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Littérature scientifique sur le sujet « Network measures »

Auteur : Grafiati
Publié le 9 mars 2023
Mis à jour le 27 juillet 2025

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Articles de revues sur le sujet "Network measures"

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Xu, Zhen-Peng, Julio I. de Vicente, Liang-Liang Sun, and Sixia Yu. "Quantum network-entanglement measures." Quantum 9 (May 6, 2025): 1736. https://doi.org/10.22331/q-2025-05-06-1736.

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Quantum networks are of high interest nowadays and a quantum internet has been long envisioned. Network-entanglement adapts the notion of entanglement to the network scenario and network-entangled states are considered to be a resource to overcome the limitations of a given network structure. In this work, we introduce measures of quantum network-entanglement that are well-defined within the general framework of quantum resource theories, which at the same time have a clear operational interpretation characterizing the extra resources necessary to prepare a targeted quantum state within a give
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Kincaid, Rex K., and David J. Phillips. "Network topology measures." Wiley Interdisciplinary Reviews: Computational Statistics 3, no. 6 (2011): 557–65. http://dx.doi.org/10.1002/wics.180.

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Zhang, Wen Jie. "Network Security Vulnerabilities and Preventive Measures." Applied Mechanics and Materials 433-435 (October 2013): 1674–78. http://dx.doi.org/10.4028/www.scientific.net/amm.433-435.1674.

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As the arrival times network economy and social networks, computers and computer networks popularity indicates that a ubiquitous network will go into not the state. As the use of network and the virus has become increasingly serious, virus writers from the original to show off to obtain invalid income, the resulting harm is incalculable. This situation not only jeopardize the current development of the Internet but also undermined the reality of social stability and unity, therefore, this paper is on how the network vulnerabilities, how to survive and how to protection, so that there are looph
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Aytaç, Aysun, and Tufan Turaci. "Vulnerability Measures of Transformation Graph Gxy+." International Journal of Foundations of Computer Science 26, no. 06 (2015): 667–75. http://dx.doi.org/10.1142/s0129054115500379.

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Several factors have to be taken into account in the design of large interconnection networks. Optimal design is important both to achieve good performance and to reduce the cost of construction and maintenance. Practical communication networks are exposed to failures of network components. Failures between nodes and connections happen and it is desirable that a network is robust in the sense that a limited number of failures does not break down the whole system. Robustness of the network topology is a key aspect in the design of computer networks. A variety of measures have been proposed in t
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Boehmke, Frederick J., Olga Chyzh, and Cameron G. Thies. "Addressing Endogeneity in Actor-Specific Network Measures." Political Science Research and Methods 4, no. 1 (2015): 123–49. http://dx.doi.org/10.1017/psrm.2015.34.

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The study of international relations (IR), and political science more broadly, has derived great benefits from the recent growth of conceptualizing and modeling political phenomena within their broader network contexts. More than just a novel approach to evaluating old puzzles, network analysis provides a whole new way of theoretical thinking. Challenging the traditional dyad-driven approach to the study of IR, networks highlight actor interdependence that goes beyond dyads and emphasizes that many traditional IR variables, such as conflict, trade, alliances, or international organization memb
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Lordan, Oriol, and Jose M. Sallan. "Dynamic measures for transportation networks." PLOS ONE 15, no. 12 (2020): e0242875. http://dx.doi.org/10.1371/journal.pone.0242875.

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Most complex network analyses of transportation systems use simplified static representations obtained from existing connections in a time horizon. In static representations, travel times, waiting times and compatibility of schedules are neglected, thus losing relevant information. To obtain a more accurate description of transportation networks, we use a dynamic representation that considers synced paths and that includes waiting times to compute shortest paths. We use the shortest paths to define dynamic network, node and edge measures to analyse the topology of transportation networks, comp
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Bibi, Fizza, Hikmat Khan, Tassawar Iqbal, Muhammad Farooq, Irfan Mehmood, and Yunyoung Nam. "Ranking Authors in an Academic Network Using Social Network Measures." Applied Sciences 8, no. 10 (2018): 1824. http://dx.doi.org/10.3390/app8101824.

