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Networks and Graphs

Elastodynamics on graphs: wave propagation on networks of plates

Elastodynamics on graphs: wave propagation on networks of plates

... or networks of plates, extending ideas developed in the context of quantum graphs [1, 2, ...quantum graphs has novel and interesting theoretical features, emerging, for example, from the need to take ...

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Random Graphs and Social Networks: An Economics Perspective

Random Graphs and Social Networks: An Economics Perspective

... on networks emphasizes three strands of the literature on social ...endogenous networks on parameters of the behavioral models ...social networks that result from uncoordinated random action of indi- ...

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Wirelength of Circulant Networks into Wheel Related Graphs

Wirelength of Circulant Networks into Wheel Related Graphs

... Circulant graphs are an important class of topological structures of interconnection networks which have been used for decades in the design of computer and telecommunication networks due to their ...

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Overlapping Clustered Graphs: Co-authorship Networks Visualization

Overlapping Clustered Graphs: Co-authorship Networks Visualization

... Abstract. The analysis of scientific articles produced by different groups of au- thors helps to identify and characterize research groups and collaborations among them. Although this is a quite studied area, some ...

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Multi-training sensor networks with bipartite conflict graphs

Multi-training sensor networks with bipartite conflict graphs

... The remainder of this paper is organized as follows. Sec- tion 2 discusses the background of sensor network training used throughout the work. Section 3 and 4 presenting the theoretical of the algorithm for the protocol ...

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Sum-networks from undirected graphs: Construction and capacity analysis

Sum-networks from undirected graphs: Construction and capacity analysis

... sum- networks for which we can determine the capacity. These sum-networks are in general, smaller (with fewer sources and terminals) than sum-networks known to achieve the said capacity and answer a ...

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Static Analysis of Boolean Networks Based on Interaction Graphs: A Survey

Static Analysis of Boolean Networks Based on Interaction Graphs: A Survey

... regulatory networks: those inter- action graphs are generally the most reliable information on the biological system, while few knowledge on their precise behaviours are ...

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The Domination Number of On-line Social Networks and Random Geometric Graphs

The Domination Number of On-line Social Networks and Random Geometric Graphs

... social networks (or OSNs) such as Facebook have emerged as a hot topic within the network science ...complex networks, such as: power-law degree distributions [2, 13], high local cluster- ing [36], constant ...

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Modeling complex networks with self-similar outerplanar unclustered graphs

Modeling complex networks with self-similar outerplanar unclustered graphs

... of graphs which are planar, modular, have a degree hierarchy and are also ...the graphs have clustering ...real networks like some social and technical networks [26, ...these networks ...

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Aggregating Vulnerability Metrics in Enterprise Networks Using Attack Graphs

Aggregating Vulnerability Metrics in Enterprise Networks Using Attack Graphs

... attack graphs represent the logical inter-relationship among possible attack steps, it is natural to combine attack graphs and individual vulnerability metrics to calculate security risk metrics for an ...

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Generation and Applications of Knowledge Graphs in Systems and Networks Biology

Generation and Applications of Knowledge Graphs in Systems and Networks Biology

... The second step in the query builder allows users to gen- erate subnetworks based on nodes, edge annotations and references of interest by using one or several ‘seeding meth- ods’. An example of seeding method that most ...

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Random graphs, social networks and the internet Lecture 4

Random graphs, social networks and the internet Lecture 4

... I Some directed graphs exhibit high levels of correlation between the number of inbound neighbors and the number of outbound neighbors of a given vertex. I These properties influence how fast a message can spread ...

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Measuring Security Risk of Networks Using Attack Graphs

Measuring Security Risk of Networks Using Attack Graphs

... We model such composition of vulnerabilities through attack graphs. By simulating incremental network penetration, and propagating attack likelihoods, we measure the overall security of a net- worked system. From ...

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Aggregating vulnerability metrics in enterprise networks using attack graphs

Aggregating vulnerability metrics in enterprise networks using attack graphs

... e National Institute of Standards and Technology, Gaithersburg, MD, USA Quantifying security risk is an important and yet difficult task in enterprise network security manage- ment. While metrics exist for individual ...

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Determining Vision Graphs for Distributed Camera Networks Using Feature Digests

Determining Vision Graphs for Distributed Camera Networks Using Feature Digests

... Our results made the assumption that the sensor nodes and vision graph were fixed. However, cameras in a real network might change position or orientation after deploy- ment in response to either external events (e.g., ...

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Graphs and networks theory

Graphs and networks theory

... these networks are determined by this ...the networks representing a real-world system we need an awful amount of information, such as: number of nodes and links, degree distribution, degree-degree ...

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From Random Graphs to Complex Networks:

From Random Graphs to Complex Networks:

... about networks, this experiment later coined the phrase “six degrees of separation,” which is not only the title of a play [25] but also the basic idea behind the small world effect as discussed in subsection ...

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Implementing Efficient Graphs in Connection Networks

Implementing Efficient Graphs in Connection Networks

... Figure 1: Symmetric networks with a common source and two sinks concerns. Road maintenance taxes based on the miles driven by every user have been used in pilot programs in Oregon since January 2009, and other ...

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Farey graphs as models for complex networks

Farey graphs as models for complex networks

... Farey graphs. These graphs were first introduced by Matula and Kornerup in 1979 and further studied by Colbourn in 1982 and they have many interesting properties: they are minimally 3-colorable, uniquely ...

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Kronecker Graphs: An Approach to Modeling Networks

Kronecker Graphs: An Approach to Modeling Networks

... Kronecker graphs by using the maximum likelihood ...for graphs with more than tens of ...large graphs that we consider, as one needs to evaluate the probability of each possible ...large ...

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