Relevant bibliographies by topics / Network analyst

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Network analyst'

Author: Grafiati
Published: 4 June 2021
Last updated: 2 February 2022

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Journal articles on the topic "Network analyst"

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Dr. Naveen Jain. "Artificial Neural Network Models for Material Classification by Photon Scattering Analysis." International Journal of New Practices in Management and Engineering 9, no. 03 (September 30, 2020): 01–04. http://dx.doi.org/10.17762/ijnpme.v9i03.88.

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This article explains the risk factors involved in a business. In each type of business, there are certain risk factors for the implementation of anything in the business. The type of risks involved can depend upon many factors. It also depends on the type of business an organisation is doing. But it is very important that the risk analyst does all the analysis of the risks that might arise in future and must take necessary actions in order to avoid those risks. The risk analyst can also try to reduce the impact of the risks on the business. Therefore, it is very important that the risk analyst should have the knowledge of how to analyse risk and then can act upon them.
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Li, Zengquan, T. J. Wong, and Gwen Yu. "Information Dissemination through Embedded Financial Analysts: Evidence from China." Accounting Review 95, no. 2 (August 1, 2019): 257–81. http://dx.doi.org/10.2308/accr-52521.

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ABSTRACT When emerging market firms disclose relationship-based transactions, they face a trade-off in which greater transparency may help lower their cost of capital at the cost of revealing proprietary information. We find that firms overcome this challenge by relying on analysts within their private networks (i.e., connected analysts) who, through repeated interaction with the firm, can better verify relationship-based transactions. Using Chinese firms, we show that firms with more connected analysts have more accurate consensus forecasts and lower forecast dispersion. When a connected analyst departs and stops covering a firm, the accuracy and informativeness of the unconnected analysts' forecasts decrease, suggesting that information spills over from the connected analyst to analysts outside the network. We find a potential mechanism for this information spillover: communication through common institutional clients, which suggests that embedded financial analysts—those sharing close connections with firms and analysts—serve as a channel for disseminating proprietary, hard-to-verify information. JEL Classifications: G14; G15; M40; N25. Data Availability: Data are available from sources identified in the text.
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Johnson, Sean W., Derrick J. A. Chambers, Michael S. Boltz, and Keith D. Koper. "Application of a convolutional neural network for seismic phase picking of mining-induced seismicity." Geophysical Journal International 224, no. 1 (October 5, 2020): 230–40. http://dx.doi.org/10.1093/gji/ggaa449.

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SUMMARY Monitoring mining-induced seismicity (MIS) can help engineers understand the rock mass response to resource extraction. With a thorough understanding of ongoing geomechanical processes, engineers can operate mines, especially those mines with the propensity for rockbursting, more safely and efficiently. Unfortunately, processing MIS data usually requires significant effort from human analysts, which can result in substantial costs and time commitments. The problem is exacerbated for operations that produce copious amounts of MIS, such as mines with high-stress and/or extraction ratios. Recently, deep learning methods have shown the ability to significantly improve the quality of automated arrival-time picking on earthquake data recorded by regional seismic networks. However, relatively little has been published on applying these techniques to MIS. In this study, we compare the performance of a convolutional neural network (CNN) originally trained to pick arrival times on the Southern California Seismic Network (SCSN) to that of human analysts on coal-mine-related MIS. We perform comparisons on several coal-related MIS data sets recorded at various network scales, sampling rates and mines. We find that the Southern-California-trained CNN does not perform well on any of our data sets without retraining. However, applying the concept of transfer learning, we retrain the SCSN model with relatively little MIS data after which the CNN performs nearly as well as a human analyst. When retrained with data from a single analyst, the analyst-CNN pick time residual variance is lower than the variance observed between human analysts. We also compare the retrained CNN to a simpler, optimized picking algorithm, which falls short of the CNN's performance. We conclude that CNNs can achieve a significant improvement in automated phase picking although some data set-specific training will usually be required. Moreover, initializing training with weights found from other, even very different, data sets can greatly reduce the amount of training data required to achieve a given performance threshold.
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Höfer, Andreas, and Andreas Oehler. "Sell-side security analysts in the nexus of principal-agent relations: An information economics perspective." Corporate Ownership and Control 10, no. 2 (2013): 267–73. http://dx.doi.org/10.22495/cocv10i2c2art6.

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In this paper we investigate in depth the contractual partner relationships between sell-side security analysts and the correspondently involved parties, where the sell-side security analyst is considered as both principal and agent. We break the activities of security analysts down into a nexus of principal-agent relationships where the most striking contractual partner relationship in this network appears among sell-side analyst and the (to be) assessed company (evaluand). By analyzing the research question in this fashion we find considerable potential for information and moral hazard risks.
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Ramaiah, CH, D. Adithya Charan, and R. Syam Akhil. "Secure automated threat detection and prevention (SATDP)." International Journal of Engineering & Technology 7, no. 2.20 (April 18, 2018): 86. http://dx.doi.org/10.14419/ijet.v7i2.20.11760.