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Online social networks are widely used platforms that enable people to connect with each other. These social media channels provide an active communication platform for people, and they have opened new venues of research for the academic world and business. One of these research areas is measuring the influential users in online social networks; and the same is true for academic networks where finding influential authors is an area of interest. In an academic network, citation count, h-index and their variations are used to find top authors. In this article, we propose the adoption of establis
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Kansky, Karl, and Pascal Danscoine. "Measures of network structure." Flux 5, no. 1 (1989): 89–121. http://dx.doi.org/10.3406/flux.1989.913.

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Banisch, Ralf, Péter Koltai, and Kathrin Padberg-Gehle. "Network measures of mixing." Chaos: An Interdisciplinary Journal of Nonlinear Science 29, no. 6 (2019): 063125. http://dx.doi.org/10.1063/1.5087632.

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Li, Yan. "Network Security Protection Measures." Advanced Materials Research 971-973 (June 2014): 1659–62. http://dx.doi.org/10.4028/www.scientific.net/amr.971-973.1659.

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Safety is the premise of network operation, network security is not only a single point of security, but the safety of the information network, need to be done from various solid protection. Analyzed the current form and face all kinds of LAN network security threats and network security precautions, technology, this paper expounds the LAN the importance of the current network security in our lives.
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Thèses sur le sujet "Network measures"

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Traore, Abdoulaye S. "Mixed Network Interference Management with Multi-Distortion Measures." International Foundation for Telemetering, 2010. http://hdl.handle.net/10150/604294.

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ITC/USA 2010 Conference Proceedings / The Forty-Sixth Annual International Telemetering Conference and Technical Exhibition / October 25-28, 2010 / Town and Country Resort & Convention Center, San Diego, California<br>This paper presents a methodology for the management of interference and spectrum for iNET. It anticipates a need for heavily loaded test environments with Test Articles (TAs) operating over the horizon. In such cases, it is anticipated that fixed and ad hoc networks will be employed, and where spectrum reuse and interference will limit performance. The methodology presented here
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Grando, Felipe. "Methods for the approximation of network centrality measures." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2018. http://hdl.handle.net/10183/186166.

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Medidas de centralidades são um mecanismo importante para revelar informações vitais sobre redes complexas. No entanto, essas métricas exigem um alto custo computacional que prejudica a sua aplicação em grandes redes do mundo real. Em nosso estudo propomos e explicamos que através do uso de redes neurais artificiais podemos aplicar essas métricas em redes de tamanho arbitrário. Além disso, identificamos a melhor configuração e metodologia para otimizar a acurácia do aprendizado neural, além de apresentar uma maneira fácil de obter e gerar um número suficiente de dados de treinamento substancia
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Pellegrinet, Sarah <1988&gt. "Systemic Risk Measures and Connectedness: a network approach." Master's Degree Thesis, Università Ca' Foscari Venezia, 2015. http://hdl.handle.net/10579/6009.

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The main objective of the thesis is the construction of a systemic risk indicator based on the dispersion of the risk measures of the individual institutions of the system. The thesis presents a brief introduction to the literature on systemic risk measures, focusing on the Marginal Expected Shortfall (MES) and the delta CoVaR, which consider not only the yield of an individual firm, but also the effect of its performance on the whole system, and on the connectedness measure between the financial institutions, which measures the relationship between the institutions. We apply the systemic risk
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Benbrook, Jimmie Glen 1943. "A SYSTEM ANALYSIS OF A MULTILEVEL SECURE LOCAL AREA NETWORK (COMPUTER)." Thesis, The University of Arizona, 1986. http://hdl.handle.net/10150/275531.

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Kim, Hyoungshick. "Complex network analysis for secure and robust communications." Thesis, University of Cambridge, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.610134.

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Fu, Zehua. "Confidence measures in deep neural network based stereo matching." Thesis, Lyon, 2020. http://www.theses.fr/2020LYSEC014.

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Malgré des décennies d’amélioration depuis la première proposition de Barnard et Fischler, les approches d’appariement stéréo souffrent encore d’imprécision, notamment en présence d’occlusion, des conditions d’éclairage extrêmes et d’ambiguïté. Pour pallier ces imprécisions, de nombreuses méthodes, appelées mesures de confiance, ont été proposées permettant d’évaluer l’exactitude des appariements. Dans cette thèse, nous étudions les mesures de confiance de l’état de l’art et proposons deux mesures, à bases de réseaux neurones et d’apprentissage profond, permettant d’améliorer les performances
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Olsson, Eric J. "Literature survey on network concepts and measures to support research in network-centric operations." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2003. http://library.nps.navy.mil/uhtbin/hyperion-image/03Jun%5FOlsson.pdf.

