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Books on the topic 'Dynamics network'

Author: Grafiati

Published: 9 March 2023

Last updated: 10 March 2023

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1

Taylor, J. G., E. R. Caianiello, R. M. J. Cotterill, and J. W. Clark, eds. Neural Network Dynamics. London: Springer London, 1992. http://dx.doi.org/10.1007/978-1-4471-2001-8.

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2

Peter, Naudé, and Turnbull Peter W, eds. Network dynamics in international marketing. Oxford: Pergamon, 1998.

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3

Dolgui, Alexandre, Dmitry Ivanov, and Boris Sokolov, eds. Supply Network Dynamics and Control. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09179-7.

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4

Menache, Ishai. Network games: Theory, models, and dynamics. San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA): Morgan & Claypool, 2011.

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5

W, Sandberg I., ed. Nonlinear dynamical systems: Feedforward neural network perspectives. New York: John Wiley, 2001.

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6

Abergel, Frédéric, Bikas K. Chakrabarti, Anirban Chakraborti, and Asim Ghosh, eds. Econophysics of Systemic Risk and Network Dynamics. Milano: Springer Milan, 2013. http://dx.doi.org/10.1007/978-88-470-2553-0.

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7

A, Dyker David, ed. Network dynamics in emerging regions of Europe. New Jersey: World Scientific, 2010.

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8

A, Dyker David, ed. Network dynamics in emerging regions of Europe. New Jersey: World Scientific, 2010.

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9

Grewal, David Singh. Network power: The social dynamics of globalization. New Haven: Yale University Press, 2008.

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10

Grewal, David Singh. Network power: The social dynamics of globalization. New Haven: Yale University Press, 2008.

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11

Grewal, David Singh. Network power: The social dynamics of globalization. New Haven: Yale University Press, 2008.

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12

Grewal, David Singh. Network power: The social dynamics of globalization. New Haven: Yale University Press, 2008.

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13

Horst, Bunke, ed. A graph-theoretic approach to enterprise network dynamics. Boston: Birkhäuser, 2007.

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14

Aura, Reggiani, and Nijkamp Peter, eds. Spatial dynamics, networks and modelling. Cheltenham, UK: Edward Elgar, 2006.

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15

Pernice, Volker. The relevance of network micro-structure for neural dynamics. Freiburg: Universität, 2013.

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16

Parikh, J. C. Dynamics of inflation in India: A neural network approach. Mumbai: Dept. of Economic Analysis and Policy, Reserve Bank of India, 1998.

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17

Parikh, J. C. Dynamics of inflation in India: A neural network approach. Mumbai: Dept. of Economic Analysis and Policy, Reserve Bank of India, 1998.

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18

Parikh, J. C. Dynamics of inflation in India: A neural network approach. Mumbai: Dept. of Economic Analysis and Policy, Reserve Bank of India, 1998.

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19

Choo, Kiam. Learning hyperparameters for neural network models using Hamiltonian dynamics. Ottawa: National Library of Canada, 2000.

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20

Valk, Tessa van der. Technology dynamics, network dynamics and partnering: The case of Dutch dedicated life sciences firms. Utrecht: Koninklijk Nederlands Aardrijkskundig Genootschap, 2006.

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21

Technology dynamics, network dynamics and partnering: The case of Dutch dedicated life sciences firms. Utrecht: Koninklijk Nederlands Aardrijkskundig Genootschap, 2007.

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22

L, Kocarev, and Vattay G, eds. Complex dynamics in communication networks. Berlin ; New York: Springer, 2005.

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23

Watts, Duncan J. Small worlds: The dynamics of networks between order and randomness. Princeton, N.J: Princeton University Press, 1999.

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24

Taylor, J. G. Neural Network Dynamics: Proceedings of the Workshop on Complex Dynamics in Neural Networks, June 17-21 1991 at IIASS, Vietri, Italy. London: Springer London, 1992.