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Secure automated threat detection and prevention is the more effective procedure to reduce the workload of analyst by scanning the network, server functions& then informs the analyst if any suspicious activity is detected in the network. It monitors the system continuously and responds according to the threat environment. This response action varies from phase to phase. Here suspicious activities are detected by the help of an artificial intelligence which acts as a virtual analyst concurrently with network intrusion detection system to defend from the threat environment and taking appropriate measures with the permission of the analyst. In its final phase where packet analysis is carried out to surf for attack vectors and then categorize supervised and unsupervised data. Where the unsupervised data will be decoded or converted to supervised data with help of analyst feedback and then auto-update the algorithm (virtual analyst). So that it evolves the algorithm (with active learning mechanism) itself by time and become more efficient, strong. So, it can able to defend form similar or same kind of attacks.
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Nocke, T., S. Buschmann, J. F. Donges, N. Marwan, H. J. Schulz, and C. Tominski. "Review: visual analytics of climate networks." Nonlinear Processes in Geophysics 22, no. 5 (September 23, 2015): 545–70. http://dx.doi.org/10.5194/npg-22-545-2015.

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Abstract. Network analysis has become an important approach in studying complex spatiotemporal behaviour within geophysical observation and simulation data. This new field produces increasing numbers of large geo-referenced networks to be analysed. Particular focus lies currently on the network analysis of the complex statistical interrelationship structure within climatological fields. The standard procedure for such network analyses is the extraction of network measures in combination with static standard visualisation methods. Existing interactive visualisation methods and tools for geo-referenced network exploration are often either not known to the analyst or their potential is not fully exploited. To fill this gap, we illustrate how interactive visual analytics methods in combination with geovisualisation can be tailored for visual climate network investigation. Therefore, the paper provides a problem analysis relating the multiple visualisation challenges to a survey undertaken with network analysts from the research fields of climate and complex systems science. Then, as an overview for the interested practitioner, we review the state-of-the-art in climate network visualisation and provide an overview of existing tools. As a further contribution, we introduce the visual network analytics tools CGV and GTX, providing tailored solutions for climate network analysis, including alternative geographic projections, edge bundling, and 3-D network support. Using these tools, the paper illustrates the application potentials of visual analytics for climate networks based on several use cases including examples from global, regional, and multi-layered climate networks.
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Nocke, T., S. Buschmann, J. F. Donges, N. Marwan, H. J. Schulz, and C. Tominski. "Review: visual analytics of climate networks." Nonlinear Processes in Geophysics Discussions 2, no. 2 (April 30, 2015): 709–80. http://dx.doi.org/10.5194/npgd-2-709-2015.

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Abstract. Network analysis has become an important approach in studying complex spatiotemporal behaviour within geophysical observation and simulation data. This new field produces increasing amounts of large geo-referenced networks to be analysed. Particular focus lies currently on the network analysis of the complex statistical interrelationship structure within climatological fields. The standard procedure for such network analyses is the extraction of network measures in combination with static standard visualisation methods. Existing interactive visualisation methods and tools for geo-referenced network exploration are often either not known to the analyst or their potential is not fully exploited. To fill this gap, we illustrate how interactive visual analytics methods in combination with geovisualisation can be tailored for visual climate network investigation. Therefore, the paper provides a problem analysis, relating the multiple visualisation challenges with a survey undertaken with network analysts from the research fields of climate and complex systems science. Then, as an overview for the interested practitioner, we review the state-of-the-art in climate network visualisation and provide an overview of existing tools. As a further contribution, we introduce the visual network analytics tools CGV and GTX, providing tailored solutions for climate network analysis, including alternative geographic projections, edge bundling, and 3-D network support. Using these tools, the paper illustrates the application potentials of visual analytics for climate networks based on several use cases including examples from global, regional, and multi-layered climate networks.
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Marcet, Francisco. "Analyst coverage network and stock return comovement in emerging markets." Emerging Markets Review 32 (September 2017): 1–27. http://dx.doi.org/10.1016/j.ememar.2017.05.002.

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Javidi, Mohammad Masoud. "Network Attacks Detection by Hierarchical Neural Network." Computer Engineering and Applications Journal 4, no. 2 (June 18, 2015): 119–32. http://dx.doi.org/10.18495/comengapp.v4i2.108.

