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Published: 14 March 2023

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1

Abraham, Ajith, and Aboul Ella Hassanien. Computational social network analysis: Trends, tools and research advances. Dordrecht: Springer, 2010.

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2

Wehrle, Klaus. Modeling and Tools for Network Simulation. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2010.

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3

Ma'ayan, Avi, and Ben D. MacArthur, eds. New Frontiers of Network Analysis in Systems Biology. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-4330-4.

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4

Airoldi, Edoardo, David M. Blei, Stephen E. Fienberg, Anna Goldenberg, Eric P. Xing, and Alice X. Zheng, eds. Statistical Network Analysis: Models, Issues, and New Directions. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-73133-7.

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5

Leeuwen, Theo van. Discourse and practice: New tools for critical discourse analysis. New York: Oxford University Press, 2008.

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6

Pascual-Ferrá, Paola. How to Visualize and Interpret Social Media Networks Using Social Network Analysis Tools. 1 Oliver’s Yard, 55 City Road, London EC1Y 1SP United Kingdom: SAGE Publications, Ltd., 2022. http://dx.doi.org/10.4135/9781529610857.

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7

Borzemski, Leszek. Information systems architecture and technology: Information models, concepts, tools and applications. Wrocław: Oficyna Wydawnicza Politechniki Wrocławskiej, 2006.

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8

Aura, Reggiani, and Fabbri Daniele, eds. Network developments in economic spatial systems: New perspectives. Aldershot: Ashgate, 1999.

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9

Hillestad, R. J. New issues and tools for future military analysis: A workshop summary. Santa Monica, CA (P.O. Box 2138, Santa Monica 90407-2138): Rand, 1992.

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10

Qld.) APEC Gender Focal Point Network Workshop (2007 Cairns. Gender analysis: Concepts, tools, and practice : training manual for APEC 2007 Gender Focal Point Network Workshop. [Singapore]: Asia Pacific Economic Cooperation, 2007.

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11

Applied social network analysis: A set of tools for social services research and practice : information pack. Tunbridge Wells: Costello, 1987.

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12

Varlamov, Oleg. Mivar databases and rules. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1508665.

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The multidimensional open epistemological active network MOGAN is the basis for the transition to a qualitatively new level of creating logical artificial intelligence. Mivar databases and rules became the foundation for the creation of MOGAN. The results of the analysis and generalization of data representation structures of various data models are presented: from relational to "Entity — Relationship" (ER-model). On the basis of this generalization, a new model of data and rules is created: the mivar information space "Thing-Property-Relation". The logic-computational processing of data in this new model of data and rules is shown, which has linear computational complexity relative to the number of rules. MOGAN is a development of Rule - Based Systems and allows you to quickly and easily design algorithms and work with logical reasoning in the "If..., Then..." format. An example of creating a mivar expert system for solving problems in the model area "Geometry"is given. Mivar databases and rules can be used to model cause-and-effect relationships in different subject areas and to create knowledge bases of new-generation applied artificial intelligence systems and real-time mivar expert systems with the transition to"Big Knowledge". The textbook in the field of training "Computer Science and Computer Engineering" is intended for students, bachelors, undergraduates, postgraduates studying artificial intelligence methods used in information processing and management systems, as well as for users and specialists who create mivar knowledge models, expert systems, automated control systems and decision support systems. Keywords: cybernetics, artificial intelligence, mivar, mivar networks, databases, data models, expert system, intelligent systems, multidimensional open epistemological active network, MOGAN, MIPRA, KESMI, Wi!Mi, Razumator, knowledge bases, knowledge graphs, knowledge networks, Big knowledge, products, logical inference, decision support systems, decision-making systems, autonomous robots, recommendation systems, universal knowledge tools, expert system designers, logical artificial intelligence.
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13

Watrall, Ethan, Eric Christopher Kansa, and Sarah Whitcher Kansa. Archaeology 2.0: New tools for communication and collaboration. Los Angeles: Cotsen Institute of Archaeology Press, 2011.

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14

Introduction to proteomics: Tools for the new biology. Totowa, NJ: Humana Press, 2002.

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15

M, Airoldi Edoardo, ed. Statistical network analysis: Models, issues, and new directions : ICML 2006 Workshop on Statistical Network Analysis, Pittsburgh, PA, USA, June 29, 2006 : revised selected papers. Berlin: Springer, 2007.

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16

New frontiers in technical analysis: Effective tools and strategies for trading and investing. Hoboken, N.J: Bloomberg Press, 2011.

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17

Going online with protocols: New tools for teaching and learning. New York, NY: Teachers College Press, 2012.

