth, Adolf E. "Dilutability, a Potential Method to Analyze Polyurethane Elastomers." Rubber Chemistry and Technology 62, no. 1 (March 1, 1989): 55–67. http://dx.doi.org/10.5254/1.3536235.

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Abstract Evidence presented in the foregoing study indicates a strong dependance of dilutability on the fraction of effective chains. There is some dependence on the level of crosslinking and, perhaps, on solvatibility of the polymeric network in question. Thus, it is possible that networks prepared from different prepolymers but with the same FEC might show some difference in dilutability. This is a difficult question to answer, as well-characterized prepolymers that could serve as a standard are not available. Dilutability should be particularly useful in quality-control type applications, where lot to lot differences of essentially the same prepolymer are assessed.

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Corel, Eduardo, Philippe Lopez, Raphaël Méheust, and Eric Bapteste. "Network-Thinking: Graphs to Analyze Microbial Complexity and Evolution." Trends in Microbiology 24, no. 3 (March 2016): 224–37. http://dx.doi.org/10.1016/j.tim.2015.12.003.

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17

Guo, Lin, and Ben Zhang. "Mining structural influence to analyze relationships in social network." Physica A: Statistical Mechanics and its Applications 523 (June 2019): 301–9. http://dx.doi.org/10.1016/j.physa.2019.02.005.

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Gupta, A. K., Bianca Maria Piraccini, Vincent Piguet, and Antonella Tosti. "15952 Network meta-analysis to analyze alopecia areata treatment." Journal of the American Academy of Dermatology 83, no. 6 (December 2020): AB164. http://dx.doi.org/10.1016/j.jaad.2020.06.746.

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19

Adami, Vivian Sebben, and Jorge Renato Verschoore. "Implications of Network Relations for the Governance of Complex Projects." Project Management Journal 49, no. 2 (April 2018): 71–88. http://dx.doi.org/10.1177/875697281804900205.

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Our article aims to answer the call for studies on new perspectives of complex projects and their governance. We adopt the social network approach to investigate the implications of network relations for the governance of project networks. We analyze quantitative and qualitative data following two theoretical models: flow and coordination. Our results show how the supply, contractual, and information networks influence the governance of project networks. We contribute to the literature explaining the dependence of the project network governance to network relations. It is necessary to use different theoretical models to analyze the coordination and control of complex project networks.

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20

Ma, De Xin, Jian Ma, Peng Min Xu, Cai Xia Song, and Ying Pang. "Solar-Powered Wireless Sensor Network’s Energy Gathering Technology." Applied Mechanics and Materials 477-478 (December 2013): 396–99. http://dx.doi.org/10.4028/www.scientific.net/amm.477-478.396.

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We analyze the solar-powered wireless sensor network's energy gathering techniques, aiming to prolong the lifetime of wireless sensor network. We summarize wireless sensor network node's energy autonomy system, its characteristics in detail and new technology adopts, provides some suggestions and new ideas in the design and research of solar-powered wireless sensor networks.

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López-Vizcaíno, Manuel, Carlos Dafonte, Francisco Nóvoa, Daniel Garabato, and M. Álvarez. "Network Data Unsupervised Clustering to Anomaly Detection." Proceedings 2, no. 18 (September 17, 2018): 1173. http://dx.doi.org/10.3390/proceedings2181173.

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In these days, organizations rely on the availability and security of their communication networks to perform daily operations. As a result, network data must be analyzed in order to provide an adequate level of security and to detect anomalies or malfunctions in the systems. Due to the increase of devices connected to these networks, the complexity to analyze data related to its communications also grows. We propose a method, based on Self-Organized Maps, which combine numerical and categorical features, to ease communication network data analysis. Also, we have explored the possibility of using different sources of data.

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Albareda, Laura, and Sandra Waddock. "Networked CSR Governance: A Whole Network Approach to Meta-Governance." Business & Society 57, no. 4 (January 13, 2016): 636–75. http://dx.doi.org/10.1177/0007650315624205.