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Intrusion detection is an emerging area of research in the computer security and net-works with the growing usage of internet in everyday life. Most intrusion detection systems (IDSs) mostly use a single classifier algorithm to classify the network traffic data as normal behavior or anomalous. However, these single classifier systems fail to provide the best possible attack detection rate with low false alarm rate. In this paper,we propose to use a hybrid intelligent approach using a combination of classifiers in order to make the decision intelligently, so that the overall performance of the resul-tant model is enhanced. The general procedure in this is to follow the supervised or un-supervised data filtering with classifier or cluster first on the whole training dataset and then the output are applied to another classifier to classify the data. In this re- search, we applied Neural Network with Supervised and Unsupervised Learning in order to implement the intrusion detection system. Moreover, in this project, we used the method of Parallelization with real time application of the system processors to detect the systems intrusions.Using this method enhanced the speed of the intrusion detection. In order to train and test the neural network, NSLKDD database was used. Creating some different intrusion detection systems, each of which considered as a single agent, we precisely proceeded with the signature-based intrusion detection of the network.In the proposed design, the attacks have been classified into 4 groups and each group is detected by an Agent equipped with intrusion detection system (IDS).These agents act independently and report the intrusion or non-intrusion in the system; the results achieved by the agents will be studied in the Final Analyst and at last the analyst reports that whether there has been an intrusion in the system or not.Keywords: Intrusion Detection, Multi-layer Perceptron, False Positives, Signature- based intrusion detection, Decision tree, Nave Bayes Classifier
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Vieane, Alex, Gregory Funke, Vincent Mancuso, Eric Greenlee, Gregory Dye, Brett Borghetti, Brent Miller, Lauren Menke, and Rebecca Brown. "Coordinated Displays to Assist Cyber Defenders." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 60, no. 1 (September 2016): 344–48. http://dx.doi.org/10.1177/1541931213601078.

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Cyber network analysts must gather evidence from multiple sources and ultimately decide whether or not suspicious activity represents a threat to network security. Information relevant to this task is usually presented in an uncoordinated fashion, meaning analysts must manually correlate data across multiple databases. The current experiment examined whether analyst performance efficiency would be improved by coordinated displays, i.e., displays that automatically link relevant information across databases. We found that coordinated displays nearly doubled performance efficiency, in contrast to the standard uncoordinated displays, and coordinated displays resulted in a modest increase in threat detections. These results demonstrate that the benefits of coordinated displays are significant enough to recommend their inclusion in future cyber defense software.
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Dissertations / Theses on the topic "Network analyst"

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Nayati, Mohammed Abdul Khader. "School bus routing and scheduling using GIS." Thesis, University of Gävle, Department of Technology and Built Environment, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-547.

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School bus routing and scheduling are among the major problems because school bus transportation needs to be safe, reliable and efficient. Hence, the research question for this thesis is to answer how to transport students in the safest, most economical and convenient manner. The objective of this thesis is to create a GIS based school transport management system which helps in bus-stop allocation, design fastest and safest bus routes with AVL facility. This thesis also aims to investigate how a school transportation management system may improve the transportation security. The result from this study has helped to develop a school bus routing and scheduling prototype model for Sujatha High School, Hyderabad. This prototype model will help the school transportation management to design shortest and fastest school bus routes and they can also allocate bus stops, which will help them in selecting the pick-up stops for the students and staff, according to their concentration in the areas. This thesis has also, through literature study, investigated how a school transport management system can improve the transportation security. For the time being, there is a general belief that ICT contributes to improving the security, although a quantification of such improvements are lacking. The user interface application has been developed by using VBA and ArcGIS 9.1 Network Analyst provided by Environmental Science Research Institute and it has been evaluated by GIS users.

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Boström, Victor. "Lokaliseringsutredning av tankstationer med hjälp av GIS : En fallstudie av Luleå." Thesis, Luleå tekniska universitet, Arkitektur och vatten, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-63717.

