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1

Kukushkin, Aleksandr. System analysis in management. INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1900559.

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The textbook outlines the basic concepts, principles and structure of system analysis that are invariant to the fields of application. Models and fundamentals of evaluation of complex systems are considered. The general provisions on the basics of management, models of basic functions of organizational and technical management, approaches to assessing the quality of management are described. The manual includes a chapter that displays modern concepts of organizational management: strategic, project, situational, process, network-centric. An idea of the content and basic cycle of information and analytical activities is given.
 Meets the requirements of the federal state educational standards of higher education of the latest generation.
 For students of higher educational institutions studying in the field of Computer Science and Computer Engineering.
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2

Østerbø, Olav. Mathematical modelling and analysis of communication networks: Transient characteristics of traffic processes and models for end-to-end delay and delay-jitter. NTNU, 2003.

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3

Ezz-Eldin, Rabab, Magdy Ali El-Moursy, and Hesham F. A. Hamed. Analysis and Design of Networks-on-Chip Under High Process Variation. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25766-2.

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4

Ogras, Umit Y. Modeling, Analysis and Optimization of Network-on-Chip Communication Architectures. Springer Netherlands, 2013.

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5

1967-, Song Sŏng-su, ред. Sin kisul ŭi sahoe yullijŏk nonjaeng e kwanhan chŏngchʻaek netʻŭwŏkʻŭ punsŏk: Saengmyŏng yulli wa intʻŏnet naeyong kyuje ŭi ippŏp kwajŏng ŭl chungsim ŭro = Policy network analysis of social and ethical debates on new technologies : focusing on the legislation process of bio-ethics and internet contents regulation. Kwahak Kisul Chŏngchʻaek Yŏnʼguwŏn, 2003.

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6

Lee, Te-Won. Independent component analysis: Theory and applications. Kluwer Academic Publishers, 1998.

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7

Liu, Jinkun. Radial Basis Function (RBF) Neural Network Control for Mechanical Systems: Design, Analysis and Matlab Simulation. Springer Berlin Heidelberg, 2013.

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8

Haas, Marita. The Formation Process of SME Networks: A comparative case analysis of social processes in Austria, Belgium and Turkey. Deutscher Universitäts-Verlag | GWV Fachverlage GmbH, Wiesbaden, 2007.

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9

Kjaerulff, Uffe B. Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis. 2nd ed. Springer New York, 2013.

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10

Donna, Farley, ed. Assessment of the AHRQ patient safety initiative: Focus on implementation and dissemination evaluation report III (2004-2005). RAND Corp., 2007.

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11

Odvina, Cesar A. An analysis of the initial decision process of organizing the Navy Medical Department's Executive Management Education module conversion to network-based instruction. Naval Postgraduate School, 1998.

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12

Donna, Farley, Rand Corporation, and United States. Agency for Healthcare Research and Quality., eds. Assessment of the AHRQ patient safety initiative: Moving from research to practice evaluation report II (2003-2004). RAND Corp., 2007.

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13

Desideri, Umberto, Giampaolo Manfrida, and Enrico Sciubba, eds. ECOS 2012. Firenze University Press, 2012. http://dx.doi.org/10.36253/978-88-6655-322-9.

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The 8-volume set contains the Proceedings of the 25th ECOS 2012 International Conference, Perugia, Italy, June 26th to June 29th, 2012. ECOS is an acronym for Efficiency, Cost, Optimization and Simulation (of energy conversion systems and processes), summarizing the topics covered in ECOS: Thermodynamics, Heat and Mass Transfer, Exergy and Second Law Analysis, Process Integration and Heat Exchanger Networks, Fluid Dynamics and Power Plant Components, Fuel Cells, Simulation of Energy Conversion Systems, Renewable Energies, Thermo-Economic Analysis and Optimisation, Combustion, Chemical Reactors, Carbon Capture and Sequestration, Building/Urban/Complex Energy Systems, Water Desalination and Use of Water Resources, Energy Systems- Environmental and Sustainability Issues, System Operation/ Control/Diagnosis and Prognosis, Industrial Ecology.
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14

Bulgakova, Irina, Yuliya Vertakova, Ol'ga Medvedeva, Sergey Medvedev, and Galina Chernyshova. Models and methods of system analysis in operations research. INFRA-M Academic Publishing LLC., 2024. https://doi.org/10.12737/2049708.