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Meta-governance is Earth system governance for dealing with the global commons. This article develops a whole network approach to meta-governance to explore the potential for collective action for sustainable development by a loosely coupled network of networks. Networked corporate social responsibility (CSR) governance has emerged around corporate sustainability and responsibility in the first years of the 21st century. Growing agreements and interactions among CSR initiatives suggest the development, structure, and governance of networked CSR governance as a network that can analytically be viewed as a whole and as a platform for learning about systemic change. Using the evolution of CSR initiatives from about 1990 to 2014, the authors differentiate four developmental stages: independent and fragmented multistakeholder networks as CSR governance, collaborative CSR governance, networked CSR governance, and integrated networked CSR governance. The authors then present a framework to analyze networked CSR governance as a whole network experimenting with meta-governance.

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23

Geng, Wei Jiang. "Research on Database Design Based on Wireless Sensor Network." Applied Mechanics and Materials 539 (July 2014): 239–42. http://dx.doi.org/10.4028/www.scientific.net/amm.539.239.

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This paper analyzes the composition of architecture and sensor nodes in wireless sensor networks, component models running on the nodes embedded operating system and programming model based on nesC. Then, we analyze network databases based on wireless sensor, design and implement wireless sensor network database TaraxDB, focused on design and implement the receiving client inquiries, analysis and presentation, send queries and receive results between the database client and sensor networks, database client Receive query and submit the results between the client and the user, The main feature on the database, including front-end and network nodes, as well as the completion of key technical queries collaboration between nodes.

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Wang, Jing Yao, Meng Jia Li, Mei Song, and Ying Hai Zhang. "The Information Theoretic Perspective on Context Aware Network Design." Advanced Materials Research 433-440 (January 2012): 5073–77. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.5073.

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Information theory has made great impact on the research of communication systems. However, analyze and design of networks has not benefited too much from information theory. Therefore, in this paper, we propose the information-theoretical framework of context aware network to explore the relationship between the information and the network performance. We also analyze the information traffic process in context aware network. To illustrate our approach, we analyze the architecture of context aware network by the information entropy produced in the network, and discuss the way to improve the performance of context aware in an information-theoretic perspective. The results in this paper may be also used to design other network and guide the future network design.

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Paramonov, Alexander, Ammar Muthanna, Omar I. Aboulola, Ibrahim A. Elgendy, Riad Alharbey, Evgeny Tonkikh, and Andrey Koucheryavy. "Beyond 5G Network Architecture Study: Fractal Properties of Access Network." Applied Sciences 10, no. 20 (October 15, 2020): 7191. http://dx.doi.org/10.3390/app10207191.

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Wireless networks connect various devices through radio waves in which the network connection may have different structures. Moreover, the network structure is determined based on the placement areas of the network elements, which can be affected by the building and their locations. However, the numerical characteristic which describe the features of the real environment and allow them to be related to the properties of the model are still a challenge that has not been well addressed. To this end, in this paper, we analyze the modeling problems related to the structure of user placement in the access network. Our proposed solution is based on a description of the user environment structure in which cities in the form of buildings and constructions are considered as a typical environment. We propose a new model for addressing the wireless network structure in an efficient manner in which the features of the environment are considered, which are numerically expressed in the form of the Hurst parameter or fractal dimension. In addition, the fractal dimension, geometric fractals, and the characteristics of the user’s distribution territory and urban development are efficiently utilized. Then, we analyze the influence of the fractal properties of the environment on the structure of promising communication networks; in particular, on the structure of the Internet of Things network. Finally, simulation results proved that the proposed model is considered as a beneficial solution for modeling mobile communication and wireless access networks, including fifth-generation networks.

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WEN, HAO, ZHENG-FU HAN, GUANG-CAN GUO, and PEI-LIN HONG. "QKD NETWORKS WITH PASSIVE OPTICAL ELEMENTS: ANALYSIS AND ASSESSMENT." International Journal of Quantum Information 07, no. 06 (September 2009): 1217–31. http://dx.doi.org/10.1142/s0219749909005730.

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Quantum Key Distribution (QKD) networks are the trends toward multiple users' unconditional secure communication. Based on several passive optical devices, such as beam splitter, optical switch or wavelength divided multiplexer, various types of fiber-based QKD networks have been proposed. However, it is still hard to accurately assess these networks. To find the optimal solution, a general assessment that would not involve detailed schemes is quite necessary. In this paper, we introduce an evaluation method and analyze optical-device-based QKD networks including two rational aspects: (i) network connectivity and network bandwidth which reflect the network's flexibility and performance in theory; (ii) network cost that brings pragmatic restriction on the network construction in practice. Applying this model, we compare five typical types of optical-device-based QKD networks. The explicit results demonstrate the above networks' characteristics and some valuable conclusions.

