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1

Kirk, Andy. Network Diagram. SAGE Publications, Ltd., 2016. http://dx.doi.org/10.4135/9781529776416.

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2

Billinghurst, Carol. The development of a node/arc network diagram editorusingobject-oriented technology. UMIST, 1993.

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3

Jenkins, G. R. Design of a JSD network diagram editor for the majic case tool. UMIST, 1993.

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4

Hildén, Jonatan, and Laura Koivunen-Niemi. Learn to Create a Network Diagram in R With Data From UNHCR (2016). SAGE Publications, Ltd., 2021. http://dx.doi.org/10.4135/9781529771725.

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5

Kjærulff, Uffe B., and Anders L. Madsen. Bayesian Networks and Influence Diagrams. Springer New York, 2008. http://dx.doi.org/10.1007/978-0-387-74101-7.

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6

Bertin, Jacques. Semiology of graphics: Diagrams networks maps. ESRI Press, 2010.

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7

Kjærulff, Uffe B., and Anders L. Madsen. Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-5104-4.

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8

Kjaerulff, Uffe B. Bayesian networks and influence diagrams: A guide to construction and analysis. Springer, 2008.

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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

Kjaerulff, Uffe B. Bayesian networks and influence diagrams: A guide to construction and analysis. Springer, 2008.

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11

Diagrams 2010 (2010 Portland, Or.). Diagrammatic representation and inference: 6th international conference, Diagrams 2010, Portland, OR, USA, August 9-11, 2010 : proceedings. Springer, 2010.

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12

Hilary, Johnson, Palanque Philippe 1966-, and SpringerLink (Online service), eds. Task Models and Diagrams for User Interface Design: 6th International Workshop, TAMODIA 2007, Toulouse, France, November 7-9, 2007. Proceedings. Springer-Verlag Berlin Heidelberg, 2007.

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13

Pedro, Fierro, and Nyer Evan K, eds. The water encyclopedia: Hydrologic data and Internet resources. 3rd ed. CRC/Taylor & Francis, 2007.

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14

Dimitri, Volchenkov, and SpringerLink (Online service), eds. Random Walks and Diffusions on Graphs and Databases: An Introduction. Springer-Verlag Berlin Heidelberg, 2011.

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15

What to Learn From a Facebook Social Network Diagram. SAGE Publications, Ltd., 2021. http://dx.doi.org/10.4135/9781529771213.

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16

Prem, P. M. Personal Network Diagram Notebook: Drawing and Writing Diagram Computer for Students, Notebook Without Lines Cover Sale 110 Pages. Independently Published, 2020.

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17

Ellis, Aileen. How to get every Network Diagram question right on the PMP® Exam : : 50+ PMP® Exam Prep Sample Questions and Solutions on Network Diagrams. Createspace Independent Publishing Platform, 2015.

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18

Bianconi, Ginestra. Classical Percolation, Generalized Percolation and Cascades. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198753919.003.0012.

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This chapter characterizes the robustness of multiplex and multilayer networks using classical percolation, directed percolation and antagonistic percolation. Classical percolation determines whether a finite fraction of nodes of the multilayer networks are connected by any type of connection. Classical percolation can be affected by multiplexity since the degree correlations among different layers can modulate the robustness of the entire multilayer network. Directed percolation describes the propagation of a disease requiring cooperative infection from different layers of the multiplex netwo
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19

Introduction to Network Diagrams. SAGE Publications, Ltd., 2021. http://dx.doi.org/10.4135/9781529778397.

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20

Massalski, T. B. Binary Alloy Phase Diagrams Materials Network User. Asm Intl, 1996.

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21

Rosandich, Ryan G. Fundamentals of Ladder Diagram Programming. Primedia, 1999.

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22

Thurner, Stefan, Rudolf Hanel, and Peter Klimekl. Networks. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198821939.003.0004.

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Understanding the interactions between the components of a system is key to understanding it. In complex systems, interactions are usually not uniform, not isotropic and not homogeneous: each interaction can be specific between elements.Networks are a tool for keeping track of who is interacting with whom, at what strength, when, and in what way. Networks are essential for understanding of the co-evolution and phase diagrams of complex systems. Here we provide a self-contained introduction to the field of network science. We introduce ways of representing and handle networks mathematically and
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23

Bayesian Networks and Influence Diagrams Information Science and Statistics. Springer-Verlag New York Inc., 2013.

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24

Mastering Gephi Network Visualization. Packt Publishing, 2015.

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25

Madsen, Anders L., and Uffe B. B. Kjærulff. Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis. Springer, 2014.

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26

Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis. Springer London, Limited, 2008.

