Готові списки джерел за темами / New Weighted Complex Network

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Добірка наукової літератури з теми "New Weighted Complex Network"

Автор: Grafiati
Опубліковано: 10 січня 2023
Оновлено: 31 липня 2025

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Статті в журналах з теми "New Weighted Complex Network"

1

WANG, XUTAO, HONGTAO LU, and GUANRONG CHEN. "THE MODELLING OF WEIGHTED COMPLEX NETWORKS." International Journal of Modern Physics B 21, no. 16 (2007): 2813–20. http://dx.doi.org/10.1142/s0217979207037399.

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Анотація:
In order to further explore the mechanism responsible for weighted complex networks, we introduce a new model that incorporates the network topology and the weights' dynamical evolutions. Our model can capture the details of weight dynamics caused not only by the addition of a new node with new links and new links between old nodes, but also the deletion of old links. We calculate analytically the distributions of both degree and strength and found that all these distributions show scale-free behavior, as confirmed in many real networks. Thus our model characterizes the real weighted complex n
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2

Nguyen, Quang, Ngoc-Kim-Khanh Nguyen, Davide Cassi, and Michele Bellingeri. "New Betweenness Centrality Node Attack Strategies for Real-World Complex Weighted Networks." Complexity 2021 (October 15, 2021): 1–17. http://dx.doi.org/10.1155/2021/1677445.

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Анотація:
In this work, we introduce a new node attack strategy removing nodes with the highest conditional weighted betweenness centrality (CondWBet), which combines the weighted structure of the network and the node’s conditional betweenness. We compare its efficacy with well-known attack strategies from literature over five real-world complex weighted networks. We use the network weighted efficiency (WEFF) like a measure encompassing the weighted structure of the network, in addition to the commonly used binary-topological measure, i.e., the largest connected cluster (LCC). We find that if the measur
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3

TASGIN, MURSEL, and HALUK O. BINGOL. "GOSSIP ON WEIGHTED NETWORKS." Advances in Complex Systems 15, supp01 (2012): 1250061. http://dx.doi.org/10.1142/s0219525912500610.

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Анотація:
In this work, we analyze gossip spreading on weighted networks. We try to define a new metric to classify weighted complex networks using our model. The model proposed here is based on the gossip spreading model introduced by Lind et al. on unweighted networks. The new metric is based on gossip spreading activity in the network, which is correlated with both topology and relative edge weights in the network. The model gives more insight about the weight distribution and correlation of topology with edge weights in a network. It also measures how suitable a weighted network is for gossip spread
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4

Xing, Yingying, Jian Lu, and Shendi Chen. "Weighted Complex Network Analysis of Shanghai Rail Transit System." Discrete Dynamics in Nature and Society 2016 (2016): 1–8. http://dx.doi.org/10.1155/2016/1290138.

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Анотація:
With increasing passenger flows and construction scale, Shanghai rail transit system (RTS) has entered a new era of networking operation. In addition, the structure and properties of the RTS network have great implications for urban traffic planning, design, and management. Thus, it is necessary to acquire their network properties and impacts. In this paper, the Shanghai RTS, as well as passenger flows, will be investigated by using complex network theory. Both the topological and dynamic properties of the RTS network are analyzed and the largest connected cluster is introduced to assess the r
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5

Wang, Yu, Jinli Guo, and Han Liu. "A New Evaluation Method of Node Importance in Directed Weighted Complex Networks." Journal of Systems Science and Information 5, no. 4 (2017): 367–75. http://dx.doi.org/10.21078/jssi-2017-367-09.

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Анотація:
AbstractCurrent researches on node importance evaluation mainly focus on undirected and unweighted networks, which fail to reflect the real world in a comprehensive and objective way. Based on directed weighted complex network models, the paper introduces the concept of in-weight intensity of nodes and thereby presents a new method to identify key nodes by using an importance evaluation matrix. The method not only considers the direction and weight of edges, but also takes into account the position importance of nodes and the importance contributions of adjacent nodes. Finally, the paper appli
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6

Wu, Huijun, Hao Wang, and Linyuan Lü. "Individual T1-weighted/T2-weighted ratio brain networks: Small-worldness, hubs and modular organization." International Journal of Modern Physics C 29, no. 05 (2018): 1840007. http://dx.doi.org/10.1142/s0129183118400077.