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The textbook discusses models and methods of operations research as applied methods for the study of socio-economic processes and phenomena. These methods include those that use the apparatus of mathematical programming, schedule theory, inventory management theory, game theory, etc. The authors consider general issues of system modeling, cite the mathematical apparatus of operations research (linear programming, simplex method, integer linear programming, network models, game theory, etc.), show the areas of practical application of methods of operations research using illustrative examples. The main theoretical material is accompanied by tasks for independent work, which contributes to a faster and deeper study of problem solving methods. Meets the requirements of the federal state educational standards of higher education of the latest generation. It is intended for students studying in the fields of "Applied Mathematics and Computer Science", "Business Informatics", "Management", "Economics", whose curricula include the disciplines "Game Theory and Operations Research", "Models and methods of discrete optimization", "Methods and models in Economics", "System analysis", "Planning and optimization of computing processes". The textbook will also be useful for graduate students, researchers of departments of economics and management, specialists involved in the analysis and modeling of the development of economic and social facilities.
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15

Tempo, Roberto. Randomized Algorithms for Analysis and Control of Uncertain Systems: With Applications. 2nd ed. Springer London, 2013.

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16

Heat Exchanger Network Synthesis : : Process Optimization by Energy and Resource Analysis. Elsevier Science & Technology Books, 1995.

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17

Heat exchanger network synthesis: Process optimization by energy and resource analysis. Gulf Pub., 1995.

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18

Heat Exchanger Network Synthesis:: Process Optimization by Energy and Resource Analysis. Gulf Professional Publishing, 1995.

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19

Network Analysis and Ethnographic Problems: Process Models of a Turkish Nomad Clan. Lexington Books, 2004.

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20

Johansen, Ulla, and Douglas R. White. Network Analysis and Ethnographic Problems: Process Models of a Turkish Nomad Clan. Lexington Books, 2006.

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21

Porter, Martin Howard Andrew. Interest groups, advocacy coalitions and the EC environmental policy process: A policy network analysis of the packaging and packaging waste directive. 1995.

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22

Snijders, Tom A. B., and Mark Pickup. Stochastic Actor Oriented Models for Network Dynamics. Edited by Jennifer Nicoll Victor, Alexander H. Montgomery, and Mark Lubell. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780190228217.013.10.

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Stochastic Actor Oriented Models for Network Dynamics are used for the statistical analysis of longitudinal network data collected as a panel. The probability model defines an unobserved stochastic process of tie changes, where social actors add new ties or drop existing ties in response to the current network structure; the panel observations are snapshots of the resulting changing network. The statistical analysis is based on computer simulations of this process, which provides a great deal of flexibility in representing data constraints and dependence structures. In this Chapter we begin by defining the basic model. We then explicate a new model for nondirected ties, including several options for the specification of how pairs of actors coordinate tie changes. Next, we describe coevolution models. These can be used to model the dynamics of several interdependent sets of variables, such as the analysis of panel data on a network and the behavior of the actors in the network, or panel data on two or more networks. We finish by discussing the differences between Stochastic Actor Oriented Models and some other longitudinal network models. A major distinguishing feature is the treatment of time, which allows straightforward application of the model to panel data with different time lags between waves. We provide a variety of applications in political science throughout.
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23

Real-World Electronic Voting: Design, Analysis and Deployment. Taylor & Francis Group, 2016.

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24

Ryan, Peter Y. A., and Feng Hao. Real-World Electronic Voting: Design, Analysis and Deployment. Auerbach Publishers, Incorporated, 2016.

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25

Ryan, Peter Y. A., and Feng Hao. Real-World Electronic Voting: Design, Analysis and Deployment. Auerbach Publishers, Incorporated, 2016.

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26

Ryan, Peter Y. A., and Feng Hao. Real-World Electronic Voting: Design, Analysis and Deployment. Auerbach Publishers, Incorporated, 2016.

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27

Baker, Paul, Ursula Lutzky, Brian Paltridge, et al. Using Corpora in Discourse Analysis. Bloomsbury Publishing Plc, 2023. http://dx.doi.org/10.5040/9781350083783.

