Relevant bibliographies by topics / Complex network

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Complex network'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Complex network"

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Guillaume, Jean-Loup, and Matthieu Latapy. "Complex Network Metrology." Complex Systems 16, no. 1 (2005): 83–94. http://dx.doi.org/10.25088/complexsystems.16.1.83.

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In order to study complex networks like the Internet, the World Wide Web, social networks, or biological networks, one first has to explore them. This gives a partial and biased view of the real object, which is generally assumed to be representative of the whole. However, until now nobody knows how and how much the measure influences the results. Using the example of the Internet and a rough model of its exploration process, we show that the way a given complex network is explored may strongly influence the observed properties. This leads us to argue for the necessity of developing a science
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Hu, Ziping, Krishnaiyan Thulasiraman, and Pramode K. Verma. "Complex Networks: Traffic Dynamics, Network Performance, and Network Structure." American Journal of Operations Research 03, no. 01 (2013): 187–95. http://dx.doi.org/10.4236/ajor.2013.31a018.

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Tan, Yangxin, Junlin Wu, and Qing Zhong. "Complex network." Journal of Physics: Conference Series 1601 (July 2020): 032011. http://dx.doi.org/10.1088/1742-6596/1601/3/032011.

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Xu, Shuai, and Bai Da Zhang. "Complex Network Model and its Application." Advanced Materials Research 791-793 (September 2013): 1589–92. http://dx.doi.org/10.4028/www.scientific.net/amr.791-793.1589.

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Human life is in a complex network world. In everyday life, the network can be a physical object such as the Internet, power network, road network and neural network; can also abstract not touch, such as interpersonal networks, networks of co-operation in scientific research, product supply chain network, biological populations, networks, etc.. The topology of these networks, the statistical characteristics and the formation mechanism, and so on, has a very important significance for the efficient allocation of resources, provides various functions, as well as the stability of the network, how
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Asbaş, Caner, Zühal Şenyuva, and Şule Tuzlukaya. "New Organizations in Complex Networks: Survival and Success." Central European Management Journal 30, no. 1 (2022): 11–39. http://dx.doi.org/10.7206/cemj.2658-0845.68.

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Purpose: The present study investigates the survival and success of new organizations in the light of complex network theory. Methodology: The empirical data was collected using the survey method from the technology park companies are analyzed with social network analysis. Two main methods were used in this study: descriptive statistics and social network analysis. Findings: The findings indicate that new nodes appearing because of splitting up of bigger nodes from present or other related networks have a higher degree of centrality. In practice, this means that companies founded by former mem
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Abe, S., and N. Suzuki. "Complex-network description of seismicity." Nonlinear Processes in Geophysics 13, no. 2 (2006): 145–50. http://dx.doi.org/10.5194/npg-13-145-2006.

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Abstract. The seismic data taken in California and Japan are mapped to growing random networks. It is shown in the undirected network picture that these earthquake networks are scale-free and small-work networks with the power-law connectivity distributions, the large values of the clustering coefficient, and the small values of the average path length. It is demonstrated how the present network approach reveals complexity of seismicity in a novel manner.
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Maciá-Pérez, Francisco, Iren Lorenzo-Fonseca, Jose Vicente Berná-Martinez, and Jose Manuel Sánchez-Bernabeu. "Conceptual Modelling of Complex Network Management Systems." Journal of Computers 10, no. 5 (2015): 309–20. http://dx.doi.org/10.17706/jcp.10.5.309-320.

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Guo, Dong Wei, Xiang Yan Meng, and Cai Fang Hou. "Building Complex Network Similar to Facebook." Applied Mechanics and Materials 513-517 (February 2014): 909–13. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.909.

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Social networks have been developed rapidly, especially for Facebook which is very popular with 10 billion users. It is a considerable significant job to build complex network similar to Facebook. There are many modeling methods of complex networks but which cant describe characteristics similar to Facebook. This paper provide a building method of complex networks with tunable clustering coefficient and community strength based on BA network model to imitate Facebook. The strategies of edge adding based on link-via-triangular, link-via-BA and link-via-type are used to build a complex network w
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Sun, Yan, Haixing Zhao, Jing Liang, and Xiujuan Ma. "Eigenvalue-based entropy in directed complex networks." PLOS ONE 16, no. 6 (2021): e0251993. http://dx.doi.org/10.1371/journal.pone.0251993.

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Entropy is an important index for describing the structure, function, and evolution of network. The existing research on entropy is primarily applied to undirected networks. Compared with an undirected network, a directed network involves a special asymmetric transfer. The research on the entropy of directed networks is very significant to effectively quantify the structural information of the whole network. Typical complex network models include nearest-neighbour coupling network, small-world network, scale-free network, and random network. These network models are abstracted as undirected gr
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Wang, Lifu, Yali Zhang, Jingxiao Han, and Zhi Kong. "Quantitative Controllability Index of Complex Networks." Advances in Mathematical Physics 2018 (October 22, 2018): 1–9. http://dx.doi.org/10.1155/2018/2586536.

