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Books on the topic 'Complex network'

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Author: Grafiati

Published: 4 June 2021

Last updated: 25 May 2024

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1

In, Visarath, and Antonio Palacios. Symmetry in Complex Network Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-662-55545-3.

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2

Lu, Xin Biao. Synchronization in complex networks. New York: Nova Science Publisher's, 2011.

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3

service), SpringerLink (Online, ed. Valuation of Network Effects in Software Markets: A Complex Networks Approach. Heidelberg: Springer-Verlag Berlin Heidelberg, 2010.

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4

1965-, Barthélemy Marc, and Vespignani Alessandro 1965-, eds. Dynamical processes on complex networks. Cambridge: Cambridge University Press, 2009.

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5

Xing, Lizhi. Complex Network-Based Global Value Chain Accounting System. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9264-2.

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6

Gomez-Pilar, Javier. Characterization of Neural Activity Using Complex Network Theory. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-49900-6.

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7

Karamanos, Anastasios. Network embeddedness and the value of complex resources. Cambridge: ESRC Centre for Business Research, University of Cambridge, 2002.

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8

Ukkusuri, Satish V., and Kaan Ozbay, eds. Advances in Dynamic Network Modeling in Complex Transportation Systems. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-6243-9.

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9

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

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10

The structure of complex networks: Theory and applications. New York: Oxford University Press, 2012.

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11

Pardalos, P. M. (Panos M.), 1954- and SpringerLink (Online service), eds. Handbook of Optimization in Complex Networks: Theory and Applications. Boston, MA: Springer US, 2012.

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12

Emarketing strategies for the complex sale. New York: McGraw-Hill, 2010.

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13

Fu za xin xi wang luo xing neng she ji: Design of complex information network performance. Beijing: Zhongguo yu hang chu ban she, 2014.

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14

Niazi, Muaz A. Cognitive Agent-based Computing-I: A Unified Framework for Modeling Complex Adaptive Systems using Agent-based & Complex Network-based Methods. Dordrecht: Springer Netherlands, 2013.

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15

Taxen, Lars. Using activity domain theory for managing complex systems. Hershey, PA: Information Science Reference, 2010.

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16

Taxen, Lars. Using activity domain theory for managing complex systems. Hershey, PA: Information Science Reference, 2010.

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17

IFIP TC6/WG6.3 & WG7.3 International Conference on the Performance and Management of Complex Communication Networks (1997 Tsukuba Kenkyū Gakuen Toshi, Japan). Performance and management of complex communication networks: IFIP TC6/WG6.3 & WG7.3 International Conference on the Performance and Management of Complex Communication Networks : (PMCCN '97) : 17-21 November 1997, Tsukuba Science City, Japan. London: Chapman & Hall, 1998.

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18

Workshop on Complex Dynamics in Neural Networks (1991 Vietri sul Mare, Italy). Neural network dynamics: Proceedings of the Workshop on Complex Neural Networks, June 17-21, 1991 at IIASS, Vietri, Italy. London: Springer-Verlag, 1992.

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19

United States. National Aeronautics and Space Administration., ed. Integration of the White Sands Complex into a wide area network: A technical project report ... Las Cruces, N.M: New Mexico State University, 1996.

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20

Tan, Chee Wei, and YU Pei-duo. Network Inference for Cyber Security in Complex Networks. Springer, 2020.

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21

Grunert, Marcel, Andreas Perrot, and Silke Rickert-Sperling. Complex network interactions: cardiovascular systems biology. Edited by José Maria Pérez-Pomares, Robert G. Kelly, Maurice van den Hoff, José Luis de la Pompa, David Sedmera, Cristina Basso, and Deborah Henderson. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198757269.003.0033.

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A large quantity of molecular information on heart development, function, and disease has been generated over recent decades. However, most recent studies have been dominated by reductionistic approaches, and thus many aspects remain unclear, particularly regarding the primary causes of complex cardiovascular diseases such as congenital heart malformations. With the advent of high-throughput technologies, systems-based approaches have developed rapidly in biology and medicine. In the biology of cardiovascular systems complex data within or across different molecular levels of biological systems or pathways can be integrated and combined to identify the causes underlying cardiac diseases, which might not be possible otherwise. This is in agreement with data suggesting that biological molecules in individual regulatory layers, such as transcripts, proteins, and metabolites, act within networksrather than independently of each other. Thus systems biology provides a promising approach to fully addressing the complexities of congenital heart disease.

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22

Meghanathan, Natarajan. Advanced Methods for Complex Network Analysis. IGI Global, 2016.

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23

Bianconi, Ginestra. Complex Systems as Multilayer Networks. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198753919.003.0001.

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Chapter 1 constitutes Part I of the book: ‘Single and Multilayer Networks’. This chapter introduces multilayer networks as an important new development of Network Science that allows a more comprehensive understanding of Complex Systems. It identifies the main motivations driving the research activity in this field of multilayer networks and emphasizes the benefits of taking a multilayer network perpective to characterize network data. The main advantages of a multilayer network approach with respect to the more traditional single layer characterization of complex networks are broadly discussed, focusing on the information gain resulting from the analysis of multilayer networks, the non-reducibility of a multilayer network to a large single network and the rich interplay between structure and function in multilayer networks.