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Sweden’s national goal to have all vehicles to be zero emission vehicles by year 2030 puts high demands on the infrastructure of alternative fuels. Most cities in developed countries already have a working infrastructure for conventional fuels that has been planned with regard to its unique conditions, such as traffic and population density. These conditions of a city are surely not going to change even if every car was replaced by a zero emission vehicle. Today’s infrastructure for conventional fuels is therefore suitable also for alternative fuels. Electric vehicles on the other hand takes much more time to reload than it takes to refuel a normal car, which makes service stations less suitable locations for charging them. Electric vehicles’ relatively short range (150-600 km) will most probably not affect how a city’s inhabitants move within the city. In this master thesis the existing infrastructure for both conventional and alternative fuels for public consumption is analyzed, with the purpose to improve its accessibility. The thesis is supposed to facilitate the Municipality of Luleå’s planning before establishing new service stations. The method results in a couple of proposed areas that would benefit the fuel accessibility the most, both to its citizens and to commuters of other cities. Keywords: fuel, gas station, Network Analyst
Sveriges mål om att alla fordon ska vara fossiloberoende år 2030 ställer höga krav på infrastrukturen för alternativa drivmedel. De flesta städer i utvecklade länder har redan en infrastruktur för konventionella drivmedel som är planerad utifrån stadens unika förutsättningar, så som trafik och invånartäthet. Dessa förutsättningar kan man med säkerhet anta kvarstår även om alla dagens bilar byttes ut mot fossiloberoende bilar. Dagens infrastruktur för konventionella drivmedel är därför även lämplig för alternativa drivmedel. Elbilar däremot tar mycket längre tid att ladda än det tar att tanka en vanlig bil, och därför är drivmedelsanläggningar inte den bäst lämpade platsen för laddningsstationer för elbilar. Elbilarnas förhållandevis korta räckvidd (150-600 km) kommer säkerligen inte att påverka hur en stads invånare rör sig genom staden. I det här examensarbetet analyseras den befintliga strukturen för både konventionella och alternativa drivmedel för publik konsumtion, med syftet att förbättra dess tillgänglighet. Arbetet ska underlätta för Luleå kommun i sitt planeringsarbete inför nya etableringar av drivmedelsanläggningar. Metoden leder till förslag på områden som bäst hade ökat tillgängligheten till drivmedel för både stadens invånare och pendlare från andra städer. Sökord: bensinstation, drivmedel, Network Analyst
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Cunningham, Eileen R. "An Evaluation of the Accessibility of the Public Transit Network to Commuting Patterns in the Greater Cincinnati Area." University of Cincinnati / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1250550537.

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Gillman, Malin. "Eco-route modelling using GIS : How to find the most sustainable route option." Thesis, Umeå universitet, Institutionen för geografi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-185860.

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In a time when the concept of sustainability is gaining increasing attention among the public, as well as among stake holders and policy makers, informing people about what the most sustainable choice to make is, is crucial in leading people in the right direction.  Travelling is an activity requiring a traveller to make multiple choices, with one of the choices being which route between two places to take. The transport sector is also a strong contributing cause to global issues such as climate change, wherefore choices made in relation to transportation are highly relevant in regard to sustainable development.  Up until today, most traffic information systems for passenger car users, only provide travellers with suggestions about the fastest, or the shortest, route option. This study aims at proposing a modelling structure using GIS software, that could also return the most sustainable route alternative.  The complexity of the many spatial impacts of road transportation is thoroughly discussed in the literature review, together with dilemmas regarding route choice behaviours. A proposed modelling structure is presented, with the structure also empirically being examined as a “proof of concept”. The empirical work takes place in the urban area of Hörnefors, Sweden, and findings confirm the applicability of the proposed workflow.  In the specific case of Hörnefors, three distinct route options are investigated, in relation to four sustainability impact variables. The variables investigated are fuel consumption, air pollution, noise, and safety. Results show that the, by far, longest route, is in fact returned as the most sustainable route option. The other two route options exhibit impacts of around double the amount of impacts yielded by the most sustainable one. The generalised sustainability cost is significantly mostly determined by the air pollution variable, due to its far-reaching spatial dispersion patterns yielding impacts even at long distances from a road.  The potential application of the inclusion of sustainability in traffic information systems are additionally reviewed, according to the behavioural mechanisms mentioned in the literature 4review. Estimations of in what contexts “most sustainable route” suggestions are potentially most likely to yield behavioural changes, are also made, and assessed. Conclusions suggest that an inclusion of “most sustainable route option” modelling into travel information systems, have the highest potential to affect route choices when the user is driving at locations previously unvisited, due to the inexistence of a status quo route in such contexts.
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Pasha, Imtiyaz. "Ambulance management system using GIS." Thesis, Linköping University, Department of Computer and Information Science, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-7058.

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For emergency service providers, giving their service in least time shows their best performance. Emergency hospitals will be at their best if the ambulance reaches the site in Golden hour where life of injured persons can be saved. Ambulance uses the road network to reach the accident site. Today there are many GIS based systems being developed for routing of ambulance using GPS and other real-time technologies. These systems are useful and play a major role in solving the routing problem. But now roads are so congested that it difficult for the Ambulance drivers to travel and reach the accident.

In this thesis present study area is studied and problems faced by emergency service providers on road network are identified. In this thesis GIS/GPS/GSM based prototype system has been developed for routing of ambulance on road network of Hyderabad city (AMS). This prototype is designed such that it finds the accident location on the road network and locates the nearest ambulance to incident site using the real-time technologies (GPS/GSM). AMS creates the fastest route from nearest ambulance to accident site, and from there to nearest hospital. Congestion on roads during peak hours is considered, and the fastest route on both major and minor roads is created.

In this thesis AMS user interface has been developed using VBA, ArcGIS (network analyst). This Ambulance management system has been developed using software engineering model rapid prototyping model and has been evaluated by GIS users

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Buonocore, Chiara. "Development of a model to choose the path of cyclists using GPS data collected via smartphone." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amslaurea.unibo.it/17199/.