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Kalampakas, Argyrios, and Georgios C. Makris. "Statistical Analysis to Bitcoin Transactions Network." International Journal of Statistics and Probability 9, no. 5 (August 28, 2020): 85. http://dx.doi.org/10.5539/ijsp.v9n5p85.

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There is abundantly documented scientific evidence that the financial transactions that have grown rapidly recently, in conjuction with the interest of the public, were due to the sharp rise in the price of Bitcoin in December 2017. As a consequence, a freshly emerging dataset in the research community has emerged. Therefore, the aim of the present investigation was to examine the analyses of data in this newly emerging dataset in the research community. In order to achieve the extraction of data, their conversion to network and finally their fragmentation, the studied variables were analyzed by using two parts of analysis, namely, statistical network analyses and economic activity analyses. Network statistical analyses was employed aiming to analyze, in a holistic approach, the complex systems of modern times which are represented as networks, as it is impossible to analyze them partially, in order to avoid incorrect conclusions. Additionally, the analyses of economic activity, which is related to indicators from the stock market and the economics of science, was used, after it had been transferred and matched with the economic model represented by Bitcoin. The results distinguished the extent of the data generated by the statistical analyses of the networks and the analyses of economic activity. With respect to data presented, we established that the daily transaction networks were scale free networks which were not evolving like ER random networks and they were not defined as the small world. Also, it was demonstrated that daily transaction networks cannot be reproduced in a random way like ER random networks. Furthermore, the opportunities and problems encountered in conducting the present research were briefly presented.

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Hu, Zhi-Hua, Chan-Juan Liu, and Paul Tae-Woo Lee. "Analyzing Interactions between Japanese Ports and the Maritime Silk Road Based on Complex Networks." Complexity 2020 (May 15, 2020): 1–18. http://dx.doi.org/10.1155/2020/3769307.

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This article considers how the Japanese ports interact with the ports of China and along the 21st century Maritime Silk Road (MSR) while they are embedded in the global port network, especially in the context of China’s Belt and Road Initiative. At a port level, it primarily uses connectivity analysis to analyze the port relations and significances in the maritime network. In contrast, at the network level, it applies the methods from network sciences to analyze the significances of these maritime networks and the interactions among the maritime networks of Japan, China, and MSR. This article extracts a large-scale maritime network from ports and vessels’ profiles and data of vessels’ Automatic Identification System (AIS). It then examines the relations among the networks (including Japan, China, MSR, and global ports) after defining the maritime networks, network generation schemes, and port network analysis tools. Based on the analysis results and findings, this study draws some implications for regional ports and shipping development and the global supply network.

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Yang, Guang Yong. "Design of Carbon Efficient Online Logistics Networks." Advanced Materials Research 962-965 (June 2014): 1444–49. http://dx.doi.org/10.4028/www.scientific.net/amr.962-965.1444.

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With development of internet network, more traditional brick-and-mortar firms sell products via online channels. The key feature of online channels is home delivery, hence, how to design efficient online logistics networks has been the core problem faced by online firms. Furthermore, with increasing pollution of ecological environment and global warming, more carbon emission regulations enacted and implemented also impact firms operation and decision. This paper mainly study online logistics networks design constraint from carbon emission regulations. We analyze the following three types of networks, dropping delivery network (D), delivery network via distribution center (W), and last mile delivery network (L). Combining carbon emission from inbound and outbound transportation, and emission from inventory storage, we design optimal logistics networks and then analyze online logistics network design of Sunfeng best choice firm.

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Jin, Xi, Nan Guan, Jintao Wang, and Peng Zeng. "Analyzing Multimode Wireless Sensor Networks Using the Network Calculus." Journal of Sensors 2015 (2015): 1–12. http://dx.doi.org/10.1155/2015/851608.

