Evolving networks
The dynamic random subgraph model for the clustering of evolving networks
... dynamic networks with binary or more generally typed edges, for which a partition of the nodes is ...for evolving networks that we call the dynamic RSM (dRSM) ...
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Evolving Networks with Distance Preferences
... dynamic networks, and so, several types of graph models have been proposed for capturing the properties of specific networks [1, 2, ...particular, evolving networks can be modelled through ...
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STVG: an evolutionary graph framework for analyzing fast-evolving networks
... replicated from one snapshot to another with few computational and storage limitations because of the coarse temporal resolution. The challenge is that for fast-evolving net- works, where the evolutionary analysis ...
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Link prediction in evolving networks based on popularity of nodes
... Real networks are highly dynamic with the come-and-go of nodes and edges 32 ...real networks, in particular, the trend of nodes: yes- terday active nodes that contacted numerous neighbors may be unpopular ...
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Evolving Networks of Inventors
... We have modelled a knowledge system with different levels of substitutability between agents and between fields, and examined the resulting patterns of networking and knowl- edge production. Looking at the effects of the ...
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Community Detection In Evolving Networks
... The modularity function is by far the most used and most significant quality function. Girvan and Newman used it as a stopping criteria for their divisive algorithm. Since then a variety of algorithms have been proposed ...
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Regional and inter-regional effects in evolving climate networks
... interaction networks are inferred from measures of statistical association, time series reflecting a long time interval are convenient in order to obtain robust estimates of an association ...temporal ...
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Computing on evolving social networks
... • Wisdom of crowds effect on real-world social networks. This phenomenon has been largely studied and analyzed over the past decade, but no one has examined its dynamics in social networks resulting from ...
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Ranking in evolving complex networks
... Complex networks have emerged as a simple yet powerful framework to represent and analyze a wide range of complex ...complex networks is critical for a broad range of real-world problems because it affects ...
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On the radius of centrality in evolving communication networks
... in evolving communication ...real-life evolving networks: the MIT reality mining data set, consisting of daily communi- cations between 106 individuals over the period of one year, a UK Twitter ...
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Particle Swarm Optimization for Automatically Evolving Convolutional Neural Networks for Image Classification
... computational cost when generating CNN model architec- tures from scratch. A novel network morphism operation is combined with a greedy search algorithm (i.e. hill-climbing) for generating an optimal architecture in ...
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Towards Evolving More Brain-Like Artificial Neural Networks
... static networks, which means that the synaptic connections in the ANN do not change their strength during the lifetime of the ...of evolving adaptive ANNs, a significant problem is that local learning rules ...
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Evolving Artificial Neural Networks using Cartesian Genetic Programming
... EANT encodes full ANNs as linear genomes describing a weighted tree structure with additional weighted jumper connections between nodes; see Figure 2.12. These jumper connections can be feed-forward or recurrent enabling ...
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AFRAID: Fraud Detection via Active Inference in Time-evolving Social Networks
... In this work, we discussed how active inference can foster classification in time-varying networks. We applied AFRAID , a new active inference approach for time-evolving graphs, to a real-life data set ...
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Recruiting New Genes in Evolving Genetic Networks: Simulation by the Genetic Algorithms Technique
... good-score networks studied (112 + 94) included at least one new recruit acting upstream of the obligatory genes: the obligatory genes were targets of the ...all networks studied included at least one (but ...
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Evolving multiplayer networks: Modelling the evolution of cooperation in a mobile population
... During this time, there will be a sequence of contests among individuals with the same interactive strategy but different staying propensities and the population will eventually evolve t[r] ...
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Spatio-temporal pattern recognition with evolving spiking neural networks
... N.Kasabov, Evolving connectionist systems: The Knowledge engineering approach, Springer 2007 (first edition 2003). N.Kasabov, Foundations of neural networks, fuzzy systems and knowledge [r] ...
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Catalytic thermal degradation of Chlorella Vulgaris: Evolving deep neural networks for optimization
... Conventional practices in training neural network for the application of TGA analysis considers single-hidden layer neural networks (Abbas et al., 2003). Although researchers acknowledge that the consideration of ...
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Cooperative Co-Evolving Neural Networks for Robosoccer Simulation
... While the Real GA in Section II seems to be an adequate framework for optimizing weights, it does not provide an adequate mechanism for optimizing the structure. Since the number of rules is discrete, binary GA is ...
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Time Evolving Undirected Graphical Model for Protein-Protein Interaction Networks
... In 2011, Jun Sung Joon has presented a fast parallel implementation using commodity graphics hardware based a well-known sequential complex finding algorithm to address the computational challenge. This parallel ...
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