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Nowadays it is impossible being indifferent to the improvement of the urbanization and the mobility and sustainable road infrastructures.It has to be taken into account the bike as a mode of transport for many reasons such as:reduction of pollution and the emissions,safety on the road,less space and healthy.Mostly in big cities,perhaps it is the fastest mode of transport because it's not subject to traffic and its bottlenecks that block the flow.The Netherlands is the most interested country to travel by bike.It's the place where there are more bikes than cars.In recent years the availability of GPS data has seen a marked improvement in terms of accuracy,continuity and quality of data,thanks to the spread of smartphones and applications for auto-location and navigation.The main advantage is to obtain information on the travel routes actually followed by a large sample of cyclists on the entire network, from their origin to their destination.When GPS tracks can be attributed to detailed transport networks, it is possible to evaluate the factors that users consider in the process of choosing a specific route.It's important to study the choice of the route that cyclists make for many reasons.The objective of this thesis is to examine the aspects that the cyclists taking into account when they choose a route instead of another one.We want to focus on the time travelled,considering the average speed per each link and its correspondent length,and the average waiting times at the intersections:how the time influences cyclists choice. This research will investigate which aspects of the bicycle infrastructures have greater or lesser repercussions on the path made by the cyclists and to model their route choices.It will explore the link between the routes chosen by the cyclists and some attributes of the transport network of the Netherlands.The chosen routes will be compare with the fastest and the shortest calculated thanks to the network analyst in ArcMap for each OD pair.
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Post, David L. "Network Management: Assessing Internet Network-Element Fault Status Using Neural Networks." Ohio : Ohio University, 2008. http://www.ohiolink.edu/etd/view.cgi?ohiou1220632155.

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Lim, Kok Seng. "Analysis of network management protocols in optical networks." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2004. http://library.nps.navy.mil/uhtbin/hyperion/04Mar%5FLim%5FK.pdf.

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Woodbury, Nathan Scott. "Network Reconstruction and Vulnerability Analysis of Financial Networks." BYU ScholarsArchive, 2017. https://scholarsarchive.byu.edu/etd/6370.

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Passive network reconstruction is the process of learning a structured (networked) representation of a dynamic system through the use of known information about the structure of the system as well as data collected by observing the inputs into a system along with the resultant outputs. This work demonstrates an improvement on an existing network reconstruction algorithm so that the algorithm is capable of consistently and perfectly reconstructing a network when system inputs and outputs are measured without error. This work then extends the improved network reconstruction algorithm so that it functions even in the presence of noise as well as the situation where inputs into the system are unknown. Furthermore, this work demonstrates the capability of the new extended algorithms by reconstructing financial networks from stock market data, and then performing an analysis to understand the vulnerabilities of the reconstructed network to destabilization through localized attacks. The creation of these improved and extended algorithms has opened many theoretical questions, paving the way for future research into network reconstruction.
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Silva, do Monte Lima Jennifer. "Performance analysis of network composition in ambient networks." Universidade Federal de Pernambuco, 2007. https://repositorio.ufpe.br/handle/123456789/2637.

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Made available in DSpace on 2014-06-12T15:59:50Z (GMT). No. of bitstreams: 2 arquivo5648_1.pdf: 4215564 bytes, checksum: a4f0b99c7dc76ce7283ee541003ccb8a (MD5) license.txt: 1748 bytes, checksum: 8a4605be74aa9ea9d79846c1fba20a33 (MD5) Previous issue date: 2007
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Atualmente, o compartilhamento de recursos e oferta de serviços entre redes são permitidos apenas através de intensa configuração manual e acordos prévios entre as redes envolvidas. Devido às diferentes tecnologias de acesso, à heterogeneidade dos dispositivos e dos serviços e a mobilidade dos usuários, o gerenciamento dos recursos se torna uma tarefa ainda mais complexa. As Redes de Ambiente surgem para permitir a cooperação instantânea e dinâmica de redes heterogêneas pertencentes a diferentes domínios administrativos e tecnológicos, através de um novo conceito chamado de Composição de Redes. A Composição permite a disponibilização de serviços e o compartilhamento de recursos entre redes, via Acordo de Composição. O desempenho da composição tem um fator crucial na viabilidade das Redes de Ambiente, devido à alta demanda por composição em uma interação de um usuário típico com a rede. Estas composições de redes mudam todo o cenário e trazem novas complicações para o processo tornando necessária a avaliação da estabilidade e da escalabilidade das mesmas. Diante da impossibilidade de testar tais conceitos de forma prática e real, optouse por fazê-lo através de simulação. Para atingir este objetivo foi especificado e implementado um simulador para Composições de Redes de Ambiente. Este simulador tem como objetivo principal avaliar o desempenho da composição mostrando que a mesma não representa um gargalo para a implantação das Redes de Ambiente
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Books on the topic "Network analyst"

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Ormsby, Tim. Extending ArcView GIS: Teach yourself to use ArcView GIS extensions : network analyst, spatial analyst, 3D analyst : self-study workbook for ArcView GIS users. Redlands, Calif: ESRI Press, 1999.