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Анотація:
Applying network science to investigate the complex systems has become a hot topic. In neuroscience, understanding the architectures of complex brain networks was a vital issue. An enormous amount of evidence had supported the brain was cost/efficiency trade-off with small-worldness, hubness and modular organization through the functional MRI and structural MRI investigations. However, the T1-weighted/T2-weighted (T1w/T2w) ratio brain networks were mostly unexplored. Here, we utilized a KL divergence-based method to construct large-scale individual T1w/T2w ratio brain networks and investigated
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7

Malekzadeh, Milad, and Jed A. Long. "A network community structure similarity index for weighted networks." PLOS ONE 18, no. 11 (2023): e0292018. http://dx.doi.org/10.1371/journal.pone.0292018.

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Анотація:
Identification of communities in complex systems is an essential part of network analysis. Accordingly, measuring similarities between communities is a fundamental part of analysing community structure in different, yet related, networks. Commonly used methods for quantifying network community similarity fail to consider the effects of edge weights. Existing methods remain limited when the two networks being compared have different numbers of nodes. In this study, we address these issues by proposing a novel network community structure similarity index (NCSSI) based on the edit distance concep
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An, Xin-lei, and Li Zhang. "A New Complex Network Model with Multiweights and Its Synchronization Control." Advances in Mathematical Physics 2020 (January 13, 2020): 1–12. http://dx.doi.org/10.1155/2020/2872795.

Повний текст джерела
Анотація:
Based on the weighted complex network model, this paper establishes a multiweight complex network model, which possesses several different weights on the one edge. According to the method of network split, the complex network with multiweights is split into several different complex networks with single weight. Some new static characteristics, such as node weight, node degree, node weight strength, node weight distribution, edge weight distribution, and diversity of weight distribution are defined. Then, by using Lyapunov stability theory, the adaptive feedback synchronization controller is de
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DAI, MEIFENG, and DANPING ZHANG. "A WEIGHTED EVOLVING NETWORK WITH AGING-NODE-DELETING AND LOCAL REARRANGEMENTS OF WEIGHTS." International Journal of Modern Physics C 25, no. 02 (2014): 1350093. http://dx.doi.org/10.1142/s0129183113500939.

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Анотація:
In previous study of complex network, researchers generally considered the increase of the un-weighted network by the method of adding new nodes and new links. However, most of real networks are weighted and characterized by capacities or strength instead of a binary state (present or absent), and their nodes and links experience both increase and deletion. Barrat, Barthlemy and Vespignani, Phys. Rev. Lett.92, 228701 (2004) presented an evolutionary model (BBV model) to investigate weighted networks. We present a weighted evolution network model based on BBV model, which not only considers to
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Luo, Yutai, Baocheng Sha, and Tao Xu. "A Recommended Method Based on the Weighted RippleNet Network Mode." Journal of Physics: Conference Series 2025, no. 1 (2021): 012011. http://dx.doi.org/10.1088/1742-6596/2025/1/012011.

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Анотація:
Abstract User preferences were modeled by the RippleNet network and successfully applied in the recommender systems, but the weight of the entity was not considered. This paper proposes a RippleNet model incorporating the influence of complex network nodes. After the construction of complex networks based on knowledge Graphs, we build the maximum subnet model and calculate the influence of nodes in the graph network. We added it to the RippleNet as the weight of entities. The experimental results showed that new method increased the AUC and ACC values of RippleNet to 92.0% and 84.6%, solve the
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Дисертації з теми "New Weighted Complex Network"

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McAndrew, Thomas Charles. "Weighted Networks: Applications from Power grid construction to crowd control." ScholarWorks @ UVM, 2017. http://scholarworks.uvm.edu/graddis/668.

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Анотація:
Since their discovery in the 1950's by Erdos and Renyi, network theory (the study of objects and their associations) has blossomed into a full-fledged branch of mathematics. Due to the network's flexibility, diverse scientific problems can be reformulated as networks and studied using a common set of tools. I define a network G = (V,E) composed of two parts: (i) the set of objects V, called nodes, and (ii) set of relationships (associations) E, called links, that connect objects in V. We can extend the classic network of nodes and links by describing the intensity of these associations with we
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Sekgoka, Chaka Patrick. "Modeling cross-border financial flows using a network theoretic approach." Thesis, University of Pretoria, 2021. http://hdl.handle.net/2263/78773.

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Анотація:
Criminal networks exploit vulnerabilities in the global financial system, using it as a conduit to launder criminal proceeds. Law enforcement agencies, financial institutions, and regulatory organizations often scrutinize voluminous financial records for suspicious activities and criminal conduct as part of anti-money laundering investigations. However, such studies are narrowly focused on incidents and triggered by tip-offs rather than data mining insights. This research models cross-border financial flows using a network theoretic approach and proposes a symmetric-key encryption algorithm t
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3

Betts, Loren Cole. "A new theoretical and experimental approach to nonlinear vector network and complex signal analysis." Thesis, University of Leeds, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.522925.