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18

Watrall, Ethan, Eric Christopher Kansa, and Sarah Whitcher Kansa. Archaeology 2.0: New tools for communication and collaboration. Los Angeles: Cotsen Institute of Archaeology Press, 2011.

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19

Armitage, Emily G. Correlation-based network analysis of cancer metabolism: A new systems biology approach in metabolomics. New York: Springer, 2014.

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20

Verloo, Nanke, and Luca Bertolini, eds. Seeing the City. NL Amsterdam: Amsterdam University Press, 2020. http://dx.doi.org/10.5117/9789463728942.

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The city is a complex object. Some researchers look at its shape, others at its people, animals, ecology, policy, infrastructures, buildings, history, art, or technical networks. Some researchers analyse processes of in- or exclusion, gentrification, or social mobility; others biological evolution, traffic flows, or spatial development. Many combine these topics or add still more topics beyond this list. Some projects cross the boundaries of research and practice and engage in action research, while others pursue knowledge for the sake of curiosity. This volume embraces this variety of perspectives and provides an essential collection of methodologies for studying the city from multiple, interdisciplinary, and transdisciplinary perspectives. We start by recognizing that the complexity of the urban environment cannot be understood from a single vantage point. We therefore offer multiple methodologies in order to gather and analyse data about the city, and provide ways to connect and integrate these approaches. The contributors form a talented network of urban scholars and practitioners at the forefront of their fields. They offer hands-on methodological techniques and skills for data collection and analysis. Furthermore, they reveal honest and insightful reflections from behind the scenes. All methodologies are illustrated with examples drawn from the authors own research applying them in the city of Amsterdam. In this way, the volume also offers a rich collection of Amsterdam-based research and outcomes that may inform local urban practitioners and policy makers. Altogether, the volume offers indispensable tools for and aims to educate a new generation of interdisciplinary and transdisciplinary-minded urban scholars and practitioners.
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21

Dirk, Lassner, Pustowoit Barbara, Rolfs Arndt 1959-, and Augustusburg Conference of Advanced Science on Problems of Quantitation of Nucleic Acids by Amplification Techniques (1996), eds. Modern applications of DNA amplification techniques: Problems and new tools. New York: Plenum Press, 1997.

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22

Mann, Uzi. Principles of chemical reactor analysis and design: New tools for industrial chemical reactor operations. 2nd ed. Hoboken: Wiley, 2008.

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23

Media, Kagan World. New perspectives on competition in consumer broadband: Analysis of Regional Bell & independent broadband network strategies. Carmel, CA: Kagan World Media (126 Clock Tower Place, Carmel, 93923-8746), 2002.

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24

Karen, Calhoun, and Riemer John J, eds. CORC: New tools and possibilities for cooperative electronic resource description. New York: Haworth Information Press, 2001.

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25

Jafrancesco, Elisabetta, and Matteo La Grassa, eds. Competenza lessicale e apprendimento dell’Italiano L2. Florence: Firenze University Press, 2021. http://dx.doi.org/10.36253/978-88-5518-403-8.

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This volume addresses the teaching and learning of vocabulary in Italian L2 from different points of view, defining an updated and heterogeneous framework. The articles focus on wide-ranging topics: advances in acquisitional linguistics research, studies on interlanguage, results of psycholinguistic research, the role of teaching technologies, the use of multimedia lexicographic tools, new attention to languages for specific purposes, analysis of interactions on social networks. Each of these topics is treated specifically referring to the lexical dimension and to the possible applicative effects on the teaching of Italian L2.
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26

Statistical Office of the European Communities., ed. New tools for spatial analysis: Proceedings of the workshop, Lisbon, 18 to 20 November 1993. Luxembourg: Office for Official Publications of the European Communities, 1994.

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27

Randolph, Ryan P. New research techniques: Getting the most out of search engine tools. New York: Rosen Central, 2011.

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28

Chountas, Panagiotis, Petrouniass Ilias, and Kacprzyk Janusz, eds. Intelligent techniques and tools for novel system architectures. Berlin: Springer, 2008.

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29

Luke, Haggerty, and World Bank, eds. New tools for studying network industry reforms in developing cuntries: The telecommunications and electricity regulation database. Washington, D.C: World Bank, 2004.

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30

Poland) ISAT Scientific School (25th 2004 Wrocław. Information systems architecture and technology, ISAT 2004: Proceedings of the 25th International Scientific School : information models, concepts, tools and applications. Edited by Grzech Adam, Wilimowska Zofia, and Politechnika Wrocławska. Wrocław: Oficyna Wydawnicza Politechniki Wrocławskiej, 2004.