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The network calculus is a powerful tool to analyze the performance of wireless sensor networks. But the original network calculus can only model the single-mode wireless sensor network. In this paper, we combine the original network calculus with the multimode model to analyze the maximum delay bound of the flow of interest in the multimode wireless sensor network. There are two combined methods A-MM and N-MM. The method A-MM models the whole network as a multimode component, and the method N-MM models each node as a multimode component. We prove that the maximum delay bound computed by the method A-MM is tighter than or equal to that computed by the method N-MM. Experiments show that our proposed methods can significantly decrease the analytical delay bound comparing with the separate flow analysis method. For the large-scale wireless sensor network with 32 thousands of sensor nodes, our proposed methods can decrease about 70% of the analytical delay bound.

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CHENGDONG, DONG, and LIU ZENGRONG. "AN IDEAL DISASSORTATIVE NETWORK AND SYNCHRONIZATION." International Journal of Bifurcation and Chaos 16, no. 10 (October 2006): 3093–102. http://dx.doi.org/10.1142/s0218127406016689.

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This paper proposes a novel complex network with disassortative property based on multicenter networks. The average path length and clustering coefficient of the network are calculated, and the impact on the network topology is investigated. A simple dynamic system established on the proposed network is used to analyze how the disassortative property of the network affects synchronization.

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Polites, Greta, and Richard Watson. "Using Social Network Analysis to Analyze Relationships Among IS Journals." Journal of the Association for Information Systems 10, no. 8 (August 2009): 595–636. http://dx.doi.org/10.17705/1jais.00206.

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Zenk, Lukas, Christoph Stadtfeld, and Florian Windhager. "How to analyze dynamic network patterns of high performing teams." Procedia - Social and Behavioral Sciences 2, no. 4 (2010): 6418–22. http://dx.doi.org/10.1016/j.sbspro.2010.04.051.

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Coskunkan, B., D. Rende, N. Baysal, and B. Kirdar. "An integrative network based approach to analyze Type 2 diabetes." New Biotechnology 27 (April 2010): S43—S44. http://dx.doi.org/10.1016/j.nbt.2010.01.065.

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35

Ohta, Masataka. "Fluid model to analyze overload characteristics of a telephone network." Electronics and Communications in Japan (Part I: Communications) 72, no. 12 (December 1989): 1–9. http://dx.doi.org/10.1002/ecja.4410721201.

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Wei, Sheng, Lei Wang, Xiongwu Fu, and Tao Jia. "Using Open Big Data to Build and Analyze Urban Bus Network Models within and across Administrations." Complexity 2020 (July 10, 2020): 1–13. http://dx.doi.org/10.1155/2020/5402620.

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Urban bus networks play an important role, when the capacity of urban public services is evaluated. With recent advancements in Internet and Communication Technologies, there is an emerging interest in building an urban bus network model through open big data. This has rarely been investigated and exposes several challenges in the provision of transportation services in urban planning. On the one hand, it is necessary to combine bus stations based on spatial distance constraints due to their ambiguous definition in open big data; on the other hand, it is difficult and time-consuming to relocate and build new stations, but the optimization of bus lines is relatively easy to implement. This study aimed to develop an explicit methodological framework for building and analyzing two different types of urban bus network model using open big data. Thereafter, the framework was applied in two case studies in China, within a county-level administration and in a region including three county-level administrations. The key result shows that there was a shortage of urban bus services across these different administrations. This paper contributes to the body of research methodologies into public transport networks and to understanding the sharing of urban public services across administrations, improving the management of urban bus networks, and highlighting the importance of examining the characteristics of urban bus network in county-level administrations rather than just in large cities in China.

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Wang, Zhi Kun. "Application of Complex Network Theory in Computer Network Topology Optimization Research." Advanced Materials Research 989-994 (July 2014): 4237–40. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.4237.

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If we apply the system internal elements as nodes, and the relationship between the elements as connection, then the system form a network. If we put emphasis on the structure of the system and analyze the function of the system from the angle of structure, we’ll find that real network topology properties differ from previous research network, and has numerous nodes, which is called complex networks. In the real word, many complex systems can be basically described by the network, while the reality is that complex systems can be called as “complex network”, such as social network, transportation network, power grids and internet etc. In recent years, many articles about the complex networks are released in the international first-class publications such as Nature, PRL, PNAS, which reflects that the complex networks has become a new research focus.

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Luo, Guande. "Application of Optical Network Transmission Technology in Telecommunication Network." Journal of Networking and Telecommunications 2, no. 3 (October 18, 2020): 62. http://dx.doi.org/10.18282/jnt.v2i3.1363.