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Rui, Yikang. "Urban Growth Modeling Based on Land-use Changes and Road Network Expansion." Doctoral thesis, KTH, Geodesi och geoinformatik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-122182.

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Анотація:
A city is considered as a complex system. It consists of numerous interactivesub-systems and is affected by diverse factors including governmental landpolicies, population growth, transportation infrastructure, and market behavior.Land use and transportation systems are considered as the two most importantsubsystems determining urban form and structure in the long term. Meanwhile,urban growth is one of the most important topics in urban studies, and its maindriving forces are population growth and transportation development. Modelingand simulation are believed to be powerful tools to explore t
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ANDRULLI, GIOVANNA. "SENSEABLE e PHIGITAL city. Complessità tra fisico e virtuale nella sincronia tra soggetti e spazi della dimensione urbana e del paesaggio." Doctoral thesis, Università degli studi della Basilicata, 2022. https://hdl.handle.net/11563/162748.

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Анотація:
The interaction between the physical and digital worlds represents an immense potential for citizens and the territory in terms of sustainability, accessibility and attractiveness. New technologies are integrating into the physical space of our cities, generating new ways to interpret, design and inhabit the urban environment in an inclusive way, according to the 'senseable and phigital city' paradigms. The research project, included in the 'Innovative Doctorates with a specialisation in enabling technologies in Industry 4.0' programme, combines the conceptual framework of Industry 4.0 and ne
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Zhou, Rongyan. "Exploration of opportunities and challenges brought by Industry 4.0 to the global supply chains and the macroeconomy by integrating Artificial Intelligence and more traditional methods." Electronic Thesis or Diss., université Paris-Saclay, 2021. http://www.theses.fr/2021UPAST037.

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Анотація:
L'industrie 4.0 est un changement important et un défi de taille pour chaque segment industriel. La recherche utilise d'abord l'analyse de la littérature pour trier la littérature et énumérer la direction du développement et l'état d'application de différents domaines, ce qui se consacre à montrer un rôle de premier plan pour la théorie et la pratique de l'industrie 4.0. La recherche explore ensuite la tendance principale de l'offre à plusieurs niveaux dans l'industrie 4.0 en combinant l'apprentissage automatique et les méthodes traditionnelles. Ensuite, la recherche examine la relation entre
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Zemzami, Maria. "Variations sur PSO : approches parallèles, jeux de voisinages et applications Application d’un modèle parallèle de la méthode PSO au problème de transport d’électricité A modified Particle Swarm Optimization algorithm linking dynamic neighborhood topology to parallel computation An evolutionary hybrid algorithm for complex optimization problems Interoperability optimization using a modified PSO algorithm A comparative study of three new parallel models based on the PSO algorithm Optimization in collaborative information systems for an enhanced interoperability network." Thesis, Normandie, 2019. http://www.theses.fr/2019NORMIR11.

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Анотація:
Reconnue depuis de nombreuses années comme une méthode efficace pour la résolution de problèmes difficiles, la méta-heuristique d’optimisation par essaim de particules PSO (Particle Swarm Optimization) présente toutefois des inconvénients dont les plus étudiés sont le temps de calcul élevé et la convergence prématurée. Cette thèse met en exergue quelques variantes de la méthode PSO visant à échapper à ces deux inconvénients de la méthode. Ces variantes combinent deux approches : la parallélisation de la méthode de calcul et l’organisation de voisinages appropriés pour les particules. L’évaluat
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Supriya, Supriya. "Brain Signal Analysis and Classification by Developing New Complex Network Techniques." Thesis, 2020. https://vuir.vu.edu.au/40551/.

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Анотація:
Brain signal analysis has a crucial role in the investigation of the neuronal activity for diagnosis of brain diseases and disorders. The electroencephalogram (EEG) is the most efficient biomarker for the analysis of brain signal that assists in the diagnosis of brain disorder medication and also plays an essential role in all the neurosurgery related to the brain. EEG findings illustrate the meticulous condition, and clinical content of the brain dysfunctions, and has an undisputed importance role in the detection of epilepsy condition and sleep disorders and dysfunctions allied to alcohol. T
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Bhattacharyya, Moitrayee. "Probing Ligand Induced Perturbations In Protien Structure Networks : Physico-Chemical Insights From MD Simulations And Graph Theory." Thesis, 2012. https://etd.iisc.ac.in/handle/2005/2341.

