Results 11 to 20 of about 6,979,871 (382)
Topology of fracture networks [PDF]
Frontiers in Physics, 2013 We propose a mapping from fracture systems consisting of intersecting fracture sheets in three dimensions to an abstract network consisting of nodes and links. This makes it possible to analyze fracture systems with the methods developed within modern network theory. We test the mapping for two-dimensional geological fracture outcrops and find that the
Christian Andre Andresen +5 more
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The topology of the kinetoplast DNA network
Cell, 1995 Kinetoplast DNA (kDNA) of trypanosomatid parasites is a network of approximately 5000 catenated DNA minicircles and approximately 25 maxicircles. We developed the following strategy to deduce the topological linkage of the minicircles of the Crithidia fasciculata network.
Junghuei Chen +4 more
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Networks, topology and dynamics [PDF]
Quality & Quantity, 2014 Interest in network analysis has grown in recent years. Many social, economic and financial systems with large numbers of interacting agents can be conveniently described by a network. In the last decade, new theories have been developed to highlight the topological properties of network architectures, despite their apparent randomness.
Torriero, Anna, Stefani, Silvana
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Topological learning for brain networks [PDF]
The Annals of Applied Statistics, 2020 AbstractThis paper proposes a novel topological learning framework that can integrate networks of different sizes and topology through persistent homology. This is possible through the introduction of a new topological loss function that enables such challenging task. The use of the proposed loss function bypasses the intrinsic computational bottleneck
Moo K. Chung, Tananun Songdechakraiwut
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Research on Energy-Aware Topology Strategy Based on Wireless Sensor in Internet of Things [PDF]
International Journal of Computational Intelligence Systems, 2014 Since the finitude of hardware and network dynamic limit the bandwidth based on wireless sensor in the wireless internet of things (IOT), it is difficult to obtain the network topology information accurately and timely.
XueFei Tang, XinZheng Niu, Shahzad Ali
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Topology of music recommendation networks [PDF]
Chaos: An Interdisciplinary Journal of Nonlinear Science, 2006 We study the topology of several music recommendation networks, which arise from relationships between artist, co-occurrence of songs in play lists or experts’ recommendation. The analysis uncovers the emergence of complex network phenomena in these kinds of recommendation networks, built considering artists as nodes and their resemblance as links.
Òscar Celma +3 more
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Topological properties of hierarchical networks [PDF]
Physical Review E, 2015 Hierarchical networks are attracting a renewal interest for modelling the organization of a number of biological systems and for tackling the complexity of statistical mechanical models beyond mean-field limitations. Here we consider the Dyson hierarchical construction for ferromagnets, neural networks and spin-glasses, recently analyzed from a ...
Andrea Galluzzi +6 more
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Performance Evaluation of Beacon-Enabled Mode for IEEE 802.15.4 Wireless Sensor Network
Emitter: International Journal of Engineering Technology, 2013 IEEE 802.15.5 standard support structure of star and peer-to-peer network formation. Strating from these, the cluster tree network can be built as a special case of peer-to-peer network to increse coverage area.
M. Udin Harun Al Rasyid +2 more
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Network Topology and Communication-Computation Tradeoffs in Decentralized Optimization [PDF]
Proceedings of the IEEE, 2017 In decentralized optimization, nodes cooperate to minimize an overall objective function that is the sum (or average) of per-node private objective functions. Algorithms interleave local computations with communication among all or a subset of the nodes.
A. Nedić +2 more
semanticscholar +1 more source
Combining network topology and information theory to construct representative brain networks
Network Neuroscience, 2020 Network neuroscience employs graph theory to investigate the human brain as a complex network, and derive generalizable insights about the brain’s network properties.
A. Luppi, E. Stamatakis
semanticscholar +1 more source