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<p>In the telecommunication network, the optical network transmission system is one of the most important components. The system mainly includes two elements, namely transmission media and node equipment. In the specific operation process, the effective use of the system can fundamentally provide practical and effective support for the telecommunication network, and it is safer and more effective applied in the telecommunication support network and various business networks. Moreover, it can carry out long-distance and large-capacity business transmission. Optical network transmission system and technology has a vital direct impact on the safe operation and innovative development of telecommunications networks, so it is very important and necessary to analyze and discuss the application of this technology in telecommunications networks. This article focuses on the analysis and discussion of the application of optical network transmission technology in telecommunication network and the specific implementation strategy, aiming to provide some reference for relevant practitioners.</p>

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V.A., Pikalov, and Klymenko M.S. "Analysis of the trajectory shapes of moving objects in the video sequence with use of structural description." Artificial Intelligence 25, no. 1 (March 9, 2020): 65–71. http://dx.doi.org/10.15407/jai2020.01.065.

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This article proposes using structural description for graphical objects to solve an urgent task of trajectory analysis. A range of modern trajectory analysis approaches were analyzed and the best that is based on Graph Convolutional Neural Networks and Suffix Tree Clustering algorithm was chosen. Descripted ways to reduce computational sources for this neural network approach. This neural network was adapted to analyze structural description and advantages of this approach are shown.

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He, Han, Si Yi, and Weiwei Liu. "Intelligent Learning Model of Financial Spoken English Teaching based on BPTT algorithm and LSTM Network Model." Journal of Intelligent & Fuzzy Systems 39, no. 4 (October 21, 2020): 4835–46. http://dx.doi.org/10.3233/jifs-179969.

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It is of great research value and practical significance to use new technology to improve the accuracy of English speech recognition and apply the system to mobile platforms for users to use. The main content of this paper is the long-term and short-term memory, and the current decoding part is applied to the Android platform, and the performance of the program is analyzed. Neural networks converge slowly, making learning long-term memory difficult. In the experiment, the BPTT algorithm is used to analyze the problem of error elimination in traditional recursive networks. Combining BPTT algorithm in LSTM network to solve the problem of traditional error elimination and improve speech recognition rate. In addition, this paper uses a new LSTM recurrent neural network to study the implementation of LSTM network on Android platform. Finally, this paper designs a comparative experiment to analyze the efficiency of oral English recognition. The results show that the research algorithm of this paper has certain effects.

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Wu, Yina, and Hui Ma. "Logistics Network Nodes Importance Analysis Based on the Complex Network Theory." Applied Mechanics and Materials 336-338 (July 2013): 2410–14. http://dx.doi.org/10.4028/www.scientific.net/amm.336-338.2410.

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Logistics systems can be abstracted to complex networks which are composed of logistics nodes and transport routes. The structure and geometric properties of the complex network has an important impact on the logistics industry development and management. The article use a provinces logistics network as the prototype and build a complex network. Apply complex network theory to analyze the logistics network. The article found that the logistics network has small-world properties. Also, the article discussed the important nodes based on the statistical indictors. Finally, compare the results with the real planning nodes level.

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Song, Zhuo, Wei Wang, Zhao Han, and Donghui Ma. "Analyze the Surplus Power Entropy of Water Supply Network after an Earthquake Based on the Pressure Drive Demand (PDD) Model." Sustainability 12, no. 4 (February 20, 2020): 1591. http://dx.doi.org/10.3390/su12041591.

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It is necessary to evaluate the reliability of the water supply network, when the water supply network is damaged by an earthquake. Therefore, this paper researched the feasibility and characteristics of the surplus power entropy as the reliability index of the water supply network, and established a scheme framework for optimizing and improving the reliability of the water supply network. This paper developed a reliability evaluation model for the water supply network after an earthquake. Combined with the Monte Carlo stochastic simulation hydraulic analysis, this model is also based on the pressure-driven nodes water demand model. In the case study, the surplus power entropy method was applied to test the reliability of the model. The statistical curves of the surplus power entropy of nodes and pipe networks, the distribution of the surplus power entropy with different intensities in pipe networks, and the comparison results of three reliability improvement schemes, before and after, were obtained. The influence factors of the surplus power entropy were obtained from the data analysis. The high consistency between the surplus power entropy and flow entropy verifies the feasibility of the surplus power entropy as a reliability index. The three schemes show that the surplus power entropy index can be used as a beneficial supplement to the reliability evaluation index of the pipe network.