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Анотація:
The fidelity of biological processes and reactions, inspite of the widespread diversity, is programmed by highly specific physico-chemical principles. This underlines our basic understanding of different interesting phenomena of biological relevance, ranging from enzyme specificity to allosteric communication, from selection of fold to structural organization / states of oligomerization, from half-sites-reactivity to reshuffling of the conformational free energy landscape, encompassing the dogma of sequence-structure dynamics-function of macromolecules. The role of striking an optimal balance
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Bhattacharyya, Moitrayee. "Probing Ligand Induced Perturbations In Protien Structure Networks : Physico-Chemical Insights From MD Simulations And Graph Theory." Thesis, 2012. http://etd.iisc.ernet.in/handle/2005/2341.

Повний текст джерела
Анотація:
The fidelity of biological processes and reactions, inspite of the widespread diversity, is programmed by highly specific physico-chemical principles. This underlines our basic understanding of different interesting phenomena of biological relevance, ranging from enzyme specificity to allosteric communication, from selection of fold to structural organization / states of oligomerization, from half-sites-reactivity to reshuffling of the conformational free energy landscape, encompassing the dogma of sequence-structure dynamics-function of macromolecules. The role of striking an optimal balance
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Книги з теми "New Weighted Complex Network"

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Cernison, Matteo. Social Media Activism. Amsterdam University Press, 2019. http://dx.doi.org/10.5117/9789462980068.

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Анотація:
This book focuses on the referendums against water privatization in Italy and explores how activists took to social media, ultimately convincing twenty-seven million citizens to vote. Investigating the relationship between social movements and internet-related activism during complex campaigns, this book examines how a technological evolution — the increased relevance of social media platforms — affected in very different ways organizations with divergent characteristics, promoting at the same time decentralized communication practices, and new ways of coordinating dispersed communities of peo
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Verloo, Nanke, and Luca Bertolini, eds. Seeing the City. Amsterdam University Press, 2020. http://dx.doi.org/10.5117/9789463728942.

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Анотація:
The city is a complex object. Some researchers look at its shape, others at its people, animals, ecology, policy, infrastructures, buildings, history, art, or technical networks. Some researchers analyse processes of in- or exclusion, gentrification, or social mobility; others biological evolution, traffic flows, or spatial development. Many combine these topics or add still more topics beyond this list. Some projects cross the boundaries of research and practice and engage in action research, while others pursue knowledge for the sake of curiosity. This volume embraces this variety of perspec
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3

Funk, Tom. Web 2.0 and Beyond. www.praeger.com, 2008. http://dx.doi.org/10.5040/9798216034278.

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Анотація:
Web 2.0 has taken on buzzword status. It's now shorthand for everything that is new, cutting-edge, and gaining momentum online. Web 2.0 can describe particular Web sites; cultural trends like social networking, blogging, or podcasting; or the underlying technology that makes today's coolest Web applications possible. Many Web 2.0 innovations were pioneered by behemoths like Google, Amazon, Apple, YouTube, and MySpace. But even the smallest, leanest companies can take advantage of the new trends, new and open-source programming tools, and new networks. This book presents a wealth of ideas that
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4

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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Анотація:
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 discusse
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Henry, Adam Douglas. Network Segregation and Policy Learning. Edited by Jennifer Nicoll Victor, Alexander H. Montgomery, and Mark Lubell. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780190228217.013.23.

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Анотація:
Learning is an important concept in the study of public policy and covers a range of actions where evidence is used to shape and improve decisions, including using science to inform responses to problems; adjusting policy based on successes and failures; and forming new beliefs about salient issues, their causes, and appropriate solutions. Network concepts are central to theoretical treatments of learning. Three assumptions are often made about networks and their role in learning processes: (1) most policy networks exhibit segregation, in the sense that network ties tend to exist among actors
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Bianconi, Ginestra. Structural Correlations of Multiplex Networks. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198753919.003.0007.

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Анотація:
Multiplex networks encode relevant information in their correlated structure, including interlayer degree correlation, link overlap, weight–topology correlations in weighted multiplex networks and activity of the nodes. Interlayer degree correlations among a pair of layers indicates for instance whether or not the hub nodes of one layer are also hub nodes in the other. Link overlap indicates that a finite fraction of nodes are connected in more than one layer. Weight–topology correlations of weighted complex networks reveal that the weight of the links is not random, but often correlated with
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Thomson, C. Claire. Mapping Messiness: The Informational Film Archive and Actor-Network Theory. Edinburgh University Press, 2018. http://dx.doi.org/10.3366/edinburgh/9781474424134.003.0004.