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In this paper, the controllability issue of complex network is discussed. A new quantitative index using knowledge of control centrality and condition number is constructed to measure the controllability of given networks. For complex networks with different controllable subspace dimensions, their controllability is mainly determined by the control centrality factor. For the complex networks that have the equal controllable subspace dimension, their different controllability is mostly determined by the condition number of subnetworks’ controllability matrix. Then the effect of this index is an
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Dissertations / Theses on the topic "Complex network"

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Lordan, Oriol. "Airline route networks : a complex network approach." Doctoral thesis, Universitat Politècnica de Catalunya, 2014. http://hdl.handle.net/10803/144526.

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Communication via air routes is an important issue in a world organized around a web-like city network. In this context, the robustness of network infrastructures, e.g. air transport networks, are a central issue in transport geography. Disruption of communication links by intentional causes (e.g., terrorist attack on an airport) or unintentional (e.g., weather inclemency) could be a serious drawback for countries, regions and airlines. Policymakers and the management of airlines and alliances should be able to reduce the effects of such interruptions in order to ensure good communication thro
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Khorramzadeh, Yasamin. "Network Reliability: Theory, Estimation, and Applications." Diss., Virginia Tech, 2015. http://hdl.handle.net/10919/64383.

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Network reliability is the probabilistic measure that determines whether a network remains functional when its elements fail at random. Definition of functionality varies depending on the problem of interest, thus network reliability has much potential as a unifying framework to study a broad range of problems arising in complex network contexts. However, since its introduction in the 1950's, network reliability has remained more of an interesting theoretical construct than a practical tool. In large part, this is due to well-established complexity costs for both its evaluation and approximati
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Arulselvan, Ashwin. "Complex network assortment and modeling." [Gainesville, Fla.] : University of Florida, 2006. http://purl.fcla.edu/fcla/etd/UFE0014925.

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Jiang, Jian. "Modeling of complex network, application to road and cultural networks." Phd thesis, Université du Maine, 2011. http://tel.archives-ouvertes.fr/tel-00691129.

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Many complex systems arising from nature and human society can be described as complex networks. In this dissertation, on the basis of complex network theory, we pay attention to the topological structure of complex network and the dynamics on it. We established models to investigate the influences of the structure on the dynamics of networks and to shed light on some peculiar properties of complex systems. This dissertation includes four parts. In the first part, the empirical properties (degree distribution, clustering coefficient, diameter, and characteristic path length) of urban road netw
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Pimenta, Mayra Mercedes Zegarra. "Self-organization map in complex network." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-30102018-111955/.

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The Self-Organization Map (SOM) is an artificial neural network that was proposed as a tool for exploratory analysis in large dimensionality data sets, being used efficiently for data mining. One of the main topics of research in this area is related to data clustering applications. Several algorithms have been developed to perform clustering in data sets. However, the accuracy of these algorithms is data depending. This thesis is mainly dedicated to the investigation of the SOM from two different approaches: (i) data mining and (ii) complex networks. From the data mining point of view, we ana
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Kim, Hyoungshick. "Complex network analysis for secure and robust communications." Thesis, University of Cambridge, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.610134.

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Al-Musawi, Ahmad Jr. "COMPLEX NETWORK GROWING MODEL USING DOWNLINK MOTIFS." VCU Scholars Compass, 2013. http://scholarscompass.vcu.edu/etd/3088.

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Understanding the underlying architecture of gene regulatory networks (GRNs) has been one of the major goals in systems biology and bioinformatics as it can provide insights in disease dynamics and drug development. Such GRNs are characterized by their scale-free degree distributions and existence of network motifs, which are small subgraphs of specific types and appear more abundantly in GRNs than in other randomized networks. In fact, such motifs are considered to be the building blocks of GRNs (and other complex networks) and they help achieve the underlying robustness demonstrated by most
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Silva, Diamantino Castanheira da. "Complex network view of envolving manifolds." Master's thesis, Universidade de Aveiro, 2016. http://hdl.handle.net/10773/21652.

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Mestrado em Física<br>Neste estudo investigamos redes complexas formadas por triangulações de variedades topológicas em evolução, localmente homeomórficas a um plano. O conjunto de transformações dessas redes é restringida pela condição de que a cada passo todas as faces se mantenham triangulares. Neste trabalho adotamos duas abordagens principais. Na primeira abordagem crescemos variedades usando várias regras simples, que progressivamente adicionam novos triângulos. Na outra abordagem relaxamos a estrutura de variedades grandes, mantendo o número de triângulos constante. As redes re
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Bertagnolli, Giulia. "Modelling the process-driven geometry of complex networks." Doctoral thesis, Università degli studi di Trento, 2022. http://hdl.handle.net/11572/346519.