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Paterson, Matthew. "Using Negotiation Sites for Richer Collection of Network Data." Global Environmental Politics 19, no. 2 (May 2019): 81–92. http://dx.doi.org/10.1162/glep_a_00504.

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Global environmental governance (GEG) is widely recognized as particularly networked. And negotiation sites are sites not only of formal decision-making processes but also of intense networking by various actors. Use of formal social network analysis to analyze both networked governance and governance networks in global environmental politics has to date mostly rested on relatively easy-to-get data, such as membership in formal organizations or treaties. These analyses give useful broad-brush analyses to help think about the social structure of environmental governance, but relatively limited inferences can be drawn about key processes that network analysis can help understand, such as learning, diffusion, and other forms of institutional interaction. This article proposes how to advance the value of the method in the field by focusing on the personal networks of actors who make up the decision-making processes in GEG. Negotiation sites could thus become important sites for collection of data about these networks, through direct observation of interactions, intensive short interviews, and surveys, in particular.

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Quintero-Cano, Liliana, Mohamed Wahba, and Tarek Sayed. "Bus networks as graphs: new connectivity indicators with operational characteristics." Canadian Journal of Civil Engineering 41, no. 9 (September 2014): 788–99. http://dx.doi.org/10.1139/cjce-2014-0054.

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A transit network, visualized as a graph, can be evaluated using indicators such as connectivity, coverage, directness, and complexity, among others, based on the relationships between network elements. This study focuses on the analysis of interconnected and operationally complicated bus networks, a shortcoming of existing approaches tailored to simpler, metro networks. A new procedure is proposed for drawing bus networks as graphs, by disaggregating them into sub-networks at the traffic analysis zone level. As well, improved network connectivity indicators are proposed which incorporate the influence of bus operational characteristics. The effect of bus route transfers is analyzed by introducing intermediate walking transfer edges. The contribution of this research will provide transit agencies with quantitative measures to analyze the network characteristics and the related operational attributes at a zonal sub-network level across the agency’s coverage area. The proposed methodology was demonstrated by applying it to the Greater Vancouver Regional District public transportation system.

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Zhang, Xu, and Bingzhi Chen. "Study on node importance evaluation of the high-speed passenger traffic complex network based on the Structural Hole Theory." Open Physics 15, no. 1 (March 1, 2017): 1–11. http://dx.doi.org/10.1515/phys-2017-0001.

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AbstractComplex Network Theory can analyze the reliability of high-speed passenger traffic networks and also evaluate node importance. This paper conducts a systematic and in-depth research of importance of various nodes in the high-speed passenger traffic network so as to improve the high-speed passenger traffic network level. To study importance of network nodes can contribute to an in-depth understanding of the network structure. Therefore, the complex network is introduced and the node importance is evaluated. The characteristics of the complex network are briefly analyzed. In order to study the high-speed passenger traffic nodes, the network restraint coefficient, the network scale, the efficiency, the grade level, the partial clustering coefficient of degree and structural hole. Besides, the algorithm to calculate node importance is designed. Through analysis of the high-speed passenger network, the accuracy and practicability of the Complex Network Theory in evaluating node importance are pointed out. It is also proved that Complex Network Theory can help optimize high-speed passenger traffic networks and improve traffic efficiency.

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Gao, Feng, Yuhao Hu, Guannan Liu, and Yugui Yang. "Experiment Study on Topological Characteristics of Sandstone Coating by Micro CT." Coatings 10, no. 12 (November 24, 2020): 1143. http://dx.doi.org/10.3390/coatings10121143.