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Fuloria, Shailendra. "Robust security for the electricity network." Thesis, University of Cambridge, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.610100.

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Woldearegay, Yonas, and Oumar Traore. "Optimization of Nodes in Mixed Network Using Three Distance Measures." International Foundation for Telemetering, 2011. http://hdl.handle.net/10150/595764.

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ITC/USA 2011 Conference Proceedings / The Forty-Seventh Annual International Telemetering Conference and Technical Exhibition / October 24-27, 2011 / Bally's Las Vegas, Las Vegas, Nevada<br>This paper presents a method for the management of mixed networks as envisioned in future iNET applications and develops a scheme for global optimal performance for features that include signal to Noise Ratio (SNR), Quality of service (QoS), and Interference. This scheme demonstrates potential for significant enhancement of performance for dense traffic environments envisioned in future telemetry applicatio
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Mooi, Roderick David. "A model for security incident response in the South African National Research and Education network." Thesis, Nelson Mandela Metropolitan University, 2014. http://hdl.handle.net/10948/d1017598.

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This dissertation addresses the problem of a lack of a formal incident response capability in the South African National Research and Education Network (SA NREN). While investigating alternatives it was found that no clear method exists to solve this problem. Therefore, a second problem is identified: the lack of a definitive method for establishing a Computer Security Incident Response Team (CSIRT) or Computer Emergency Response Team (CERT) in general. Solving the second problem is important as we then have a means of knowing how to start when building a CSIRT. This will set the basis for add
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Livres sur le sujet "Network measures"

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Hunt, Craig. Network Security. O’Reilly Media, 1998.

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John, Mallery, ed. Hardening network security. McGraw-Hill/Osborne, 2005.

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Teumim, David J. Industrial network security. 2nd ed. ISA, 2010.

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Christmas, Paul. Network security manager. Elsevier Advanced Technology, 1992.

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Judy, Novak, ed. Network intrusion detection. 3rd ed. New Riders Pub., 2002.

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Horton, Mike. Network security portable reference. McGraw-Hill, 2003.

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Russ, Rogers, Criscuolo Paul, and Petruzzi Mike, eds. Nessus network auditing. 2nd ed. Syngress, 2008.

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Vacca, John R. Network and system security. Syngress/Elsevier, 2010.

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Javier, López, and Zhou Jianying, eds. Wireless sensor network security. IOS Press, 2008.

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Thomas, Thomas M. Network security first-step. 2nd ed. Cisco Press, 2012.

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Chapitres de livres sur le sujet "Network measures"

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Horvath, Steve. "Association Measures and Statistical Significance Measures." In Weighted Network Analysis. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-8819-5_10.

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Zweig, Katharina A. "Classic Network Analytic Measures." In Lecture Notes in Social Networks. Springer Vienna, 2016. http://dx.doi.org/10.1007/978-3-7091-0741-6_4.

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Pillai, Sanjaikanth E. Vadakkethil Somanatha, and Geeta Sandeep Nadella. "Exploring Network Privacy Measures in Mobile Networks." In Communications in Computer and Information Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-71729-1_16.

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Aleskerov, Fuad, Sergey Shvydun, and Natalia Meshcheryakova. "Centrality Indices in Network Analysis." In New Centrality Measures in Networks. Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9781003203421-1.

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Miyazaki, Syuji. "Gibbs measures for the network." In Emergent Intelligence of Networked Agents. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-71075-2_10.

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Al-khateeb, Samer, and Nitin Agarwal. "Social Network Measures and Analysis." In SpringerBriefs in Cybersecurity. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-13690-1_2.

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He, Baozhu, and Zhen He. "Centrality Measures in Telecommunication Network." In Advanced Research on Electronic Commerce, Web Application, and Communication. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20370-1_55.

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Zweig, Katharina A. "Understanding and Designing Network Measures." In Lecture Notes in Social Networks. Springer Vienna, 2016. http://dx.doi.org/10.1007/978-3-7091-0741-6_8.

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Mulekar, Madhuri S., and C. Scott Brown. "Distance and Similarity Measures." In Encyclopedia of Social Network Analysis and Mining. Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4614-7163-9_141-1.