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How can you carry out discourse analysis using corpus linguistics? What research questions should I ask? Which methods should you use and when? What is a collocational network or a key cluster? Introducing the major techniques, methods and tools for corpus-assisted analysis of discourse, this book answers these questions and more, showing readers how to best use corpora in their analyses of discourse. Using carefully tailored case studies, each chapter is devoted to a central technique, including frequency, concordancing and keywords, going step by step through the process of applying different analytical procedures. Introducing a wide range of different corpora, from holiday brochures to political debates, the book considers the key debates and latest advances in the field. Fully revised and updated, this new edition includes: - A new chapter on how to conduct research projects in corpus-based discourse analysis- Completely rewritten chapters on collocation and advanced techniques, using a corpus of jihadist propaganda texts and covering topics such as social media and visual analysis- Coverage of major tools, including CQPweb, AntConc, Sketch Engine and #LancsBox- Discussion of newer techniques including the derivation of lockwords and the comparison of multiple data sets for diachronic analysis With exercises, discussion questions and suggested further readings in each chapter, this book is an excellent guide to using corpus linguistics techniques to carry out discourse analysis. Using Corpora for Discourse Analysis provides an overview of how to employ methods from corpus linguistics in order to carry out discourse analysis, with chapters devoted to central techniques: frequency, concordancing, collocation, keywords. The book also covers corpus building and annotation and a range of different corpus analysis tools including WordSmith, AntConc, Sketch Engine and #Lancsbox. Key debates in the field are considered and coverage is provided of the latest advances in the field, including the use of triangulatory frameworks, multimodal analyses, collocational networks and reflexivity. The chapters include case studies using different types of corpora including holiday brochures, newspaper articles and political debates. Each chapter contains step by step guides to using different analytical procedures, discussion questions, suggestions for further reading and exercises for students.
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28

Leifeld, Philip. Discourse Network Analysis. Edited by Jennifer Nicoll Victor, Alexander H. Montgomery, and Mark Lubell. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780190228217.013.25.

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Political discourse is the verbal interaction among political actors, who make normative claims about policies conditional on each other, rendering discourse a dynamic network phenomenon. The structure and dynamics of policy debates can be analyzed by combining content and dynamic network analysis. After annotating statements of actors in text sources, networks can be created from these structured data, such as congruence or conflict networks at the actor or concept level, affiliation networks of actors and concept stances, and longitudinal versions of these networks. The resulting network data reveal important properties, such as the structure of advocacy coalitions or discourse coalitions; polarization and consensus formation; and underlying endogenous processes like popularity, reciprocity, or social balance. The advantage of discourse network analysis over survey-based policy network research is that policy processes can be analyzed from a longitudinal perspective. Inferential techniques for understanding the micro-level processes governing political discourse are being developed.
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29

Thurner, Paul W. Networks and European Union Politics. Edited by Jennifer Nicoll Victor, Alexander H. Montgomery, and Mark Lubell. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780190228217.013.24.

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The European Union (EU) is a regional cooperation regime with a specific and still fluid governance structure. It constitutes the world’s largest and institutionally most deeply integrated system of international relations with supranational features. As a consequence, the literature on the EU often emphasizes informality, multilevel aspects, and its “network governance” character. Network analysis is therefore a promising perspective for the systematic investigation of complex networks of formalized actor relations as well as of informal and implicit political structures and processes in the EU. Applied network analysis is meanwhile used for the investigation of multi-level policy preparation, of collective decision-making in the political system in the EU, and of the implementation process of EU policies in the Member States.
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30

Hardt, Heidi. Hear No Evil. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190672171.003.0005.

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Chapter 5, the third empirical chapter, provides evidence of specific processes in the development of NATO’s institutional memory. The first part of the chapter describes process tracing as a methodology for testing competing explanations for how memory develops. The second part of the chapter applies process tracing tests to assess evidence from structured interviews and primary NATO documents. In these sections, the chapter demonstrates evidence in support of three mechanisms by which elites share knowledge of strategic errors. Interview evidence reflects elites’ use of these mechanisms. To assess the use of interpersonal networks (one mechanism), a social network analysis is applied. A visualization identifies who are the knowledge guardians within the network. The chapter provides discussion on what leads to someone becoming a guardian. Evidence from the process tracing tests and network analysis indicate that elites rely on a handful of individuals to maintain institutional memory across time.
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31

Pounds, W. F. Process of Problem Finding. Creative Media Partners, LLC, 2018.

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32

Padgett, John F. The Emergence of Organizations and States. Edited by Jennifer Nicoll Victor, Alexander H. Montgomery, and Mark Lubell. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780190228217.013.2.

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Organizations and states emerge, exist, and evolve through dynamic processes operating across multiple network domains (e.g., political, economic, kinship, religion, and war). Autocatalytic networks—sets of nodes that reproduce themselves through ties—create and sustain organizations, but also contain the seeds of their evolution and destruction. Change occurs through novelty, which can take the form of innovation (transposition of ties or feedback among network domains) or invention (when innovation spills over to alter organizations across an entire domain). Equilibrium (through autocatalysis) and change (through novelty) are not different phenomena in this process-oriented view; they are distinct moments in the same underlying cycle. This chapter first develops a multiple-network perspective about the emergence of organizational novelty and autocatalysis, then applies this perspective to the comparative analysis of communist reform transitions in the Soviet Union under Stalin and Gorbachev, and in China under Mao and Deng Xiaoping.
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33

Krawatzek, Félix. Interpreting Text as Discourse or Using Text as Data. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198826842.003.0002.