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Анотація:
This chapter offers Actor-Network Theory (ANT) as a toolkit for analysing the often messy and complex networks and relationships involved in the production and distribution of useful cinema. Stressing that ANT is employed in the book as a way of thinking rather than as an explicit framework, the chapter briefly outlines the key principles of ANT and relates them to documentary and informational filmmaking. In particular, the chapter discusses the potential of ANT for rendering visible or audible the many non-human actors in any instance of filmmaking, and for revealing how facts are constructe
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Kaup, Monika. New Ecological Realisms. Edinburgh University Press, 2021. http://dx.doi.org/10.3366/edinburgh/9781474483094.001.0001.

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What is the singular reality of humanistic objects of study? New Ecological Realism argues that our contemporary moment after the exhaustion of postmodernism presents an unprecedented opportunity to pursue this question. It proposes that the answer is found in a new concept of the real that hinges on, instead of denying, context, organization and form. New Ecological Realism showcases a context-based concept of the real, arguing that new realisms of complex and embedded wholes, actor-networks, and ecologies, rather than old realisms of isolated parts and things, represent the most promising es
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Namatame, Akira, and Takanori Komatsu. Modeling of Desirable Socioeconomic Networks. Edited by Shu-Heng Chen, Mak Kaboudan, and Ye-Rong Du. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780199844371.013.15.

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Анотація:
This chapter discusses the issues of designing desirable socioeconomic networks. Such networks permeate our lives. Evidence of this has generated increasing interest in dynamic processes in complex networks, especially the interplay between processes and the influences of network structure on performance and robustness. Performance optimization and robustness are important issues of socioeconomic networks. Diffusion is the process by which new products are invented and successfully introduced into a society (good diffusion) or infectious diseases spread (bad diffusion). Many studies shed light
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Beaty, Roger E., and Rex E. Jung. Interacting Brain Networks Underlying Creative Cognition and Artistic Performance. Edited by Kalina Christoff and Kieran C. R. Fox. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780190464745.013.10.

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Анотація:
Cognitive neuroscience research has begun to address the potential interaction of brain networks supporting creativity by employing new methods in brain network science. Network methods offer a significant advance compared to individual region of interest studies due to their ability to account for the complex and dynamic interactions among discrete brain regions. As this chapter demonstrates, several recent studies have reported a remarkably similar pattern of brain network connectivity across a range of creative tasks and domains. In general, such work suggests that creative thought may invo
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Частини книг з теми "New Weighted Complex Network"

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Romero, Juan, Jorge Finke, and Andrés Salazar. "Fitness-Weighted Preferential Attachment with Varying Number of New Connections." In Complex Networks and Their Applications VIII. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-36687-2_51.

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Zhang, Hanyong, Qingfang Meng, Mingmin Liu, and Yang Li. "A New Epileptic Seizure Detection Method Based on Fusion Feature of Weighted Complex Network." In Advances in Neural Networks – ISNN 2018. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92537-0_94.

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Rajeh, Stephany, Marinette Savonnet, Eric Leclercq, and Hocine Cherifi. "Modularity-Based Backbone Extraction in Weighted Complex Networks." In Network Science. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97240-0_6.

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Hu, Zhenghao, Yingyi Liu, Lin Cheng, Yan Wang, Donglei Zhang, and Xun Tian. "Fault Diagnosis of Infrared Sensor Based on Convolutional Neural Network." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-2409-6_14.

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Анотація:
Abstract Infrared sensors are critical equipment for monitoring substations, but they are subjected to complex multi-physical field stresses in substation applications, leading to a significantly higher failure rate of infrared sensors in substations compared to other applications. Effective fault diagnosis of infrared sensors is of great importance for improving the safety of substations. This article proposes a method for fault diagnosis of infrared sensors. First, the network weights are trained based on the ImageNet dataset and kept fixed. Then, a transfer learning approach is used to fine
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El Hassouni, Mohammed, and Hocine Cherifi. "Visual Mesh Quality Assessment Using Weighted Network Representation." In Complex Networks & Their Applications XII. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-53468-3_27.

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Zhou, Zhi, Xiaojun Zou, Xueqiang Lv, and Junfeng Hu. "Research on Weighted Complex Network Based Keywords Extraction." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-45185-0_47.

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Davis, Michael, Weiru Liu, Paul Miller, Ruth F. Hunter, and Frank Kee. "Agwan: A Generative Model for Labelled, Weighted Graphs." In New Frontiers in Mining Complex Patterns. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08407-7_12.

