Random Networks
Spatially embedded random networks
... real-world networks analyzed in modern network theory have a natural spatial element; ...social networks, neural networks, ...embedded random networks construction is not primarily ...
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Resilience of networks to environmental stress : from regular to random networks
... To address this, we consider a simple network model where all nodes are subject to a common external con- dition. Each node, when isolated, can change abruptly its state (e.g., from active to collapsed) via saddle-node ...
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Speed of complex network synchronization
... directed networks which exhibit different dynam- ics: Kuramoto phase oscillators coupled via phase differ- ences, higher-dimensional periodic Rössler systems cou- pled diffusively as well as neural circuits with ...
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Analysis of Average Shortest-Path Length of Scale-Free Network with Secure Routing
... real-world networks which have recently revived network modelling and resulted in an enormous number of studies in network ...First, random networks: despite the fact that their properties deviate ...
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The envirome and the connectome: exploring the structural noise in the human brain associated with socioeconomic deprivation
... cal networks, while the networks derived from the fine-grained parcellations also include the meso/microscale connections rep- resenting regional/local ...and random networks in the most ...
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Fitting a geometric graph to a protein-protein interaction network
... the random geometric graph model gives an excellent fit for various global and local measures of PPI networks such as pathlengths, clustering coefficients, relative graphlet frequencies (Przˇulj et ...PPI ...
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Łukasiewicz-Topos Models of Neural Networks, Cell Genome and Interactome Nonlinear Dynamic Models
... in random genetic networks, and could be presumably studied in Łukasiewicz Logic extensions of random genetic networks, rather than in strictly Boolean logic ...of random genetic ...
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Universality in protein residue networks
... Residue networks representing 595 nonhomologous proteins are ...These networks exhibit universal topological characteristics as they belong to the topological class of modular networks formed by ...
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'Clumpiness' mixing in complex networks
... real-world networks are located below the envelope function obtained for random ...ER random graph having the same relative clumpiness coefficient Φ ( ) G but having the maximum possible clumpiness ...
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Connectivity of Random 1-Dimensional Networks
... sensor networks have been exten- sively investigated ...of random networks or graphs are summarized in ...One-dimensional networks are simple, but are widely used in practice for monitoring ...
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Highly enhanced gas sensing in single walled carbon nanotube based thin film transistor sensors by ultraviolet light irradiation
... nanotube networks are easily deposited from the solution and represent an attractive path to large-scale device manufacturing ...s-SWCNT random networks from a s-SWCNT solution onto a wafer using an ...
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Characterizing the evolution of climate networks
... 2014). Networks generated from START undergo a distinct transition when the forcing parameter F is changed: for F = − 1 the network is partitioned into two vertical connected areas; for F = 0 hori- zontal ...
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Simulation Based Analysis of Target Area Calculation and Key Pre Distribution Scheme in WSNs using Node Deployment Knowledge
... strategies, random and grid and a simple random key distribution scheme for wireless sensor networks and analysed the implications of these schemes for the performance metrics, connectivity, ...
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Non-Orthogonal Random Access scheme in Spatial Group Based Random Access for 5G Networks
... retrying random process if the UE fails the ACB ...and random access network (RAN) overload control, in which the access barring parameter is adaptively changed based on the amount of available RBs and the ...
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Wireless networks: new models and results
... wireline networks is proved by performing separate channel and network coding in the ...in networks from different viewpoints such as network management, security, ...wireline networks, in which ...
208
Implementation of Enhanced New Stable Election Protocol ENHSEP in NS2 Platform
... sensor networks have a certain lifetime during which nodes have limited energy, by using that energy the nodes collect the information from different nodes of the network, process it and transmit to the ...
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ENERGY EFFICIENT ADAPTIVE BROADCASTING SCHEME FOR WIRELESS SENSOR NETWORKS
... Hanashi et al. [16] proposed another dynamic probabilistic approach, which assign the value of the rebroadcast probability for every host node in relation to its neighbor’s information. Jeong et al. [17] proposed an ...
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Learning versus optimal intervention in random Boolean networks
... In previous work (Karlsen and Moschoyiannis 2018a), we have applied rule-based machine learning in the form of an “eXtended Classifier System” (XCS) (Wilson 1995; 1998) to the problem of controlling random Boolean ...
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Target guiding self avoiding random walk with intersection algorithm for minimum exposure path problem in wireless sensor networks
... Voronoi diagram-based approach is proposed in ref. [26]. In this approach, the detecting region is divided into n ( n is the sensor number) polygons according to the geometric positions of sensors, and each polygon is ...
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Controllability of social networks and the strategic use of random information
... social networks are typically assortative [48], although some recent experiments have shown that during the evolution a network could transit from assortative to disassortative [49]), and thus they have a limited ...
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