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UML for the IT business analyst: A practical guide to object-oriented requirements gathering. 2nd ed. Australia: Course Technology/Cengage Learning, 2010.

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Podeswa, Howard. UML for the IT business analyst: A practical guide to object-oriented requirements gathering. 2nd ed. Australia: Course Technology/Cengage Learning, 2010.

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Hodgson. Novell Netware protocol and network analysis. Manchester: University of Manchester, Department of Computer Science, 1996.

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Masys, Anthony J., ed. Networks and Network Analysis for Defence and Security. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04147-6.

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Disrupting criminal networks: Network analysis in crime prevention. Boulder: FirstForumPress, Inc., 2015.

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Chappell, Laura A. Novell's guide to LAN/WAN analysis: IPX/SPX. San Jose: Novell Press, 1998.

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Brandes, Ulrik, and Thomas Erlebach, eds. Network Analysis. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/b106453.

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Network flow analysis. San Francisco: No Starch Press, 2010.

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Jang, Ha-Yong. Cultural differences in organizational communication and interorganizational networks: A smantic network analysis. New York: State University of New York, 1995.

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Book chapters on the topic "Network analyst"

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Amaguaya, Freddy René Orozco, and Jesús Rafael Hechavarría Hernández. "Improvement of Public Transport Routes with ArcGIS Network Analyst. Case Study: Urban Center of Milagro, Ecuador." In Advances in Intelligent Systems and Computing, 31–36. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51566-9_5.

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Brandes, Ulrik, and Thomas Erlebach. "Introduction." In Network Analysis, 1–6. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-31955-9_1.

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Nunkesser, Marc, and Daniel Sawitzki. "Blockmodels." In Network Analysis, 253–92. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-31955-9_10.

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Brinkmeier, Michael, and Thomas Schank. "Network Statistics." In Network Analysis, 293–317. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-31955-9_11.

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Baur, Michael, and Marc Benkert. "Network Comparison." In Network Analysis, 318–40. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-31955-9_12.

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Baumann, Nadine, and Sebastian Stiller. "Network Models." In Network Analysis, 341–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-31955-9_13.

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Baltz, Andreas, and Lasse Kliemann. "Spectral Analysis." In Network Analysis, 373–416. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-31955-9_14.

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Klau, Gunnar W., and René Weiskircher. "Robustness and Resilience." In Network Analysis, 417–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-31955-9_15.

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Koschützki, Dirk, Katharina Anna Lehmann, Leon Peeters, Stefan Richter, Dagmar Tenfelde-Podehl, and Oliver Zlotowski. "Centrality Indices." In Network Analysis, 16–61. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-31955-9_3.

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Jacob, Riko, Dirk Koschützki, Katharina Anna Lehmann, Leon Peeters, and Dagmar Tenfelde-Podehl. "Algorithms for Centrality Indices." In Network Analysis, 62–82. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-31955-9_4.

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Conference papers on the topic "Network analyst"

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Dubey, Ajay Kumar, and Vimal Mishra. "Performance analysis of cloud applications using cloud analyst." In 2017 7th International Conference on Communication Systems and Network Technologies (CSNT). IEEE, 2017. http://dx.doi.org/10.1109/csnt.2017.8418515.

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Karadimas, N. V., M. Kolokathi, G. Defteraiou, and V. Loumos. "Municipal Waste Collection Of Large Items Optimized With ArcGis Network Analyst." In 21st Conference on Modelling and Simulation. ECMS, 2007. http://dx.doi.org/10.7148/2007-0080.

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Astor, Yackob, Asrie Purwandhari, and Krisna Reva Aprian. "Determination of Effective Routes for Tourism Mass Transportation in Bandung City using Network Analyst and GIS." In International Seminar of Science and Applied Technology (ISSAT 2020). Paris, France: Atlantis Press, 2020. http://dx.doi.org/10.2991/aer.k.201221.045.

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Titrik, Adam, Istvan Lakatos, and David Czegledi. "Saturation Optimization of Selective Waste Collection Vehicles Based on Real-Time Info-Communication System." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-46720.

