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Libros sobre el tema "Behaviour network"

Autor: Grafiati
Publicado: 4 de junio de 2021
Última modificación: 4 de febrero de 2022

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1

Strategic behaviour in network industries: A multidisciplinary approach. Cheltenham, Glos, UK: Edward Elgar, 2009.

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2

Souloglou, Adonis. Marketing communication strategies and buyer behaviour: the hub segment of the European local area network market. Manchester: UMIST, 1995.

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3

Schreckenberg, Michael. Human Behaviour and Traffic Networks. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004.

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4

Schreckenberg, Michael y Reinhard Selten, eds. Human Behaviour and Traffic Networks. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-07809-9.

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5

Omohundro, Stephen M. Efficient algorithms with neural network behavior. Urbana, Il (1304 W. Springfield Ave., Urbana 61801): Dept. of Computer Science, University of Illinois at Urbana-Champaign, 1987.

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6

1972-, Ghirlanda Stefano, ed. Neural networks and animal behavior. Princeton: Princeton University Press, 2005.

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7

Josić, Kres̆imir. Coherent behavior in neuronal networks. New York: Springer, 2009.

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8

Selverston, Allen I., ed. Model Neural Networks and Behavior. Boston, MA: Springer US, 1985. http://dx.doi.org/10.1007/978-1-4757-5858-0.

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9

Josic, Kre¿imir, Jonathan Rubin, Manuel Matias y Ranulfo Romo, eds. Coherent Behavior in Neuronal Networks. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/978-1-4419-0389-1.

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10

International Society for Invertebrate Neurobiology. Symposium. Neurobiology of invertebrates: Signal molecules, networks, behaviour. Budapest: Akadémiai Kiadó, 1993.

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11

Håkansson, Håkan. Corporate technological behaviour: Co-operation and networks. London: Routledge, 1989.

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12

1964-, James Richard y Krause Jens Dr, eds. Exploring animal social networks. Princeton, N.J: Princeton University Press, 2008.

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13

Chaibundit, C. The gelation behaviour of thiol-based polymer networks. Manchester: UMIST, 1997.

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14

Cetin, Nihat S. Characterisation of the deformational behaviour of fibrous networks. Manchester: UMIST, 1996.

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15

Gordon, Deborah. Ant encounters: Interaction networks and colony behavior. Princeton, N.J: Princeton University Press, 2010.

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16

Ant encounters: Interaction networks and colony behavior. Princeton, N.J: Princeton University Press, 2010.

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17

Chen, Yan y H. Vicky Zhao. Behavior and Evolutionary Dynamics in Crowd Networks. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-7160-2.

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18

1981-, Lin W. Sabrina y Liu, K. J. Ray, 1961-, eds. Behavior dynamics in media-sharing social networks. Cambridge: Cambridge University Press, 2011.

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19

Czuczman, Kate. A networked research approach: A guide to conducting research in a network setting. London: IFRT, 2006.

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20

Spagnolo, Paolo, Pier Luigi Mazzeo y Cosimo Distante, eds. Human Behavior Understanding in Networked Sensing. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10807-0.

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21

Yan, Zheng. Encyclopedia of cyber behavior. Hershey, PA: Information Science Reference, 2012.

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22

Golès, E. Neural and Automata Networks: Dynamical Behavior and Applications. Dordrecht: Springer Netherlands, 1990.

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23

Servet, Martínez, ed. Neural and automata networks: Dynamical behavior and applications. Dordrecht: Kluwer Academic, 1990.

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24

The social citizen: Peer networks and political behavior. Chicago: The University of Chicago Press, 2012.

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25

Santangelo, Antonio. Brain network and cultural shape. Milano, Italy: La Pietra, 1995.

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26

Santangelo, Antonio. Brain network and cultural shape. Milano, Italy: La Pietra, 1995.

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27

Wenpin, Tsai, ed. Social networks and organizations. London: SAGE, 2003.

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28

Social Behaviour and Network Therapy Manual. Routledge, 2006.

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29

Social Behaviour and Network Therapy Manual. Routledge, 2006.

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30

Zaraket, Sarah. Consumer Behaviour and Social Network Sites. Routledge, 2020. http://dx.doi.org/10.4324/9781003081272.

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31

Social networks and travel behaviour. Ashgate, 2015.

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32

Social behaviour and network therapy for alcohol problems. Hove, East Sussex: Routledge, 2009.

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33

Copello, Alex. Social Behaviour and Network Therapy for Alcohol Problems. Routledge, 2009. http://dx.doi.org/10.4324/9780203872888.

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34

Pirker, Johanna. Social Network Analysis in Games User Research. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198794844.003.0029.

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This chapter is an introduction to social network analysis with a focus in the context of player and in-game data. An overview of the key elements for network analysis is presented along with a discussion of the possibilities that can be realized through the use of networks and advice on using networks for Games User Research to understand player behaviour in a social context.
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35

Jeanes, Emma. A Dictionary of Organizational Behaviour. Oxford University Press, 2019. http://dx.doi.org/10.1093/acref/9780191843273.001.0001.