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Gao, Zhong-Ke, Ning-De Jin, and Wen-Xu Wang. "Directed Weighted Complex Network for Characterizing Gas-Liquid Slug Flow." In Nonlinear Analysis of Gas-Water/Oil-Water Two-Phase Flow in Complex Networks. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38373-1_8.

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Jian, Zhou, Zhai Qun, and Tao Jianping. "A Network Security Risk Fuzzy Clustering Assessment Model Based on Weighted Complex Network." In Computing and Intelligent Systems. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24010-2_20.

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Kim, Kibae, and Jörn Altmann. "A Complex Network Analysis of the Weighted Graph of the Web2.0 Service Network." In Advances in Intelligent and Soft Computing. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-25321-8_7.

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Тези доповідей конференцій з теми "New Weighted Complex Network"

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Reilly, Rosemarie, Xiaoshu Xu, and Jerald Jones. "Neural Network Application to Acoustic Emission Signal Processing." In CORROSION 1992. NACE International, 1992. https://doi.org/10.5006/c1992-92242.

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Abstract Artificial neural systems, also known as neural networks, are an attempt to develop computer systems that emulate the neural reasoning behavior of biological neural systems (e.g. the human brain). As such they are loosely based on biological neural networks. The ANS consists of a series of nodes (neurons) and weighted connections (axons) that, when presented with a specific input pattern, can associate specific output patterns. It is essentially a highly complex, non-linear, mathematical relationship or transform. These constructs have two significant properties that have proven usefu
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Rock, Alan, Xiaoshu Xu, and Jerald E. Jones. "Typical Neural Network Applications in Signal Processing and Process Modelling." In CORROSION 1992. NACE International, 1992. https://doi.org/10.5006/c1992-92265.

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Abstract Artificial neural systems (ANS), also known as neural networks, are an attempt to develop computer systems that emulate the neural reasoning behavior of biological neural systems (e.g. the human brain). As such, they are loosely based on biological neural networks. The ANS consists of a series of nodes (neurons) and weighted connections (axons) that, when presented with a specific input pattern, can associate specific output patterns. It is essentially a highly complex, non-linear, mathematical relationship or transform. These constructs have two significant properties that have prove
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3

Fei, Yihong, Binyang Xie, Jingya Zhang, Yixin Jin, Ziyi Pan, and Chenyue Yuan. "A New Improved YOLO Based Network for PCB Surface Defect Detection." In 2024 6th International Conference on Data-driven Optimization of Complex Systems (DOCS). IEEE, 2024. http://dx.doi.org/10.1109/docs63458.2024.10704423.

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Sun, Huakai, Xuejiao Zhang, Ganlin Wang, et al. "A evaluation method of graphic quality of power distribution network based on weighted average algorithm with equilibrium correction." In 2024 4th International Conference on New Energy and Power Engineering (ICNEPE). IEEE, 2024. https://doi.org/10.1109/icnepe64067.2024.10860605.

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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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Wang, Zhongsheng, and Yan Jun Liang. "A New Scheme of Synchronization-Based Topology Identification for a Class of Weighted General Complex Dynamical Networks with Time-Varying Coupling Delay." In 2009 Fifth International Conference on Natural Computation. IEEE, 2009. http://dx.doi.org/10.1109/icnc.2009.75.

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Bym, T., R. Turnbull, and L. Hartley. "Conditioning of DFN Models To Fracture Trace Maps and Borehole Intersections." In 3rd International Discrete Fracture Network Engineering Conference. ARMA, 2022. http://dx.doi.org/10.56952/arma-dfne-22-0742.

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Abstract A new method for conditioning DFN models to field data such as outcrops, tunnel traces and borehole fracture logs is presented. The method generates DFNs that honor local observations whilst maintaining the specified fracture size and intensity statistics. This conditioning workflow has two main steps. First, an unconditioned DFN is generated and all fractures intersecting specified sampling objects such as boreholes and rock faces are removed. The second step is to replace the removed fractures with conditioned fractures. The generation of conditioned fractures starts by defining a p
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Colley, Rachael, Théo Delemazure, and Hugo Gilbert. "Measuring a Priori Voting Power in Liquid Democracy." In Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/290.

