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Books on the topic 'Network analyst'

Author: Grafiati

Published: 4 June 2021

Last updated: 2 February 2022

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1

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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2

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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3

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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4

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

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5

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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6

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

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7

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

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8

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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9

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

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10

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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11

Edwards, Gemma, and Jamie Lewis. Qualitative Social Network Analysis: Visualising and Analysing the Personal Networks of Suffragettes. 1 Oliver’s Yard, 55 City Road London EC1Y 1SP United Kingdom: SAGE Publications, Ltd., 2018. http://dx.doi.org/10.4135/9781526443267.

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12

Bhatnagar, S. K. Network analysis techniques. New York: Wiley, 1986.

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13

Bell, Michael G. H. Transportation network analysis. Chichester: J. Wiley, 1997.

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14

Lin, Pen-Min. Symbolic network analysis. Amsterdam: Elsevier, 1991.

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15

Knoke, David. Social network analysis. 2nd ed. Los Angeles: Sage Publications, 2008.

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16

McClure, Robert. Network analyser dissertation. [s.l: The Author], 1995.

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17

Bonald, Thomas, and Mathieu Feuillet. Network Performance Analysis. Hoboken, NJ, USA: John Wiley & Sons, Inc, 2011. http://dx.doi.org/10.1002/9781118602911.

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18

Horvath, Steve. Weighted Network Analysis. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-8819-5.

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19

Zweig, Katharina A. Network Analysis Literacy. Vienna: Springer Vienna, 2016. http://dx.doi.org/10.1007/978-3-7091-0741-6.

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20

Lin, Pen-Min. Symbolic network analysis. Amsterdam: Elsevier, 1991.

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21

Bonald, Thomas. Network performance analysis. Hoboken, NJ: John Wiley, 2011.

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22

Holt, Alan. Network Performance Analysis. London: Springer London, 2008. http://dx.doi.org/10.1007/978-1-84628-823-4.

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23

Fellin, Tommaso, and Michael Halassa, eds. Neuronal Network Analysis. Totowa, NJ: Humana Press, 2012. http://dx.doi.org/10.1007/978-1-61779-633-3.

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24

Freeman, Linton. Social Network Analysis. 1 Oliver's Yard, 55 City Road, London EC1Y 1SP United Kingdom: SAGE Publications Ltd, 2008. http://dx.doi.org/10.4135/9781446263464.

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25

Knoke, David, and Song Yang. Social Network Analysis. 2455 Teller Road, Thousand Oaks California 91320 United States of America: SAGE Publications, Inc., 2008. http://dx.doi.org/10.4135/9781412985864.

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26

Kulturhistorische Netzwerkanalyse: Am Beispiel des japanischen Tee-Meisters Kanamori Sôwa. Würzburg: Ergon Verlag, 2011.

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27

Dian li wang luo jie xi lun. Beijing: Ke xue chu ban she, 2008.

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28

Alan, Gibbons, ed. Hybrid graph theory and network analysis. Cambridge: Cambridge University Press, 1999.

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29

Network optimization. London: Chapman & Hall, 1995.

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30

Network Analyst. National Learning Corp, 2005.

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31

Ormsby, Tim, and Jonell Alvi. Extending ArcView GIS: With Network Analyst, Spatial Analyst and 3D Analyst. ESRI Press, 1999.

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32

Wireshark Network Analysis The Official Wireshark Certified Network Analyst Study Guide. Laura Chappell University, 2012.

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33

Institute, Environmental Systems Research, ed. ArcView GIS extensions: ArcView network analyst, ArcView spatial analyst. Redlands, California: Environmental Systems Research Institute, 1996.

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34

ArcView network analyst: Optimum routing, closest facility and service area analysis. Redlands, Calif: ESRI, 1996.

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35

ArcView network analyst: Optimum routing, closest facility and service area analysis. Redlands,CA: ESRI, 1996.

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36

Publishing, Network Guru. Don't Panic! I'm a Professional Senior Network Analyst : Customized 100 Page Lined Notebook Journal Gift for a Busy Senior Network Analyst: Far Better Than a Throw Away Greeting Card. Independently Published, 2020.

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37

Publishing, Grape Hill. Don't Panic! I'm a Professional Network Systems Analyst : Customized 100 Page Lined Notebook Journal Gift for a Busy Network Systems Analyst: Far Better Than a Throw Away Greeting Card. Independently Published, 2020.

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38

Publishing, Cisco Guru. Don't Panic! I'm a Professional Senior Cisco Network Analyst : Customized 100 Page Lined Notebook Journal Gift for a Busy Senior Cisco Network Analyst: Far Better Than a Throw Away Greeting Card. Independently Published, 2020.

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39

Wysocki, Robert K. Business Analyst / Project Manager: A New Partnership for Managing Complexity and Uncertainty. Wiley & Sons, Limited, John, 2010.

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40

Wysocki, Robert K. Business Analyst / Project Manager: A New Partnership for Managing Complexity and Uncertainty. Wiley & Sons, Limited, John, 2010.

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41

UML for the IT Business Analyst: A Practical Guide to Object-Oriented Requirements Gathering. Course Technology PTR, 2005.

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42

Masys, Anthony J. Networks and Network Analysis for Defence and Security. Springer, 2014.

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43

Masys, Anthony J. Networks and Network Analysis for Defence and Security. Springer, 2016.

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44

Lincoln, James R., and Matthew Sargent. Business Groups as Networks. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198717973.003.0004.

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This chapter explores how business groups can be viewed as networks; whether and how some groups are more “network-like” than others; and how formal network concepts and analytic methods may facilitate the study of a number of salient problems in business-group research. Much of the business-group literature treats a firm’s affiliation with a group as an “all or nothing” dichotomy. The network lens, however, forces the analyst to unpack the coarse dichotomy of “group” and “stand-alone” into an array of constituent relations, equivalences, and complementarities, which can in turn be mapped to outcomes such as strategy, operations, and performance. We first consider how attention to such formal network properties as density, connectivity, centrality, and clustering may advance business-group research. We then examine the degree to which a number of group configurations approximate the ideal type “network form”—a leading-edge mode of economic organization in the global economy.

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45

Analysis of Network Management Protocols in Optical Networks. Storming Media, 2004.

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46

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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47

Zweig, Katharina A. Network Analysis Literacy: A Practical Approach to the Analysis of Networks. Springer, 2018.

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48

Zweig, Katharina A. Network Analysis Literacy: A Practical Approach to the Analysis of Networks. Springer, 2016.

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49

Kinsella, David, and Alexander H. Montgomery. Arms Supply and Proliferation Networks. Edited by Jennifer Nicoll Victor, Alexander H. Montgomery, and Mark Lubell. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780190228217.013.33.

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Network analyses of global and regional arms flows (including small arms and light weapons, major conventional weapons, and weapons of mass destruction) and related international insecurity and criminality have so far been limited. Yet the literature contains hypotheses that could be explored or tested using network analysis. This chapter discusses supply and demand effects, structural tradeoffs between security and efficiency, pressures to become more or less centralized, and the effects of geography and other network layers. It concludes by reviewing existing data sets and analyses and gauges the potential for network analysis to inform the study of arms transfer networks. Given the general import of these networks for both security studies and policy, there should be a renaissance in the study of arms supply and proliferation networks.

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50

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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