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Mulekar, Madhuri S., and C. Scott Brown. "Distance and Similarity Measures." In Encyclopedia of Social Network Analysis and Mining. Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4614-6170-8_141.

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Actes de conférences sur le sujet "Network measures"

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Qin, Qiu, Xu Sijia, Liu Shenglan, Xu Tianni, and Zhao Bei. "Network Virtualization Security: Threats, Measures, and Use Cases." In 2024 ITU Kaleidoscope: Innovation and Digital Transformation for a Sustainable World (ITU K). IEEE, 2024. https://doi.org/10.23919/ituk62727.2024.10772977.

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Uzair, Muhammad, Husnain Mushtaq, Zafran Waheed, Irshad Ullah, and Adeel Ahmed Abbasi. "Comprehensive Analysis of Computer Network Threats and Security Measures." In 2024 IEEE International Conference on High Performance Computing and Communications (HPCC). IEEE, 2024. https://doi.org/10.1109/hpcc64274.2024.00249.

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Thotakura, Yaswanth Chowdary, Kalyan Kumar Doppalapudi, Srinivas Reddy Gopavarapu, Geetha Siva Srinivas Gollapalli, and Jaya Lakshmi Tangirala. "Community Detection and Centrality Measures in Alzheimer’s Disease Network Analysis." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2024. http://dx.doi.org/10.1109/icccnt61001.2024.10725627.

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Vij, Abhinav, Hai-Anh Tran, and Truong X. Tran. "Trustable Network Intrusion Detection System through Wisdomnet and Uncertainty Measures." In 2024 IEEE 49th Conference on Local Computer Networks (LCN). IEEE, 2024. http://dx.doi.org/10.1109/lcn60385.2024.10639737.

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Singh, Gurpreet, Srinath Balaji, Jami J. Shah, et al. "Evaluation of Network Measures as Complexity Metrics." In ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/detc2012-70483.

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Modern automotive and aerospace products are large cyber-physical system consisting of software, mechanical, electrical and electronic components. The increasing complexity of such systems is a major concern as it impacts development time and effort, as well as, initial and operational costs. Although much literature exists on complexity metrics, very little work has been done in determining if metrics correlate with real world products. Aspects of complexity include the product structure, development process and manufacturing. Since all these aspects can be uniformly represented in the form o
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Zheng, Xiaoxia. "Computer network security and measures." In Mechanical Engineering and Information Technology (EMEIT). IEEE, 2011. http://dx.doi.org/10.1109/emeit.2011.6023622.

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Hou, Lvlin, Gang Liu, Songyang Lao, and Liang Bai. "Measures of network topology invulnerability." In 2012 2nd International Conference on Applied Robotics for the Power Industry (CARPI 2012). IEEE, 2012. http://dx.doi.org/10.1109/carpi.2012.6356504.

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Rheinwalt, Aljoscha, Norbert Marwan, Jurgen Kurths, Peter Werner, and Friedrich-Wilhelm Gerstengarbe. "Boundary Effects in Network Measures of Spatially Embedded Networks." In 2012 SC Companion: High Performance Computing, Networking, Storage and Analysis (SCC). IEEE, 2012. http://dx.doi.org/10.1109/sc.companion.2012.72.

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Scellato, Salvatore, Ilias Leontiadis, Cecilia Mascolo, Prithwish Basu, and Murtaza Zafer. "Understanding robustness of mobile networks through temporal network measures." In IEEE INFOCOM 2011 - IEEE Conference on Computer Communications. IEEE, 2011. http://dx.doi.org/10.1109/infcom.2011.5935006.

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Carneiro, Murillo G., Barbara C. Gama, and Otavio S. Ribeiro. "Complex Network Measures for Data Classification." In 2021 International Joint Conference on Neural Networks (IJCNN). IEEE, 2021. http://dx.doi.org/10.1109/ijcnn52387.2021.9533608.

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Rapports d'organisations sur le sujet "Network measures"

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Young, Stanley, and Dennis So Ting Fong. Arterial Network Performance Measures Software. Purdue University, 2017. http://dx.doi.org/10.5703/1288284316570.

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Frantz, Terrill L., and Kathleen M. Carley. Relating Network Topology to the Robustness of Centrality Measures. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada456108.

