Results 21 to 30 of about 120,423 (316)
Risk estimation and stochastic control of innovation processes
Cybernetics and Information Technologies, 2014 The innovation introduction, no matter whether a product, technology, a method, etc., is being implemented, is connected with considerable risk of investments loss and highly stochastic behaviour, depending on unpredictable factors.
Sgurev Vassil, Drangajov Stanislav
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Algorithms, 2014 We describe a flow model related to ordinary network flows the same way as stable matchings are related to maximum matchings in bipartite graphs. We prove that there always exists a stable flow and generalize the lattice structure of stable marriages to ...
Tamás Fleiner
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Mapping flows on bipartite networks [PDF]
Physical Review E, 2020 Mapping network flows provides insight into the organization of networks, but even though many real-networks are bipartite, no method for mapping flows takes advantage of the bipartite structure. What do we miss by discarding this information and how can we use it to understand the structure of bipartite networks better? The map equation models network
Christopher Blöcker, Martin Rosvall
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PLoS ONE, 2021 What drives the formation and evolution of the global refugee flow network over time? Refugee flows in particular are widely explained as the result of pursuits for physical security, with recent research adding geopolitical considerations for why states
Justin Schon, Jeffrey C Johnson
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Data flow dissemination in a network
Queueing Systems, 2023 We consider the following network model motivated, in particular, by blockchains and peer-to-peer live streaming. Data packet flows arrive at the network nodes and need to be disseminated to all other nodes. Packets are relayed through the network via links of finite capacity. A packet leaves the network when it is disseminated to all nodes.
Aditya Gopalan, Alexander L. Stolyar
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On Multilateral Security Monitoring and Analysis With an Abstract Tomogram of Network Flows
IEEE Access, 2018 In this paper, we present a novel method for visualizing an abstract tomogram of network flows. Through a tomogram, we offer visual cues for quickly sensing aggregate and temporal networking behaviors of the monitored systems.
Young Yoon, Yongjun Choi
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Efficient Routing by Detecting Elephant Flows with Deep Learning Method in SDN
Advances in Electrical and Computer Engineering, 2023 Nowadays, the increase in the number of devices using local and global networks has made it very challenging to manage network traffic, especially during epidemics and natural disasters.
AYMAZ, S., CAVDAR, T.
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Network structure and influencing factors of the quality of inbound tourism flows circulation [PDF]
Ziyuan Kexue[Objective] The objective of this study was to reveal the structural characteristics of the network of inbound tourism flows circulation quality and the role of various provinces within this network, and to analyze the influencing factors of the quality ...
MA Lijun, LIANG Xiaoyao
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IEEE Access, 2023 Characterizing network flows is essential for security operators to enhance their awareness about cyber-threats targeting their networks. The automation of network flow characterization with machine learning has received much attention in recent years ...
Mehdi Zakroum +3 more
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Temporal Flows in Temporal Networks [PDF]
Journal of Computer and System Sciences, 2017 We introduce temporal flows on temporal networks, i.e., networks the links of which exist only at certain moments of time. Such networks are ephemeral in the sense that no link exists after some time. Our flow model is new and differs from the "flows over time" model, also called "dynamic flows" in the literature.
Eleni C. Akrida +4 more
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