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25

Guzman, Mark G. Accounting for fluctuations in social network usage and migration dynamics. [Dallas, Tx.]: Federal Reserve Bank of Dallas, 2004.

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26

Collinson, Mark. The dynamics of migration, health and livelihoods: INDEPTH Network perspectives. Farngham, Surrey, England: Ashgate, 2009.

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27

Collinson, Mark. The dynamics of migration, health, and livelihoods: Indepth network perspectives. Burlington, VT: Ashgate, 2009.

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28

The dynamics of migration, health and livelihoods: INDEPTH Network perspectives. Farngham, Surrey, England: Ashgate, 2009.

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29

Hovmand, Peter S. Community based system dynamics. New York: Springer, 2014.

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30

Social dynamics 2.0: researching change in times of media convergence: Case studies from the Middle East and Asia. Berlin: Frank & Timme, 2011.

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31

Network structures and the Internet: Collective social dynamics in virtual communities. Amherst, NY: Cambria Press, 2008.

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32

Frega, Monica. Neuronal Network Dynamics in 2D and 3D in vitro Neuroengineered Systems. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30237-9.

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33

1932-, Johnsen Eugene C., ed. Social influence network theory: A sociological examination of small group dynamics. Cambridge: Cambridge University Press, 2011.

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34

Sokolov, Boris, Dmitry Ivanov, and Alexandre Dolgui. Supply Network Dynamics and Control. Springer International Publishing AG, 2022.

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35

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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Abstract:

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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36

Williams, Kevin Glen. Network analysis: Applications to team dynamics. 2009.

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37

Madden. Industrial Dynamics of Network Electronic Markets. Elgar Publishing Limited, Edward, 2018.

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38

Agent Based Modelling and Network Dynamics. Oxford University Press, 2016.

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39

Bianconi, Ginestra. The Dynamics on Single Networks. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198753919.003.0003.

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This chapter provides the relevant background on the network dynamics of complex networks formed by just one layer (single networks). Emergent properties of network dynamics are characterized using the framework of phase transitions. The major results on robustness of complex networks, percolation theory and epidemic spreading are presented, revealing the rich interplay between network structure and function. In this context particular emphasis is given to the implications of the scale-free network topology on these dynamical processes. Diffusion processes and synchronization and controllability are characterized on networks, revealing the relevance of spectral properties and peripheral nodes for determining their dynamical behaviour.

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40

Sonnenschein, Bernard. Collective Dynamics in Complex Networks of Noisy Phase Oscillators: Towards Models of Neuronal Network Dynamics. Logos Verlag Berlin, 2016.

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41

Haykin, Simon, Irwin W. Sandberg, James T. Lo, Craig L. Fancourt, and Shigeru Katagiri. Nonlinear Dynamical Systems: Feedforward Neural Network Perspectives. Wiley & Sons, Incorporated, John, 2008.

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42

Econophysics Of Systemic Risk And Network Dynamics. Springer, 2012.

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43

Graen, George B. The “Missing Link” in Managerial Network Dynamics. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780195398793.013.0021.

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44

Dyker, David A. Network Dynamics in Emerging Regions of Europe. IMPERIAL COLLEGE PRESS, 2010. http://dx.doi.org/10.1142/p633.

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45

Grewal, David S. Network Power: The Social Dynamics of Globalization. Yale University Press, 2008.

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46

Chakrabarti, Bikas K., Frédéric Abergel, Anirban Chakraborti, and Asim Ghosh. Econophysics of Systemic Risk and Network Dynamics. Springer, 2014.

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47

Horst, Bunke, Walter D. Wallis, Peter J. Dickinson, and Miro Kraetzl. Graph-Theoretic Approach to Enterprise Network Dynamics. Springer London, Limited, 2006.

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48

Network Power: The Social Dynamics of Globalization. Yale University Press, 2008.

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49

Grewal, David Singh. Network Power: The Social Dynamics of Globalization. Yale University Press, 2009.

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50

Grewal, David Singh. Network Power: The Social Dynamics of Globalization. Yale University Press, 2008.

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