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Small-world network

Advanced Pre-fetching Based Dynamic Data Replication under Small World Network Model

Advanced Pre-fetching Based Dynamic Data Replication under Small World Network Model

... as small world network, and performance assessment of A-PDDRA (Advanced Pre- bringing Based Dynamic Data Replication Algorithm) is carried out on small world network while ...

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Competitive Innovation Diffusion in Small World Network: Agent Based Modeling and Simulation

Competitive Innovation Diffusion in Small World Network: Agent Based Modeling and Simulation

... the small world ...in small world networks. The network applied in this paper is the small world network which contains 1000 ...

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Rumor Spreading and Degree Related Preference Mechanism on a Small World Network

Rumor Spreading and Degree Related Preference Mechanism on a Small World Network

... a small-world network disable the influence of the preferred rumor 1, and strengthen- ing the spread of rumor ...a small-world network does not have large highly connected groups ...

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Local Interactions and the Emergence of a Twitter Small World Network

Local Interactions and the Emergence of a Twitter Small World Network

... The interest of this study lies in the controversial online #FreeJahar activities calling for the freedom of the Boston bombing suspect DzhokharTsarnaev only because teenage girls believed he is “too beautiful to be a ...

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Small World Network of Athletes: Graph Representation of the World Professional Tennis Player

Small World Network of Athletes: Graph Representation of the World Professional Tennis Player

... our network of athletes would be in the term of whether or not a player ever met with other ...the world of sports aims to preserve sets of the game that would only let the best player turns out to be the ...

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The brainstem reticular formation is a small-world, not scale-free, network

The brainstem reticular formation is a small-world, not scale-free, network

... that small-world networks are more effective at learned pattern recall than regular or random networks (Morelli et ...a small-world network can be generated using a statistical approach ...

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Reusable Function Discovery by  Call Graph Analysis

Reusable Function Discovery by Call Graph Analysis

... scale-free network and small-world network: the distri- butions of in-degree and out-degree follow the low-power; a few nodes cover most of connections; and the call- graph shows large ...

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Agreement dynamics on small-world networks

Agreement dynamics on small-world networks

... the small-world topology and study the convergence towards the global agreement as a function of the population size N as well as of the parameter p which sets the rate of rewiring leading to the ...

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Disrupted small-world brain functional network topology in male patients with severe obstructive sleep apnea revealed by resting-state fMRI

Disrupted small-world brain functional network topology in male patients with severe obstructive sleep apnea revealed by resting-state fMRI

... altered small-world topology based on Rs-fMRI in OSA ...efficient small-world network, but the σ was significantly ...between small-world network properties and ...

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DETECTION ENVIRONMENT FORMATION METHOD FOR ANOMALY DETECTION SYSTEMS

DETECTION ENVIRONMENT FORMATION METHOD FOR ANOMALY DETECTION SYSTEMS

... the Small world complex network [23], of which each node has <k> links on the average, the assumption of complete connection seems unreasonable, hence the interest of implementing the ...

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Mapping functional connectivity of bursting neuronal networks

Mapping functional connectivity of bursting neuronal networks

... of network bursting. From these data, network properties were determined for these relatively large neuronal ...‘small-worldnetwork behavior existed throughout this time period, only ...

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An Adaptive Recommendation Method Based on Small-World Implicit Trust Network

An Adaptive Recommendation Method Based on Small-World Implicit Trust Network

... trust network G is a small-world ...the network G and get ...random network is much smaller than 1, the first condition of definition 5 is ...the network G and its corresponding ...

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SW-R2P: A Trusted Small World Overlay P2P Network with Zero Knowledge Identification

SW-R2P: A Trusted Small World Overlay P2P Network with Zero Knowledge Identification

... (P2P) network, we design a trusted small world overlay P2P network with the role based and reputation based access control policies, denoted as ...the small world topology with ...

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Power-aware Small World Topology in Ad Hoc Networks

Power-aware Small World Topology in Ad Hoc Networks

... of small world network. Merugu et al. [12] propose a small world overlay structure on top of an unstructured and decentralized P2P network, while Hui, Lui and Yau [13] implement ...

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PubMedCentral-PMC5362344.pdf

PubMedCentral-PMC5362344.pdf

... a network by identifying modules of densely interconnected nodes, but sparsely connected across different modules (Newman ...2006). Small-worldness and modularity provide rich quantitative insights into the ...

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Learning in Networked Interactions: A Replicator Dynamics Approach

Learning in Networked Interactions: A Replicator Dynamics Approach

... The strategic interaction between agents can be modelled in the form of a game, where each player (agent) has a set of actions, and a preference over the joint action space that is captured in the received payoffs. For ...

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Small world in a seismic network: the California case

Small world in a seismic network: the California case

... very small number of random edges, have a path length that is much smaller than that of a regular network, while the Cp is still close to that of a regular ...a small number of steps. This is equiv- ...

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The Statistical Feature Analysis and Simulation Study of Supply Chain Based on Fixed Spread Risk Probability

The Statistical Feature Analysis and Simulation Study of Supply Chain Based on Fixed Spread Risk Probability

... In simulation process, the initial network is set to 30 nodes and the number of suppliers, sellers and customers’ edge is set as 3, 5, 8 respectively. The ranges of the risk values are specified 30 to 50 at random ...

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Self similarity networks and self similarity network group

Self similarity networks and self similarity network group

... From above we know that the creating arithmetic of self-similarity network can be given according to the similar-degree between nodes. First each node can acquire its information and have some mutual effects among ...

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