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27

Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis (Information Science and Statistics). Springer, 2007.

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28

Nyer, Evan K., and Pedro Fierro Jr. Water Encyclopedia: Hydrologic Data and Internet Resources. Taylor & Francis Group, 2007.

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29

Nyer, Evan K., and Pedro Fierro Jr. Water Encyclopedia: Hydrologic Data and Internet Resources. Taylor & Francis Group, 2007.

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30

Nyer, Evan K., and Pedro Fierro Jr. Water Encyclopedia: Hydrologic Data and Internet Resources. Taylor & Francis Group, 2007.

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31

Nyer, Evan K., and Pedro Fierro Jr. Water Encyclopedia: Hydrologic Data and Internet Resources. Taylor & Francis Group, 2007.

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32

(Editor), Jr Pedro Fierro, and Evan K. Nyer (Editor), eds. The Water Encyclopedia, Third Edition: Hydrologic Data and Internet Resources. 3rd ed. CRC, 2007.

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33

Nyer, Evan K., and Pedro Fierro. Water Encyclopedia. Taylor & Francis Group, 2021.

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34

(Editor), Judith Richards, ed. Mark Lombardi: Global Networks. Independent Curators International, New York, 2003.

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35

Madsen, Anders L., and Uffe B. B. Kjærulff. Bayesian Networks and Influence Diagrams : A Guide to Construction and Analysis: A Guide to Construction and Analysis. Springer, 2010.

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36

Boudreau, Joseph F., and Eric S. Swanson. Classical spin systems. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198708636.003.0020.

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The thermodynamic properties of spin systems are evaluated with Monte Carlo methods. A review of classical thermodynamics is followed by a discussion of critical exponents. The Monte Carlo method is then applied to the two-dimensional Ising model with the goal of determining the phase diagram for magnetization. Boundary conditions, the reweighting method, autocorrelation, and critical slowing down are all explored. Cluster algorithms for overcoming critical slowing down are developed next and shown to dramatically reduce autocorrelation. A variety of spin systems that illustrate first, second,
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37

System 8: Programs to assist workers in the earth sciences in using geodetic or Cartesian XYZ data from row column (GSPV85) files; GSPDC, contours, and grids interpolated from triangulated network; GSPCS, graphic sections; GSPUV, univariant statistics and histograms; GSPROB, probability diagrams; GSPXY, regression statistics and XY plots; GSPTD, ternary diagrams; and GSPV85 post-plots, for IBM PC compatible computers. Dept. of the Interior, U.S. Geological Survey, 1992.

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38

McNally, Michael. Hürtgen Forest 1944 (1). Bloomsbury Publishing Plc, 2025. https://doi.org/10.5040/9781472862327.

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The first part of a detailed study of one of the longest, and most brutal, tactical operations of World War II. In September 1944, the Allied High Command continued to press eastwards towards the Rhine, the thrust being spearheaded by Courtney Hodges' US First Army, whose proposed line of advance was through a wooded area south of Aachen, known locally as the Hürtgenwald – or Hürtgen Forest. On the opposing side, the German forces under the overall command of Walter Model would do all they could to defend the Reich, but also maintain a staging post for the forthcoming Battle of the Bulge. Foug
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39

Paterson, Lawrence. Kriegsmarine Atlantic Command 1939–42. Bloomsbury Publishing Plc, 2025. https://doi.org/10.5040/9781472867384.

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Germany’s legendary Atlantic surface war was fought by Naval Group West. Superbly illustrated, this unpacks the details of how it operated and fought. Having spent the 1930s on an ambitious but confused bid to build a new battle fleet, Germany began World War II woefully unprepared. UnderMarinegruppenkommandoWest, its heavy ships and raiders were tasked with challenging Allied dominance of the Atlantic. In this book, Kriegsmarine specialist Lawrence Paterson explores how Naval Group West took on the challenge. He reassesses the qualities of the fleet, and how the confusion over their original
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40

Gephi Cookbook. Packt Publishing, Limited, 2015.

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41

Hale, Julian. Normandy 1944. Bloomsbury Publishing Plc, 2025. https://doi.org/10.5040/9781472865823.

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Packed with illustrations, this is the first book to focus on the 'Transportation Plan', the air campaign to isolate the D-Day beaches from German reinforcements. As the invasion of Europe grew closer, thought was given to how to use the Allies' substantial forces of heavy bombers in preparation. After much controversy, the plan eventually adopted was the ‘Transportation Plan’, in which the railway and road networks of France (and hence the German logistical chain) were targeted in order to slow German reinforcements to the Normandy beachhead both before and during the Allied invasion. In this
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