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24

Lu, Xin Biao. Synchronization in Complex Networks. Nova Science Publishers, Incorporated, 2010.

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25

Vernizzi, Graziano, and Henri Orland. Complex networks. Edited by Gernot Akemann, Jinho Baik, and Philippe Di Francesco. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198744191.013.43.

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This article deals with complex networks, and in particular small world and scale free networks. Various networks exhibit the small world phenomenon, including social networks and gene expression networks. The local ordering property of small world networks is typically associated with regular networks such as a 2D square lattice. The small world phenomenon can be observed in most scale free networks, but few small world networks are scale free. The article first provides a brief background on small world networks and two models of scale free graphs before describing the replica method and how it can be applied to calculate the spectral densities of the adjacency matrix and Laplacian matrix of a scale free network. It then shows how the effective medium approximation can be used to treat networks with finite mean degree and concludes with a discussion of the local properties of random matrices associated with complex networks.

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26

Instant Cytoscape Complex Network Analysis How-To. Packt Publishing, Limited, 2013.

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27

Russo, Giovanni, Vito Latora, and Vincenzo Nicosia. Complex Networks: Principles, Methods and Applications. Cambridge University Press, 2017.

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28

Russo, Giovanni, Vito Latora, and Vincenzo Nicosia. Complex Networks: Principles, Methods and Applications. Cambridge University Press, 2017.

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29

Russo, Giovanni, Vito Latora, and Vincenzo Nicosia. Complex Networks: Principles, Methods and Applications. Cambridge University Press, 2017.

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30

M, Williams T. Managing and Modelling Complex Projects. Springer London, Limited, 2013.

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31

M, Williams T., North Atlantic Treaty Organization. Scientific Affairs Division., and NATO Advanced Research Workshop on Managing and Modelling Complex Projects (1996 : Kiev, Ukraine), eds. Managing and modelling complex projects. Dordrecht: Kluwer Academic Publishers, 1997.

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32

Addressing the Dynamics of Change: Complex Network Analysis. Czech Institute of Egyptology, 2021.

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33

Williams, Terry M. Managing and Modelling Complex Projects. Springer London, Limited, 2011.

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34

Performance Analysis of Complex Networks and Systems. Cambridge University Press, 2014.

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35

Mieghem, Piet Van. Performance Analysis of Complex Networks and Systems. Cambridge University Press, 2014.

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36

Mieghem, Piet Van. Performance Analysis of Complex Networks and Systems. University of Cambridge ESOL Examinations, 2014.

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37

Handbook Of Optimization In Complex Networks Communication And Social Networks. Springer, 2011.

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38

Estrada, Ernesto. Structure of Complex Networks: Theory and Applications. Oxford University Press, 2011.

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39

Estrada, Ernesto. Structure of Complex Networks: Theory and Applications. Oxford University Press, 2016.

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40

Diday, Edwin, Gilbert Saporta, Rong Guan, and Huiwen Wang. Advances in Data Science: Symbolic, Complex, and Network Data. Wiley & Sons, Incorporated, John, 2020.

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41

Ozbay, Kaan, and Satish V. Ukkusuri. Advances in Dynamic Network Modeling in Complex Transportation Systems. Springer, 2015.

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42

Cooperative Control of Complex Network Systems with Dynamic Topologies. Taylor & Francis Group, 2021.

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43

Yu, Wenwu, Peijun Wang, Guanghui Wen, and Yuezu Lv. Cooperative Control of Complex Network Systems with Dynamic Topologies. Taylor & Francis Group, 2021.

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44

Ozbay, Kaan, and Satish V. Ukkusuri. Advances in Dynamic Network Modeling in Complex Transportation Systems. Springer, 2013.

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45

Diday, Edwin, Gilbert Saporta, Rong Guan, and Huiwen Wang. Advances in Data Science: Symbolic, Complex, and Network Data. Wiley & Sons, Incorporated, John, 2020.

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46

Diday, Edwin, Gilbert Saporta, Rong Guan, and Huiwen Wang. Advances in Data Science: Symbolic, Complex, and Network Data. Wiley & Sons, Incorporated, John, 2020.

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47

Ozbay, Kaan, and Satish V. Ukkusuri. Advances in Dynamic Network Modeling in Complex Transportation Systems. Springer, 2013.

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48

Diday, Edwin, Gilbert Saporta, Rong Guan, and Huiwen Wang. Advances in Data Science: Symbolic, Complex, and Network Data. Wiley & Sons, Incorporated, John, 2020.

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49

Yu, Wenwu, Peijun Wang, Guanghui Wen, and Yuezu Lv. Cooperative Control of Complex Network Systems with Dynamic Topologies. Taylor & Francis Group, 2021.

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50

Ozbay, Kaan, and Satish V. Ukkusuri. Advances in Dynamic Network Modeling in Complex Transportation Systems. Springer London, Limited, 2013.

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