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1

Oliveira, Homero Fernandes. Design and implementation of a toolbox of modularized C programs to construct, analyze and test network optimization algorithms. Monterey, Calif: Naval Postgraduate School, 1991.

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2

Zacharioudakis, Evangelos. Packet analyzer and graphical network. Oxford: Oxford Brookes University, 2003.

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3

Spectrum and network measurements. Englewood Cliffs, N.J: Prentice Hall, 1991.

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4

Witte, Robert A. Spectrum and network measurements. Englewood Cliffs, N.J: Prentice Hall, 1993.

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5

Spectrum and network measurements. Atlanta, Ga: Noble Pub. Corp., 2001.

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6

Lee, Whan Su. The de-embedment of network-analyzer measurements. Monterey, California: Naval Postgraduate School, 1988.

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7

Joseph Norbert Frans Marie à Campo. Sociale netwerk analyse: Begrippen en berekeningen. Rotterdam: Erasmus Universiteit, Faculteit Historische en Kunstwetenschappen, 2002.

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8

Helfrick, Albert D. Electrical spectrum and network analyzers: A practical approach. San Diego: Academic Press, 1991.

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9

Shoaib, Nosherwan. Vector Network Analyzer (VNA) Measurements and Uncertainty Assessment. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-44772-8.

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10

Krumm, Heiko. Funktionelle Analyse von Kommunikationsprotokollen. Berlin: Springer, 1990.

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11

Statistical analysis of network data: Methods and models. New York: Springer, 2009.

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12

Škorić, Marko, and Valentina Sokolovska. Analiza socijalnih mreža. Novi Sad: Filozofski fakultet Novi Sad, 2011.

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13

Hader, Micheal L. Guide de maintenance NetWare: Analyse des pannes. Paris: Addison Wesley Pub. Co., 1992.

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14

Perathoner, Christoph. Internet Recht: Eine europarechtliche Analyse. Bozen: Athesia, 2002.

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15

Degenne, Alain. Les réseaux sociaux: Une analyse structurale en sociologie. Paris: A. Colin, 1994.

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16

Do, Kim Them. Globale Netzwerke als Gestaltungschance für internationale Politik: Eine Analyse des International Competition Network. Frankfurt am Main: Peter Lang, 2009.

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17

Globale Netzwerke als Gestaltungschance für internationale Politik: Eine Analyse des International Competition Network. Frankfurt am Main: Peter Lang, 2009.

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18

Behnken, Edda. Innovationsmanagement in Netzwerken: Analyse und Handlungskonzept zur kollektiven Innovationsgenerierung. Frankfurt am Main: Lang, 2010.

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19

Social network analysis: A handbook. 2nd ed. London: SAGE Publications, 2000.

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20

Social network analysis: A handbook. London: SAGE Publications, 1991.

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21

Grinshpan, L. A. Metody analiza stokhasticheskikh setevykh modeleĭ vychislitelʹnykh sistem. Minsk: "Nauka i tekhnika", 1988.

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22

Kim, Anna. Familie und soziale Netzwerke: Eine komparative Analyse persönlicher Beziehungen in Deutschland und Südkorea. Opladen: Leske + Budrich, 2001.

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23

Facebook und Co: Eine soziologische Analyse von Interaktionsformen in Online Social Networks. Wiesbaden: VS, Verl. fu r Sozialwiss., 2010.

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24

Trzaska, Zdzisław. Analiza, identyfikacja i synteza obwodów dynamicznych metodą zmiennych stanu drugiego rzędu. Warszawa: Wydawn. Politechniki Warszawskiej, 1987.

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25

Confidents: Une analyse structurale de réseaux sociaux. Paris: L'Harmattan, 2007.

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26

Ferrand, Alexis. Confidents: Une analyse structurale de réseaux sociaux. Paris: L'Harmattan, 2007.

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27

Gaitley, Roger. HIV and AIDS: A social network approach. New York: St. Martin's Press, 1989.

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28

Gröhn, Andreas. Netzwerkeffekte und Wettbewerbspolitik: Eine ökonomische Analyse des Softwaremarktes. Tübingen: Mohr Siebeck, 1999.

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29

L' analyse structurale des réseaux sociaux. [Québec]: Presses de l'Université Laval, 2004.

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30

Kierzkowski, Zbigniew. Komputerowa wymiana informacji: Analiza stanu, rekomendacje praktyczne, nowe zadania. Poznań: Sorus, 1995.

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31

Schwarzer, Ralf. Sozialer Rückhalt und Gesundheit: Eine Meta-Analyse. Göttingen: Verlag für Psychologie C.J. Hogrefe, 1989.

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32

Mörl, Christoph. Soziale Netzwerke im Internet: Analyse der Monetarisierungsmöglichkeiten und die Entwicklung eines integrierten Geschäftsmodells. Boizenburg: Hülsbusch, 2008.