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We introduce new power indices to measure the a priori voting power of voters in liquid democracy elections where an underlying network restricts delegations. We argue that our power indices are natural extensions of the standard Penrose-Banzhaf index in simple voting games. We show that computing the criticality of a voter is #P-hard even in weighted games with weights polynomially-bounded in the size of the instance. However, for specific settings, such as when the underlying network is a bipartite or complete graph, recursive formulas can compute these indices for weighted voting games in p
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Zhang, Jianpeng, Yutong Xie, Pingping Zhang, Hao Chen, Yong Xia, and Chunhua Shen. "Light-Weight Hybrid Convolutional Network for Liver Tumor Segmentation." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/593.

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Automated segmentation of liver tumors in contrast-enhanced abdominal computed tomography (CT) scans is essential in assisting medical professionals to evaluate tumor development and make fast therapeutic schedule. Although deep convolutional neural networks (DCNNs) have contributed many breakthroughs in image segmentation, this task remains challenging, since 2D DCNNs are incapable of exploring the inter-slice information and 3D DCNNs are too complex to be trained with the available small dataset. In this paper, we propose the light-weight hybrid convolutional network (LW-HCN) to segment the
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Hossain, Shakhawath, Per Bergström, Sohan Sarangi, and Tetsu Uesaka. "Computational Design of Fibre Network by Discrete Element Method." In Advances in Pulp and Paper Research, Oxford 2017, edited by W. Batchelor and D. Söderberg. Fundamental Research Committee (FRC), Manchester, 2017. http://dx.doi.org/10.15376/frc.2017.2.651.

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Soft fibre networks, typically seen in bathroom tissues, kitchen towels, and personal-care products, have properties that are intricately affected by the details of fibre geometry, 3D-network structures, and processing conditions. Designing such materials and products for better performance, while controlling cost, is especially a challenge in today’s fast paced product development. This paper concerns the development of a new, robust computational design platform for the design of soft fibre networks. We have used particle-based methods, particularly, Discrete Element Method (DEM), to model f
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Звіти організацій з теми "New Weighted Complex Network"

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Patel, Reena. Complex network analysis for early detection of failure mechanisms in resilient bio-structures. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/41042.

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Bio-structures owe their remarkable mechanical properties to their hierarchical geometrical arrangement as well as heterogeneous material properties. This dissertation presents an integrated, interdisciplinary approach that employs computational mechanics combined with flow network analysis to gain fundamental insights into the failure mechanisms of high performance, light-weight, structured composites by examining the stress flow patterns formed in the nascent stages of loading for the rostrum of the paddlefish. The data required for the flow network analysis was generated from the finite ele
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Bonnett, Michaela, Angela Ladetto, Meaghan Kennedy, Jasmine Fernandez, and Teri Garstka. Network Analysis of a Mobility Ecosystem in Detroit, MI. Orange Sparkle Ball, 2024. http://dx.doi.org/10.61152/hejw8941https://www.orangesparkleball.com/innovation-library-blog/2024/5/30/sunbelt2024-network-analysis-of-a-mobility-ecosystem-in-detroit-mi.

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Network Analysis of a Mobility Ecosystem in Detroit, MI Background As part of a new initiative from the Global Epicenter of Mobility (GEM), organizations across many sectors in Detroit, MI, and surrounding counties are collaboratively investing in transforming the local legacy mobility industry into an inclusive advanced mobility cluster over the next 3 years. At the start of this initiative, in partnership with the research team at the Detroit Regional Partnership, a social network analysis was conducted to map the relationship between the foundational 24 organizations, the greater coalition,
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Bonnett, Michaela, Angela Ladetto, Meaghan Kennedy, Jasmine Fernandez, and Teri Garstka. Network Analysis of a Mobility Ecosystem in Detroit, MI. Orange Sparkle Ball, 2024. http://dx.doi.org/10.61152/hejw8941.

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Network Analysis of a Mobility Ecosystem in Detroit, MI Background As part of a new initiative from the Global Epicenter of Mobility (GEM), organizations across many sectors in Detroit, MI, and surrounding counties are collaboratively investing in transforming the local legacy mobility industry into an inclusive advanced mobility cluster over the next 3 years. At the start of this initiative, in partnership with the research team at the Detroit Regional Partnership, a social network analysis was conducted to map the relationship between the foundational 24 organizations, the greater coalition,
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4

Nechaev, V., Володимир Миколайович Соловйов, and A. Nagibas. Complex economic systems structural organization modelling. Politecnico di Torino, 2006. http://dx.doi.org/10.31812/0564/1118.