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Over 300 entries This accessible dictionary provides authoritative definitions of terms in the field of organizational behaviour. Coverage spans ethics, stress and well-being, teamwork, leadership, and management knowledge. Including entries on key terms such as actor-network theory, iron cage, organizational space, and work–life balance, the dictionary encapsulates the different perspectives and concepts that make up organizational behaviour in one easy-to-use resource. With additional features including a guide to further reading and recommended websites, it will be an invaluable resource for students, lecturers, and business professionals, and serve as a useful supplement to the dictionaries of Business and Management, Human Resource Management, Marketing, and Psychology.
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36

International Research Network on Organizing by Projects (IRNOP) 2017. Broadway: UTS ePRESS, 2017.

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37

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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38

Groenewegen, Peter, John Mohr, Stephen P. Borgatti, Julie E. Ferguson y Christine Moser. Structure, Content and Meaning of Organizational Networks: Extending Network Thinking. Emerald Publishing Limited, 2017.

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39

Groenewegen, Peter, John Mohr, Stephen P. Borgatti, Julie E. Ferguson y Christine Moser. Structure, Content and Meaning of Organizational Networks: Extending Network Thinking. Emerald Publishing Limited, 2017.

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40

Groenewegen, Peter, John Mohr, Stephen P. Borgatti, Julie E. Ferguson y Christine Moser. Structure, Content and Meaning of Organizational Networks: Extending Network Thinking. Emerald Publishing Limited, 2017.

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41

Stemmer, Brigitte. Neuropragmatics. Editado por Yan Huang. Oxford University Press, 2013. http://dx.doi.org/10.1093/oxfordhb/9780199697960.013.003.

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This essay summarizes the findings of studies investigating aspects of linguistic pragmatic behaviour and the brain correlates underlying such behaviour. Although pragmatics is a large field, most brain-oriented studies have focused on specific aspects of linguistic pragmatics such as structural discourse and figurative language. Research indicates that linguistic pragmatic behaviour relies on brain correlates that are routinely activated during word and sentence processing (the default language network). Although no agreement has yet been reached concerning questions such as whether these correlates are qualitatively and/or quantitatively different, whether additional brain areas/networks are implicated, and, if so, what these are, some concrete suggestions have emerged. At a more general level, there is consensus that the classical standard pragmatic model is not supported by most neuroimaging studies and that the right-hemisphere hypothesis on figurative language processing needs revision. The essay ends with some speculations on interpreting pragmatic behaviour within a microgenetic framework.
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42

Brass, Daniel J. A Social Network Perspective on Organizational Citizenship Behavior. Editado por Philip M. Podsakoff, Scott B. Mackenzie y Nathan P. Podsakoff. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780190219000.013.25.

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This chapter provides a brief general primer on social network theory and how it might be applied to organizational citizenship behavior (OCB) as an alternative perspective to the undersocialized (isolated individual) and oversocialized (norm and culture) views of behavior in organizations. I identify social network relationships that are likely to affect the performance and receipt of OCBs and propose a model of the diffusion of OCBs through an organization, noting differences between organizational networks such as cliques and core-periphery structures. In the process, I attempt to identify research questions that may be of interest to both academics and managers. The overarching goal is to provide readers with enough information to apply a social network perspective to OCB.
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43

Michael, Schreckenberg y Selten Reinhard, eds. Human behaviour and traffic networks. Berlin: Springer, 2004.

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44

Kowald, Matthias. Social Networks and Travel Behaviour. Routledge, 2016. http://dx.doi.org/10.4324/9781315609560.

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45

Berardo, Ramiro, Isabella Alcañiz, Jennifer Hadden y Lorien Jasny. Networks and the Politics of the Environment. Editado por Jennifer Nicoll Victor, Alexander H. Montgomery y Mark Lubell. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780190228217.013.26.

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This chapter surveys recent research that utilizes the measures and techniques of social network analysis (SNA) to explain socioecological outcomes. The chapter focuses on the role of key characteristics of networks—including density and fragmentation, bonding and bridging social capital, brokerage and leadership—in promoting adaptive governance and co-management, and in turn, successful environmental management outcomes. It argues that network structures affect the ability of actors to coordinate their behavior, cooperate with one another, share information, and adapt their behavior to new circumstances. The chapter concludes by discussing limitations and future directions for research, drawing attention to the need for more work integrating ecological and social networks, comparative SNA, and analyses of network formation and evolution.
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46

Spagnolo, Paolo, Cosimo Distante y Pier Luigi Mazzeo. Human Behavior Understanding in Networked Sensing: Theory and Applications of Networks of Sensors. Springer, 2014.

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47

Spagnolo, Paolo, Cosimo Distante y Pier Luigi Mazzeo. Human Behavior Understanding in Networked Sensing: Theory and Applications of Networks of Sensors. Springer, 2016.

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48

Enquist, Magnus y Stefano Ghirlanda. Neural Networks and Animal Behavior. Princeton University Press, 2013.

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49

I, Selverston Allen, ed. Model neural networks and behavior. New York: Plenum Press, 1985.

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50

Enquist, Magnus y Stefano Ghirlanda. Neural Networks and Animal Behavior. Princeton University Press, 2013.

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