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The pore structure is an important factor of tunnel coating failure, cracking and water leakage. Some investigations on the statistical law of pores and pore networks have been conducted, but little quantitative analysis is observed on topology structure of the pore network, and even the pore structure of sandstone is complex and cross-scale distributed. Therefore, it is of theoretical and engineering significance to quantitatively characterize the connectivity of the pore network in sandstone. This study proposes a new complex network theory to analyze the three-dimensional nature of pore network structure in sandstone. The topological network structure, such as clustering degree, average path length and the module, which cannot be analyzed by traditional coordination number and fractal dimension methods, is analyzed. Numerical simulation results show that a scale-free network model is more suitable for describing the sandstone pore network than random models. The pore network of sandstone has good uniformity. The connectivity of sandstone pore networks has great potential for permeability enhancement. Therefore, this new method provides a way to deeply understand the pore connectivity characteristics of sandstone and to explore the distribution of crack grids in the arch of tunnel coatings.

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Song, Chau Chung, Chen Fu Feng, Chieh Yao Lin, and Bo Hao Yan. "Analysis and Implementation of an Application-Layer Networking System on Wireless Sensor Network." Applied Mechanics and Materials 431 (October 2013): 318–24. http://dx.doi.org/10.4028/www.scientific.net/amm.431.318.

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In this paper, an application-layer networking system is analyzed and implemented for wireless sensor network. We focus on studying the binding connection methods on the applicationlayer network to implement the universal plug in/out capability on ZigBee networks. The proposed application-layer network provides a cluster-based and plug-and-play communication functions to dynamically and automatically connect in/out the ZigBee nodes on wireless sensor networks. Moreover, the network planning and connection mechanism is achieved by the Binding link objects of ZigBee application-layer functions. By means of Binding connection method, ZigBee nodes in sensor network can obtain the real-time messages and valid information each other. In this study, the various parameters setting and system firmware program are designed to analyze and evaluate the binding methods and data packets of application-layer communication for ZigBee network. Finally, the profile cluster IDs of application-layer network are applied to build up the specific ZigBee sensor systems with Cluster In/Out functions.

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Beranek, Ladislav, and Radim Remes. "Distribution of Node Characteristics in Evolving Tripartite Network." Entropy 22, no. 3 (February 25, 2020): 263. http://dx.doi.org/10.3390/e22030263.

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Many real-world networks have a natural tripartite structure. Investigating the structure and the behavior of actors in these networks is useful to gain a deeper understanding of their behavior and dynamics. In our paper, we describe an evolving tripartite network using a network model with preferential growth mechanisms and different rules for changing the strength of nodes and the weights of edges. We analyze the characteristics of the strength distribution and behavior of selected nodes and selected actors in this tripartite network. The distributions of these analyzed characteristics follow the power-law under different modeled conditions. Performed simulations have confirmed all these results. Despite its simplicity, the model expresses well the basic properties of the modeled network. It can provide further insights into the behavior of systems with more complex behaviors, such as the multi-actor e-commerce system that we have used as a real basis for the validation of our model.

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Alexis Fidele, Kagiraneza, Suryono, and Wahyul Amien Syafei. "Denial of Service (DoS) attack identification and analyse using sniffing technique in the network environment." E3S Web of Conferences 202 (2020): 15003. http://dx.doi.org/10.1051/e3sconf/202020215003.

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Network-based intruders such as (DoS) attacks have become one of the most significant internet interruptions. Some operations that rely on the internet, such as banking transactions, education, trade marketing, and social networking, have become the primary targets. The attacker is trying to surround and making it difficult for the system to defend. The research's objective is to recognize the characteristics and level of DoS attacks. In understanding the behavior of intruders against a target web server, Wireshark was used in all traffic networks—capturing the traffic in a networked environment. In this research, the user identifies the attack levels (TCP SYN, UDP, and HTTP protocol), ranging from low (Q1), medium (Q2), and high (Q4) attacks. The approach is to simulate the TCP, HTTP, and UDP flood attacks and analyze the attacks' effects on the network environment. In this work, normal scenarios and pattern attacks were compared. In this case, the intruder floods unwanted packets to the victim with a massive number of request packets; the SYN from the corresponding SYN-ACK replies are not achieved. This paper will identify the DoS attacks level and analyze the behavior of traffics.

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da Silva, M. R., Hongwu Ma, and An-Ping Zeng. "Centrality, Network Capacity, and Modularity as Parameters to Analyze the Core-Periphery Structure in Metabolic Networks." Proceedings of the IEEE 96, no. 8 (August 2008): 1411–20. http://dx.doi.org/10.1109/jproc.2008.925418.

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