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Young, Stanley, Christopher Day, and Dennis So Ting Fong. Network Performance Measures for Arterials—A Systematic Level Perspective. Purdue University, 2017. http://dx.doi.org/10.5703/1288284316561.

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Price, Larry. Network Psychometrics: From Theory to Practice. Instats Inc., 2024. http://dx.doi.org/10.61700/z6oca2osqvdkq1597.

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This four-day workshop introduces participants to network psychometrics, a novel approach to understanding psychological constructs through network models. Attendees will learn to construct, analyze, and interpret psychological networks using R, gaining skills in network estimation, centrality measures, community detection, and more, with practical applications in various research fields.
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Duvvuri, Sarvani, and Srinivas S. Pulugurtha. Researching Relationships between Truck Travel Time Performance Measures and On-Network and Off-Network Characteristics. Mineta Transportation Institute, 2021. http://dx.doi.org/10.31979/mti.2021.1946.

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Trucks serve significant amount of freight tonnage and are more susceptible to complex interactions with other vehicles in a traffic stream. While traffic congestion continues to be a significant ‘highway’ problem, delays in truck travel result in loss of revenue to the trucking companies. There is a significant research on the traffic congestion mitigation, but a very few studies focused on data exclusive to trucks. This research is aimed at a regional-level analysis of truck travel time data to identify roads for improving mobility and reducing congestion for truck traffic. The objectives of
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Balza, Lenin H., Camilo De Los Rios, Alfredo Guerra, Luis Herrera-Prada, and Osmel Manzano. Unraveling the Network of the Extractive Industries. Inter-American Development Bank, 2021. http://dx.doi.org/10.18235/0003191.

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This paper analyzes extractive industries in Colombia and their connections to other economic activities in the country. We use detailed social security data on all formal employees to create an industry-relatedness measure using labor flows between industries. Drawing on the vast network analysis literature, we exploit centrality measures to reveal the importance of the extractive sector among Colombian industries. Our results show that extractive industries are well connected within the Colombian industrial network, and that they are central overall and within their clusters. We also find th
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Fernandez, Jasmine, Michaela Bonnett, Teri Garstka, and Meaghan Kennedy. Exploring Social Care Network Structures. Orange Sparkle Ball, 2024. http://dx.doi.org/10.61152/hdnz4028https://www.orangesparkleball.com/innovation-library-blog/2024/5/30/sunbelt2024-exploring-social-care-network-structures.

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This research is grounded in the theory that scale-free networks form between many organizations in a community when coordinating social care services and influential hubs in the network emerge (Barabási &amp; Réka, 1999).We explore the variability in the structures of social care networks, focusing on how the diverse needs of community members and the array of providers influence these structures. We posit that the architecture of these networks may hold the key to discerning patterns in community health and social outcomes. Our study examines the resilience of social care networks, defining
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Fernandez, Jasmine, Michaela Bonnett, Teri Garstka, and Meaghan Kennedy. Exploring Social Care Network Structures. Orange Sparkle Ball, 2024. http://dx.doi.org/10.61152/hdnz4028.

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This research is grounded in the theory that scale-free networks form between many organizations in a community when coordinating social care services and influential hubs in the network emerge (Barabási &amp; Réka, 1999).We explore the variability in the structures of social care networks, focusing on how the diverse needs of community members and the array of providers influence these structures. We posit that the architecture of these networks may hold the key to discerning patterns in community health and social outcomes. Our study examines the resilience of social care networks, defining
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Martínez-Ventura, Constanza, Jorge Ricardo Mariño-Martínez, and Javier Iván Miguélez-Márquez. Redundancy of Centrality Measures in Financial Market Infrastructures. Banco de la República de Colombia, 2022. http://dx.doi.org/10.32468/be.1206.

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The concept of centrality has been widely used to monitor systems with a network structure because it allows identifying their most influential participants. But this monitoring task can be difficult if the number of system participants is considerably large or if the wide variety of centrality measures currently available produce non-coincident (or mixed) signals. This document uses principal component analysis to evaluate a set of centrality measures calculated for the financial institutions that participate in four financial market infrastructures of Colombia. The results obtained are used
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Ouyang, Hong, Jing Yang, Qiu Feng, Jiali Huang, and Yifan Yin. Effects of different treatment measures on the efficacy of diabetic foot ulcers：A network meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2024. http://dx.doi.org/10.37766/inplasy2024.2.0068.

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