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One of the well-known results of the theory of management is the fact, that multi-stage hierarchical organization of management is unstable. Hence, the ideas expressed in a number of works by Don Tapscott on advantages of network organization of businesses over vertically integrated ones is clear. While studying the basic tendencies of business organization in the conditions of globalization, computerization and internetization of the society and the results of the financial activities of the well-known companies, the authors arrive at the conclusion, that such companies, as IBM, Boeing, Merced
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Hovakimyan, Naira, Hunmin Kim, Wenbin Wan, and Chuyuan Tao. Safe Operation of Connected Vehicles in Complex and Unforeseen Environments. Illinois Center for Transportation, 2022. http://dx.doi.org/10.36501/0197-9191/22-016.

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Autonomous vehicles (AVs) have a great potential to transform the way we live and work, significantly reducing traffic accidents and harmful emissions on the one hand and enhancing travel efficiency and fuel economy on the other. Nevertheless, the safe and efficient control of AVs is still challenging because AVs operate in dynamic environments with unforeseen challenges. This project aimed to advance the state-of-the-art by designing a proactive/reactive adaptation and learning architecture for connected vehicles, unifying techniques in spatiotemporal data fusion, machine learning, and robust
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Porter, Joanne, Sambath My, Megan Simic, et al. Evaluation of the new wave Gippsland capacity building project: evaluation 2023-2024. Federation University, 2024. http://dx.doi.org/10.35843/enwgcbpe24.

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Funded by the Australian Government National Disability Insurance Agency (NDIA) Information, Linkages and Capacity Building (ILC) grant, the New Wave Gippsland Capacity Building Project aimed to build capacity and develop skills, knowledge, and abilities of people with an intellectual disability, acquired brain injury (ABI) or complex communication in the Gippsland region. The key element of this project was the engagement, training, and support of Peer Educators in developing and delivering the Sexual Lives & Respectful Relationships (SL&RR) program and network in Gippsland. It also a
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Nagel, Jessica, Holly Paisted, Christopher Peck, and Paul Duffy. Condition and trends of estuarine water quality in Gateway National Recreation Area: Northeast Coastal and Barrier Network, 2003–2022. National Park Service, 2025. https://doi.org/10.36967/2310870.

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This report summarizes conditions and trends in routine long-term water quality monitoring data collected at Gateway National Recreation Area in New York from 2003 through 2022 as part of the NPS NCBN Vital Signs Estuarine Nutrient Enrichment monitoring program. This comprehensive program incorporates spatial surveys, repeated monitoring at trend stations, and continuous monitoring at a fixed logging station in an effort to establish overall condition of the estuary as well as to identify potential trends or changes in condition over time. All monitoring was conducted during a four-week summer
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McGarrigle, Malachy. Watchpoints for Consideration When Utilising a VDI Network to Teach Archicad BIM Software Within an Educational Programme. Unitec ePress, 2023. http://dx.doi.org/10.34074/ocds.099.

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This research identifies factors to be considered in the adoption of a virtual desktop infrastructure (VDI) accommodating the software needs of a tertiary institution. The study discusses the potential advantages and disadvantages of VDI, focusing specifically on the performance of the architectural software Archicad when used virtually. The findings will be relevant to similar programmes, such as Revit, and software used in other disciplines, especially where processing power is important. Aims discussed include reducing high-specification computers rarely used to capacity, assessing user exp
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Соловйов, В. М., та О. С. Лук’янчук. Фолксономія соціально-економічних об’єктів в складних мережах засобами CorrRank. Брама-Україна, 2014. http://dx.doi.org/10.31812/0564/1307.

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The financial and economic crisis 2007-2009 shown that economic institutions are closely linked and the behavior of complex systems is difficult predictable. There is an urgent need to develop new quantitative methods that adequately describe the dynamic changes in complex systems during normal conditions and during the crisis. There is a need for methods that describe the topology of the interaction between economic institutions, using the tools developed in the theory of networks. The paper used a method of investigation of nonlinear dynamics, as the random matrices theory, which when combin
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Sara-Kennedy, Edward. How Do Disruptive Innovators Prepare Today’s Students to be Tomorrow’s Workforce?: Coschool's Edumoción Centering The Emotion in Education. Inter-American Development Bank, 2023. http://dx.doi.org/10.18235/0004779.

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Latin America and the Caribbean are facing numerous challenges, such as low-quality education, poor well-being, and non-peaceful and exclusive societies. The causes are complex, yet connected to outdated, ineffective, and underfinanced education systems. The emotional strain of the pandemic continues to create new challenges and unearth problems that have long been neglected. There is an urgent need for a disruptive solution that supports educators, parents, and students to overcome existing problems as well as better prepare them for uncertain times that lie ahead. In this brief, we introduce
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