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New technology trends are spreading in selective waste collection, which apply real-time based info-communication systems defining the saturation of the containers. Merely defining the routes to containers is not enough; saturation of the waste gathering vehicle should also be measured for optimization. In practice, the compression scale of homogenous recyclable waste types is different meaning that saturation optimization cannot be based on this value. This study aims to provide answers to the above-mentioned problem. In order to have an extended analysis the whole city traffic should be taken into account as waste collection traffic may be obstructed by traffic itself. The RPC (Route Planning Center) will apply optimal control for the entire traffic network, which is elaborated by a network analyst pre-calculating network state parameters. The extended approach is based on a determined complex road network modelling technique. Thus further research will be able to integrate the circumstances of the entire traffic network like the definition of traffic network dependent optimal trajectory in chapter 8.
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Mehdizadeh, Nasser S., Payam Sinaei, and Ali L. Nichkoohi. "Modeling Jones’ Reduced Chemical Mechanism of Methane Combustion With Artificial Neural Network." In ASME 2010 3rd Joint US-European Fluids Engineering Summer Meeting collocated with 8th International Conference on Nanochannels, Microchannels, and Minichannels. ASMEDC, 2010. http://dx.doi.org/10.1115/fedsm-icnmm2010-31186.

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The present work reports a way of using Artificial Neural Networks for modeling and integrating the governing chemical kinetics differential equations of Jones’ reduced chemical mechanism for methane combustion. The chemical mechanism is applicable to both diffusion and premixed laminar flames. A feed-forward multi-layer neural network is incorporated as neural network architecture. In order to find sets of input-output data, for adapting the neural network’s synaptic weights in the training phase, a thermochemical analysis is embedded to find the chemical species mole fractions. An analysis of computational performance along with a comparison between the neural network approach and other conventional methods, used to represent the chemistry, are presented and the ability of neural networks for representing a non-linear chemical system is illustrated.
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Melo, Renato Silva, and André Luís Vignatti. "Preprocessing Rules for Target Set Selection in Complex Networks." In Brazilian Workshop on Social Network Analysis and Mining. Sociedade Brasileira de Computação, 2020. http://dx.doi.org/10.5753/brasnam.2020.11167.

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In the Target Set Selection (TSS) problem, we want to find the minimum set of individuals in a network to spread information across the entire network. This problem is NP-hard, so find good strategies to deal with it, even for a particular case, is something of interest. We introduce preprocessing rules that allow reducing the size of the input without losing the optimality of the solution when the input graph is a complex network. Such type of network has a set of topological properties that commonly occurs in graphs that model real systems. We present computational experiments with real-world complex networks and synthetic power law graphs. Our strategies do particularly well on graphs with power law degree distribution, such as several real-world complex networks. Such rules provide a notable reduction in the size of the problem and, consequently, gains in scalability.
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Bursztyn, Victor S., Marcelo Granja Nunes, and Daniel R. Figueiredo. "How Congressmen Connect: Analyzing Voting and Donation Networks in the Brazilian Congress." In Brazilian Workshop on Social Network Analysis and Mining. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/brasnam.2016.6451.

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The goal of this work is to analyze two of the most central activities in the life of a congressman: raising funds and voting bills. We investigate the Brazilian Congress to shed light on the relationships between the donations received by congressmen elected in 2014 and their voting behaviors during the year of 2015. We merged publicly available data obtained from the Brazilian House of Representatives and the Superior Electoral Court (TSE) in order to create a tripartite network containing campaign donors, elected congressmen, and legal bills. Using this data, we create two projected networks having congressmen as nodes and links given as follows: 1) congressmen who received donations from the same donors (donation network); and 2) congressmen who voted in accordance to each other on legal bills (voting network). After characterizing these networks, we propose three fundamental questions on the behavior of congressmen that could benefit from the methods and concepts provided by Network Science. Finally, we analyze the results and compare them to general domain knowledge.
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Ashraf, Bilal, Farbod Zorriassatine, R. M. Parkin, and Joanne Coy. "A Novel Approach for Extracting Sensor Information From Different Industrial Networks for Internet Based Condition Monitoring Applications." In ASME 7th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2004. http://dx.doi.org/10.1115/esda2004-58369.

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Automated Condition Monitoring (ACM) has become a necessity for complex modern day systems. The advent and ever increasing popularity of Internet has given a new dimension to ACM. Many Internet Based Condition Monitoring (IBCM) solutions have since been implemented. There are many types of Industrial Networks that are used in the industry to implement ACM. The protocols and information sent through these networks are very different from one another. Sharing information between industrial networks and presenting it for consolidated monitoring can be a daunting task. This paper describes a novel way for extracting sensor information from different industrial networks into a single standard format using Extensible Markup Language (XML). Implementation of the solution with an Industrial Network, Controller Area Network (CAN), is also shown. The results demonstrate that by using this approach communication between automated systems and mechatronic devices will become more integrated, more efficient and less complex.
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Brandão, Michele A., Matheus A. Diniz, and Mirella M. Moro. "Using Topological Properties to Measure the Strength of Co-authorship Ties." In Brazilian Workshop on Social Network Analysis and Mining. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/brasnam.2016.6455.