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33

Kim, Ki-chʻŏl. Interaktive Nachhaltigkeitsberichterstattung von Unternehmen: Konzeption und Analyse der Internetnutzung von GF-500-Unternehmen hinsichtlich der Nachhaltigkeitsberichterstattung. Frankfurt am Main: Lang, 2005.

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34

Ferrary, Michel. L' organisation en réseau, mythes et réalités. Paris: Presses universitaires de France, 2004.

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35

Villes virtuelles : entre communauté et cité: Analyse de cas. Paris: L'Harmattan, 2000.

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36

Pasechnikov, I. I. Metodologii Ła analiza i sinteza predel £no nagruzhennykh informat Łsionnykh setei. Moskva: Mashinostroenie-1, 2004.

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37

Heubeck, Martin. Intelligente Dienste im Telekommunikationsnetz: Der Markt für Raumintelligenz (VAS, VANS) : eine marktökonomische Analyse. Bayreuth: Verlag P.C.O., 1991.

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38

Blume, Lorenz. Unternehmerische Innovationen und regionale Wirtschaftspolitik: Eine empirische Analyse am Beispiel der Region Nordhessen. Berlin: Analytica, 2001.

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39

A, Felling, and Roes Jan 1939-, eds. Bewegende patronen: Een analyse van het landelijk netwerk van katholieke organisaties en bestuurders, 1945-1980. Nijmegen: katholiek Documentatie Centrum, 1985.

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40

Long, Edward R. Effects of specimen preparation on the accuracy of electromagnetic property measurements of solid materials with an automatic network analyzer. Hampton, Va: Langley Research Center, 1986.

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41

L'institution incertaine du partenariat: Une analyse socio-anthropologique de la gouvernance partenariale dans l'action sociale territoriale. Paris: L'Harmattan, 2008.

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42

Braun-Lüdicke, Sebastian. Der Konzerndatenschutzbeauftragte: Eine Analyse der rechtlichen und praktischen Bedeutung. Wiesbaden: Gabler, 2008.

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43

Hirni, Martin. Netzwerkorganisationen und Informationsmanagement bei Banken: Analyse am Beispiel der Zürcher Kantonalbank. Zürich: Schulthess, 2000.

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44

Bastelaer, Béatrice van. Villes virtuelles: Entre communauté et cité : analyse de cas. Paris: Harmattan, 2000.

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45

Complex Network Analysis in Python: Recognize - Construct - Visualize - Analyze - Interpret. Pragmatic Bookshelf, 2018.

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46

Orzach, Yoram, Nagendra Kumar Nainar, and Yogesh Ramdoss. Network Analysis Using Wireshark 2 Cookbook: Practical recipes to analyze and secure your network using Wireshark 2, 2nd Edition. Packt Publishing, 2018.

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47

Understanding Aviation Safety Data: Using the Internet and Other Sources to Analyze Air Travel Risk. SAE International, 2000.

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48

A Modeling and Simulation Approach to Analyze the Workload Associated with the Growth of Network Router Access Control Lists. Storming Media, 1999.

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49

Cross, Rob, Andrew Parker, and Lisa Sasson, eds. Networks in the Knowledge Economy. Oxford University Press, 2003. http://dx.doi.org/10.1093/oso/9780195159509.001.0001.

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In today's de-layered, knowledge-intensive organizations, most work of importance is heavily reliant on informal networks of employees within organizations. However, most organizations do not know how to effectively analyze this informal structure in ways that can have a positive impact on organizational performance. Networks in the Knowledge Economy is a collection of readings on the application of social network analysis to managerial concerns. Social network analysis (SNA), a set of analytic tools that can be used to map networks of relationships, allows one to conduct very powerful assessments of information sharing within a network with relatively little effort. This approach makes the invisible web of relationships between people visible, helping managers make informed decisions for improving both their own and their group's performance. Networks in the Knowledge Economy is specifically concerned with networks inside of organizations and addresses three critical areas in the study of social networks: Social Networks as Important Individual and Organizational Assets, Social Network Implications for Knowledge Creation and Sharing, and Managerial Implications of Social Networks in Organizations. Professionals and students alike will find this book especially valuable, as it provides readings on the application of social network analysis that reflect managerial concerns.
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50

Coolen, A. C. C., A. Annibale, and E. S. Roberts. Specific constructions. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198709893.003.0009.

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This chapter presents network-generating models which cannot be neatly categorized as growing, nor as defined primarily through a target degree distribution. They are best understood as mechanistic constructions designed to elucidate a particular feature of the network. In the first sub-section, the Watts–Strogatz model is introduced and motivated as a construction to achieve both a high degree of clustering and a low average path length. Geometric graphs, in their Euclidian flavour, are shown to be a natural choice for broadcast networks. The Hyperbolic variant is informally described, because it is known to be a natural space in which to embed hierarchical graphs. Planar graphs have very specific real-world applications, but are extraordinarily challenging to analyze mathematically. Finally, weighted graphs allow for concepts such as traffic to be incorporated into the random graph model.
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