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31

David, Barber, ed. Using new Web tools in the primary classroom: A practical guide for enhancing teaching and learning. Milton Park, Abingdon, Oxon: Routledge, 2012.

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32

Alexa, Dufraisse, ed. Charcoal analysis: New analytical tools and methods for archaeology : papers from the table-ronde held in Basel 2004. Oxford: Archaeopress, 2006.

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33

Hilgurt, S. Ya, and O. A. Chemerys. Reconfigurable signature-based information security tools of computer systems. PH “Akademperiodyka”, 2022. http://dx.doi.org/10.15407/akademperiodyka.458.297.

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The book is devoted to the research and development of methods for combining computational structures for reconfigurable signature-based information protection tools for computer systems and networks in order to increase their efficiency. Network security tools based, among others, on such AI-based approaches as deep neural networking, despite the great progress shown in recent years, still suffer from nonzero recognition error probability. Even a low probability of such an error in a critical infrastructure can be disastrous. Therefore, signature-based recognition methods with their theoretically exact matching feature are still relevant when creating information security systems such as network intrusion detection systems, antivirus, anti-spam, and wormcontainment systems. The real time multi-pattern string matching task has been a major performance bottleneck in such systems. To speed up the recognition process, developers use a reconfigurable hardware platform based on FPGA devices. Such platform provides almost software flexibility and near-ASIC performance. The most important component of a signature-based information security system in terms of efficiency is the recognition module, in which the multipattern matching task is directly solved. It must not only check each byte of input data at speeds of tens and hundreds of gigabits/sec against hundreds of thousand or even millions patterns of signature database, but also change its structure every time a new signature appears or the operating conditions of the protected system change. As a result of the analysis of numerous examples of the development of reconfigurable information security systems, three most promising approaches to the construction of hardware circuits of recognition modules were identified, namely, content-addressable memory based on digital comparators, Bloom filter and Aho–Corasick finite automata. A method for fast quantification of components of recognition module and the entire system was proposed. The method makes it possible to exclude resource-intensive procedures for synthesizing digital circuits on FPGAs when building complex reconfigurable information security systems and their components. To improve the efficiency of the systems under study, structural-level combinational methods are proposed, which allow combining into single recognition device several matching schemes built on different approaches and their modifications, in such a way that their advantages are enhanced and disadvantages are eliminated. In order to achieve the maximum efficiency of combining methods, optimization methods are used. The methods of: parallel combining, sequential cascading and vertical junction have been formulated and investigated. The principle of multi-level combining of combining methods is also considered and researched. Algorithms for the implementation of the proposed combining methods have been developed. Software has been created that allows to conduct experiments with the developed methods and tools. Quantitative estimates are obtained for increasing the efficiency of constructing recognition modules as a result of using combination methods. The issue of optimization of reconfigurable devices presented in hardware description languages is considered. A modification of the method of affine transformations, which allows parallelizing such cycles that cannot be optimized by other methods, was presented. In order to facilitate the practical application of the developed methods and tools, a web service using high-performance computer technologies of grid and cloud computing was considered. The proposed methods to increase efficiency of matching procedure can also be used to solve important problems in other fields of science as data mining, analysis of DNA molecules, etc. Keywords: information security, signature, multi-pattern matching, FPGA, structural combining, efficiency, optimization, hardware description language.
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34

Pfeffer, Jürgen. Visualization of Political Networks. Edited by Jennifer Nicoll Victor, Alexander H. Montgomery, and Mark Lubell. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780190228217.013.13.

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Network visualization and political networks have a long history, and some of the earliest and most effective network visualizations have been about power and influence. Now as in the past, network visualization is one of the most effective tools for both exploratory analysis and the communication of scientific results. This chapter discusses the rhetorical, technical, and aesthetic principles that underlie successful network visualizations. The chapter covers automated layout algorithms as well as layouts resulting from the substance of the network. Aspects of visualizing multivariate network data are also discussed. The use of additional visual elements such as color and size is deliberated. The various topics of this chapter are contrasted with issues resulting from human perception and with frequently encountered visualization challenges, such as those encountered when working with dense networks.
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35

Diogo, Rui, and Sharlene E. Santana. Evolution of Facial Musculature. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780190613501.003.0008.