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Studying the strength of ties in social networks allows to identify impact at micro-macro levels in the network, to analyze how distinct relationships play different roles, and so on. Indeed, the strength of ties has been investigated in many contexts with different goals. Here, we aim to address the problem of measuring ties strength in co-authorship social networks. Specifically, we present four case studies detailing problems with current metrics and propose a new one. Then, we build a co-authorship social network by using a real digital library and identify how the strength of ties relates to the quality of publication venues when measured by different topological properties. Our results show the best ranked venues have similar patterns of strength of co-authorship ties.
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Soares, Rafael Henrique Santos, Jorge H. C. Fernandes, and Ricardo Sampaio. "Formal Information Flows Among Top Authorities of the Brazilian Federal Government based on Co-word Analysis of Data Published in the Official Gazette." In Brazilian Workshop on Social Network Analysis and Mining. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/brasnam.2016.6450.

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This paper describes a methodology for modeling social networks of formal communications among top authorities of the Brazilian Federal Government grounded on data available in the government official gazette (Diário Oficial da União). The text of a large number of official publications such as presidential decrees, ministerial orders and authority nominations was analyzed for identification of citations to organizations and persons. The co-occurrence of names of persons in such publications created a network of relations among such persons. An ego-network was built around the president Dilma Rousseff. Metrics of social network analysis were collected and analyzed in an exploratory fashion.
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Reports on the topic "Network analyst"

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Hossain, Niamat Ullah Ibne, Raed Jaradat, Seyedmohsen Hosseini, Mohammad Marufuzzaman, and Randy Buchanan. A framework for modeling and assessing system resilience using a Bayesian network : a case study of an interdependent electrical infrastructure systems. Engineer Research and Development Center (U.S.), April 2021. http://dx.doi.org/10.21079/11681/40299.

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This research utilizes Bayesian network to address a range of possible risks to the electrical power system and its interdependent networks (EIN) and offers possible options to mitigate the consequences of a disruption. The interdependent electrical infrastructure system in Washington, D.C. is used as a case study to quantify the resilience using the Bayesian network. Quantification of resilience is further analyzed based on different types of analysis such as forward propagation, backward propagation, sensitivity analysis, and information theory. The general insight drawn from these analyses indicate that reliability, backup power source, and resource restoration are the prime factors contributed towards enhancing the resilience of an interdependent electrical infrastructure system.
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Kalb, Jeffrey L., and David S. Lee. Network topology analysis. Office of Scientific and Technical Information (OSTI), January 2008. http://dx.doi.org/10.2172/1028919.

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Leoni, Paolo. Techno-economic comparison of the collected examples. IEA SHC Task 55, November 2020. http://dx.doi.org/10.18777/ieashc-task55-2020-0012.

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Subtask A “Network analysis and integration” focuses on the overall aspects of district heating and cooling networks with integrated solar thermal (ST) technologies. Particularly important are the cases in which the solar share is such to significantly influence the operation of the network and the other heat/cold supply units. In the present factsheet, the best-practice examples collected in the factsheet A-D1.1 are analyzed and compared.
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R.T. Rosche. IDCS NETWORK ALTERNATIVES ANALYSIS. Office of Scientific and Technical Information (OSTI), February 1995. http://dx.doi.org/10.2172/883443.

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Meyer, Robert A., and David A. Perreault. Communication Network Software Analysis. Fort Belvoir, VA: Defense Technical Information Center, June 1994. http://dx.doi.org/10.21236/ada281019.

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Rouil, Richard, Antonio Izquierdo, Camillo Gentile, David Griffith, and Nada Golmie. Nationwide Public Safety Broadband Network Deployment: Network Parameter Sensitivity Analysis. National Institute of Standards and Technology, February 2015. http://dx.doi.org/10.6028/nist.ir.8039.

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Christie, Alan M. Network Survivability Analysis Using Easel. Fort Belvoir, VA: Defense Technical Information Center, December 2002. http://dx.doi.org/10.21236/ada413664.

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Lee, Hyun-Jung, HyunJu Shin, Kyu-Hye Lee, Seulah Lee, and Ye-Jin In. Semantic Network Analysis of Gorpcore. Ames (Iowa): Iowa State University. Library, January 2019. http://dx.doi.org/10.31274/itaa.8218.

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Johannes, James D., Tim Lewis, Kyle Hoover, Andrew Fanning, and Chad Williams. Computer Network Analysis and Implementation. Fort Belvoir, VA: Defense Technical Information Center, October 1998. http://dx.doi.org/10.21236/ada391962.

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Powell, Bruce C. Artificial Neural Network Analysis System. Fort Belvoir, VA: Defense Technical Information Center, February 2001. http://dx.doi.org/10.21236/ada392390.

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