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Graphs are a great tool for representing complex physical and social systems, where the interactions among many units, from tens of animal species in a food-web, to millions of users in a social network, give rise to emergent, complex system behaviours. In the field of network science this representation, which is usually called a complex network, can be complicated at will to better represent the real system under study. For instance, interactions may be directed or may differ in their strength or cost, leading to directed weighted networks, but they may also depend on time, like in temporal
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Haschke, Robert. "Bifurcations in discrete time neural networks : controlling complex network behaviour with inputs." kostenfrei, 2004. http://deposit.ddb.de/cgi-bin/dokserv?idn=973184663.

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Books on the topic "Complex network"

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

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

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

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

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

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

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

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

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L, Kocarev, and Vattay G, eds. Complex dynamics in communication networks. Springer, 2005.

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

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Book chapters on the topic "Complex network"

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Fantoni, S. "Sustainability Complex Network." In Quantitative Sustainability. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-39311-2_1.

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AbstractWe introduce the concept of quantitative evaluation of a complex network made up of researchers operating in different disciplines and different sectors belonging to life and hard sciences or social science and humanities or industrial and entrepreneurial activities, which, in addition to their disciplinary research, interact within each other in interdisciplinary scientific collaborations on sustainability projects. The complex network that we consider in this paper is of the small-world type, which has been already used in the study of several other biological, technological and soci
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Ginsparg, Paul. "Scholarly Information Network." In Complex Networks. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-44485-5_15.

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Kamiński, Bogumił, Paweł Prałat, and François Théberge. "Network Robustness." In Mining Complex Networks. Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9781003218869-10.

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Ivanov, Plamen Ch, and Ronny P. Bartsch. "Network Physiology: Mapping Interactions Between Networks of Physiologic Networks." In Understanding Complex Systems. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-03518-5_10.

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Slingerland, Willeke. "Social Capital, Corrupt Networks, and Network Corruption." In Understanding Complex Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-81484-7_2.

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Cook, Andrew, and Massimiliano Zanin. "Complex Network Theory." In Complexity Science in Air Traffic Management. Routledge, 2016. http://dx.doi.org/10.4324/9781315573205-2.

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Zhang, Weiqi, and Dmitry Zinoviev. "Complex Network Analysis." In Introduction to Quantitative Social Science with Python. Chapman and Hall/CRC, 2024. http://dx.doi.org/10.1201/9781003327899-7.

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Kuikka, Vesa. "Subsystem Cooperation in Complex Networks - Case Brain Network." In Complex Networks XI. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-40943-2_14.

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Brandes, Ulrik, Jürgen Lerner, Uwe Nagel, and Bobo Nick. "Structural Trends in Network Ensembles." In Complex Networks. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01206-8_8.

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Farkas, Illés, Imre Derényi, Gergely Palla, and Tamás Vicsek. "Equilibrium Statistical Mechanicsof Network Structures." In Complex Networks. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-44485-5_8.

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Conference papers on the topic "Complex network"

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Jihad, Kilani, Karmaoui Idrissi Hamza, Yassine El Yamani, Bensalah Faycal, and Youssef Baddi. "Study and Evaluation of Network Security Strategies in SDN Networks." In 2024 World Conference on Complex Systems (WCCS). IEEE, 2024. https://doi.org/10.1109/wccs62745.2024.10765546.

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Kumar, S. Vinod, Anurag Shrivastava, Aravinda K, Lavish Kansal, Ravi Kalra, and Hawraa Ali Sabah. "Leveraging Graph Neural Networks for Complex Network Traffic Signal Processing." In 2024 International Conference on Trends in Quantum Computing and Emerging Business Technologies (TQCEBT). IEEE, 2024. http://dx.doi.org/10.1109/tqcebt59414.2024.10545165.

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Luo, Xiao, Shuang Zhou, Yufang Zheng, Xiaoyan Han, Yichao Cao, and Wenjie Ding. "Research on Valve Network Model for Complex Industrial Pipeline Networks." In The International Conference on Data Mining, E-Learning, and Information Systems. SCITEPRESS - Science and Technology Publications, 2024. http://dx.doi.org/10.5220/0012978300004536.

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Matsumoto, Masakazu, Akinori Baba, Iwao Ohmine, Michio Tokuyama, Irwin Oppenheim, and Hideya Nishiyama. "Network Motif of Water." In COMPLEX SYSTEMS: 5th International Workshop on Complex Systems. AIP, 2008. http://dx.doi.org/10.1063/1.2897788.