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We review the origin and evolution of the facial musculature of mammals and pay special attention to the complex relationships between facial musculature, color patterns, mobility, and social group size during the evolution of humans and other primates. In addition, we discuss the modularity of the human head and the assymetrical use of facial expressions, as well as the evolvability of the muscles of facial expression, based on recent developmental and comparative studies and the use of a powerful new quantitative tool: anatomical networks analysis. We emphasizes the remarkable diversity of primate facial structures and the fact that the number of facial muscles present in our species is actually not as high when compared to many other mammals as previously thought. The use of new tools, such as anatomical network analyses, should be further explored to compare the musculoskeletal and other features of humans across stages of development and with other animal to enable a better understanding of the evolution of facial expressions.
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36

Bolt, Steven, and Joe Fichera. Network Intrusion Analysis: Methodologies, Tools, and Techniques for Incident Analysis and Response. Elsevier Science & Technology Books, 2012.

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37

Snásel, Vaclav, Ajith Abraham, Aboul-Ella Hassanien, and Springer Staff. Computational Social Network Analysis: Trends, Tools and Research Advances. Springer London, Limited, 2012.

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38

Fridlund, Mats, Mila Oiva, and Petri Paju, eds. Digital Histories: Emergent Approaches within the New Digital History. Helsinki University Press, 2020. http://dx.doi.org/10.33134/hup-5.

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Historical scholarship is currently undergoing a digital turn. All historians have experienced this change in one way or another, by writing on word processors, applying quantitative methods on digitalized source materials, or using internet resources and digital tools. Digital Histories showcases this emerging wave of digital history research. It presents work by historians who – on their own or through collaborations with e.g. information technology specialists – have uncovered new, empirical historical knowledge through digital and computational methods. The topics of the volume range from the medieval period to the present day, including various parts of Europe. The chapters apply an exemplary array of methods, such as digital metadata analysis, machine learning, network analysis, topic modelling, named entity recognition, collocation analysis, critical search, and text and data mining. The volume argues that digital history is entering a mature phase, digital history ‘in action’, where its focus is shifting from the building of resources towards the making of new historical knowledge. This also involves novel challenges that digital methods pose to historical research, including awareness of the pitfalls and limitations of the digital tools and the necessity of new forms of digital source criticisms. Through its combination of empirical, conceptual and contextual studies, Digital Histories is a timely and pioneering contribution taking stock of how digital research currently advances historical scholarship.
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39

Newman, Mark. Networks. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198805090.001.0001.

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The study of networks, including computer networks, social networks, and biological networks, has attracted enormous interest in recent years. The rise of the Internet and the wide availability of inexpensive computers have made it possible to gather and analyse network data on an unprecendented scale, and the development of new theoretical tools has allowed us to extract knowledge from networks of many different kinds. The study of networks is broadly interdisciplinary and developments have occurred in many fields, including mathematics, physics, computer and information sciences, biology, and the social science. This book brings together the most important breakthroughts in each of these fields and presents them in a unified fashion, highlighting the strong interconnections between work in different areas. Topics covered include the measurement of networks; methods for analysing network data, including methods developed in physics, statistics, and sociology; fundamentals of graph theory; computer algorithms, including spectral algorithms and community detection; mathematical models of networks such as random graph models and generative models; and models of processes taking place on networks.
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40

Multivariable Control: New Concepts and Tools. Springer, 2011.

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41

Ma'ayan, Avi, and Ben D. MacArthur. New Frontiers of Network Analysis in Systems Biology. Springer, 2012.

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42

Ma'ayan, Avi, and Ben D. MacArthur. New Frontiers of Network Analysis in Systems Biology. Springer London, Limited, 2012.

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43

New Frontiers of Network Analysis in Systems Biology. Springer, 2012.

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44

Ma'ayan, Avi, and Ben D. MacArthur. New Frontiers of Network Analysis in Systems Biology. Springer Netherlands, 2014.

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45

Sainz, Miguel A., Joaquim Armengol, Remei Calm, Pau Herrero, and Lambert Jorba. Modal Interval Analysis: New Tools for Numerical Information. Springer London, Limited, 2013.

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46

Sainz, Miguel A. A., Joaquim Armengol, Remei Calm, Pau Herrero, Lambert Jorba, and Josep Vehi. Modal Interval Analysis: New Tools for Numerical Information. Springer, 2013.

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47

Network Analysis In Archaeology New Approaches To Regional Interaction. Oxford University Press, USA, 2013.

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48

Network Analysis in Archaeology: New Approaches to Regional Interaction. Oxford University Press, Incorporated, 2013.

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49

Knappett, Carl. Network Analysis in Archaeology: New Approaches to Regional Interaction. Oxford University Press, 2013.

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50

Weber, Karl, Jennifer McCrea, and Jeffrey C. Walker. Generosity Network: New Transformational Tools for Successful Fund-Raising. Potter/Ten Speed/Harmony/Rodale, 2013.

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