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This chapter presents a new multi-level investigation of discourse that combines network analysis with qualitative content analysis. This book is the first to employ this method for multi-linguistic comparative research. The chapter first develops an understanding of discourse, which seeks to address some of the challenges discourse analysis has faced. It then describes the sources, the sampling procedure, the process of qualitative content analysis, and the logic of the applied coding scheme. A final section introduces details of the discourse network analysis, which combines the unique insight of qualitative interpretation, and the structural insights derived through the rigour of network analysis. This combination can pre-empt some of the concerns that critics have voiced about new quantitative approaches to analysing text. Its added value lies in the identification of clusters in the network, which point to discursive formations that structure meaning.
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34

Maoz, Zeev. Democracy and Cooperative Networks. Edited by Jennifer Nicoll Victor, Alexander H. Montgomery, and Mark Lubell. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780190228217.013.32.

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This chapter examines the role of democracy and other characteristics that affect cooperation and conflict in the traditional literature. It assesses the more recent contribution of network analytic studies to the understanding of conflict and cooperation processes. Key contributions of network studies include controlling for network effects on dyadic conflict and cooperation, corroborating some of the key results of non-network studies, and clarifying important debates in the literature on cooperation and conflict. Most of the contributions of the network analytic studies of conflict and cooperation are dyadic in nature. The few systemic or group-level analyses of international cooperation show significant promise, but until recently there has been little effort to extend traditional units of analysis to some of the more important units derived from network analysis. The chapter demonstrates some of the potential of such approaches via an analysis of democracy’s role in the emergence of cooperative international communities.
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35

Yuan, Yuan, Hongjiu Yang, Lei Guo, and Fuchun Sun. Analysis and Design of Networked Control Systems under Attacks. Taylor & Francis Group, 2018.

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36

Sewer processes: Microbial and chemical process engineering of sewer networks. CRC Press, 2002.

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37

Hvitved-Jacobsen, Thorkild. Sewer Processes: Microbial and Chemical Process Engineering of Sewer Networks. Taylor & Francis Group, 2012.

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38

Hvitved-Jacobsen, Thorkild. Sewer Processes: Microbial and Chemical Process Engineering of Sewer Networks. CRC, 2001.

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39

Hvitved-Jacobsen, Thorkild. Sewer Processes: Microbial and Chemical Process Engineering of Sewer Networks. Taylor & Francis Group, 2001.

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40

Kushner, Harold. Heavy Traffic Analysis of Controlled Queueing and Communication Networks. Springer, 2013.

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41

Kushner, Harold. Heavy Traffic Analysis of Controlled Queueing and Communication Networks. Springer, 2013.

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42

Kushner, Harold. Heavy Traffic Analysis of Controlled Queueing and Communication Networks. Springer London, Limited, 2013.

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43

Aldrich, C. Exploratory Analysis of Metallurgical Process Data with Neural Networks and Related Methods (Process Metallurgy). Elsevier Science, 2002.

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44

Performance Analysis and Synthesis for Discrete-Time Stochastic Systems with Network-Enhanced Complexities. Taylor & Francis Group, 2018.

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45

Wang, Zidong, Guoliang Wei, and Derui Ding. Performance Analysis and Synthesis for Discrete-Time Stochastic Systems with Network-Enhanced Complexities. Taylor & Francis Group, 2018.

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46

Gebali, Fayez. Analysis of Computer and Communication Networks. Springer London, Limited, 2008.

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47

Ezz-Eldin, Rabab, Magdy Ali El-Moursy, and Hesham F. A. Hamed. Analysis and Design of Networks-On-Chip under High Process Variation. Springer London, Limited, 2015.

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48

Ezz-Eldin, Rabab, Magdy Ali El-Moursy, and Hesham F. A. Hamed. Analysis and Design of Networks-on-Chip Under High Process Variation. Springer, 2015.

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49

Ezz-Eldin, Rabab, Magdy Ali El-Moursy, and Hesham F. A. Hamed. Analysis and Design of Networks-on-Chip Under High Process Variation. Springer, 2019.

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50

Dynamics On and Of Complex Networks Volume 2 Modeling and Simulation in Science Engineering and Technology. Springer-Verlag New York Inc., 2013.

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