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Haley, Brandon M., Andy Dong, and Irem Y. Tumer. "Creating Faultable Network Models of Complex Engineered Systems." In ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/detc2014-34407.

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This paper presents a new methodology for modeling complex engineered systems using complex networks for failure analysis. Many existing network-based modeling approaches for complex engineered systems “abstract away” the functional details to focus on the topological configuration of the system and thus do not provide adequate insight into system behavior. To model failures more adequately, we present two types of network representations of a complex engineered system: a uni-partite architectural network and a weighted bi-partite behavioral network. Whereas the architectural network describes
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Yang, Chun-Lin, and C. Steve Suh. "On the Proper Description of Complex Network Dynamics." In ASME 2018 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/imece2018-88051.

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Real-world networks are dynamical complex network systems. The dynamics of a network system is a coupling of the local dynamics with the global dynamics. The local dynamics is the time-varying behaviors of ensembles at the local level. The global dynamics is the collective behavior of the ensembles following specific laws at the global level. These laws include basic physical principles and constraints. Complex networks have inherent resilience that offsets disturbance and maintains the state of the system. However, when disturbance is potent enough, network dynamics can be perturbed to a leve
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Small, Michael, Kevin Judd, and Linjun Zhang. "How is that complex network complex?" In 2014 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 2014. http://dx.doi.org/10.1109/iscas.2014.6865372.

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Yang, Chun-Lin, and C. Steve Suh. "On the Dynamics of Complex Network." In ASME 2017 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/imece2017-71994.

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Controlling complex network systems is challenging because network systems are highly coupled by ensembles and behaving with uncertainty. A network is composed by nodes and edges. Edges serve as the connection between nodes to exchange state information and further achieve state consensus. Through edges, the dynamics of individual nodes at the local level intimately affects the network dynamics at the global level. As a following bird can occasionally lose visual contact with the target bird in a flock at any moment, the edge between two nodes in a real world network systems is not necessarily
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Wlassova, L. N. "Network data base of physical technologies." In Modeling complex systems. AIP, 2001. http://dx.doi.org/10.1063/1.1386859.

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Qin, Lang, Ling Zhou, and Jar-Der Luo. "Complex network perspective on network dynamics." In the First ACM International Workshop. ACM Press, 2012. http://dx.doi.org/10.1145/2392622.2392632.

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Reports on the topic "Complex network"

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Bailey, D. J. Nuclear weapons complex network management overview. Office of Scientific and Technical Information (OSTI), 1989. http://dx.doi.org/10.2172/6295252.

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Warnick, Sean, and Daniel Zappala. Analysis and Design of Complex Network Environments. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada596289.

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Warnick, Sean, and Daniel Zappala. Analysis and Design of Complex Network Environments. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada557240.

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DeMar, Phil. Complex Network Analysis and Intelligent Monitoring Platform. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1827370.

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Soloviev, Vladimir, Victoria Solovieva, Anna Tuliakova, Alexey Hostryk, and Lukáš Pichl. Complex networks theory and precursors of financial crashes. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/4119.

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Based on the network paradigm of complexity in the work, a systematic analysis of the dynamics of the largest stock markets in the world and cryptocurrency market has been carried out. According to the algorithms of the visibility graph and recurrence plot, the daily values of stock and crypto indices are converted into a networks and multiplex networks, the spectral and topological properties of which are sensitive to the critical and crisis phenomena of the studied complex systems. This work is the first to investigate the network properties of the crypto index CCI30 and the multiplex networ
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Parekh, Ojas D., Jeremy D. Wendt, Luke Shulenburger, Andrew J. Landahl, Jonathan Edward Moussa, and John B. Aidun. Benchmarking Adiabatic Quantum Optimization for Complex Network Analysis. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1459086.

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Goldsmith, Andrea J., Stephen Boyd, H. V. Poor, and Yonina Eldar. Complex Network Information Exchange in Random Wireless Environments. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada576751.

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Delgado Alonso, Jesus. Geochemical Monitoring System and Network for Complex Subsurface Matrices. Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1576600.

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Gureck, W. S. Network Centric Warfare and Complex Humanitarian Emergencies, Meet Napster! Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada389857.

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Bielinskyi, Andrii O., and Vladimir N. Soloviev. Complex network precursors of crashes and critical events in the cryptocurrency market. [б. в.], 2018. http://dx.doi.org/10.31812/123456789/2881.

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This article demonstrates the possibility of constructing indicators of critical and crash phenomena in the volatile market of cryptocurrency. For this purpose, the methods of the theory of complex networks have been used. The possibility of constructing dynamic measures of network complexity behaving in a proper way during actual pre-crash periods has been shown. This fact is used to build predictors of crashes and critical events phenomena on the examples of all the patterns recorded in the time series of the key cryptocurrency Bitcoin, the effectiveness of the proposed indicators-precursors
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