Weighted Networks
Reciprocity of weighted networks
... directed networks, reciprocal links have dramatic effects on dynamical processes, network growth, and higher-order structures such as motifs and ...binary networks has been extensively studied, that of ...
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Voter models on weighted networks
... Many technological, biological and social networks are intrinsically weighted. Each link has associated an additional variable, called weight, which gauges the intensity or traffic of that connection, and ...
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Mean-field diffusive dynamics on weighted networks
... weighted networks. We also propose the concept of annealed weighted networks, in which such equations become ...scale-free networks from the mean-field ...on weighted ...
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Optimal Routing Strategy on Weighted Networks
... deletes the edges according to the product of the strengths of the nodes at the end of the edge is proved to be the most feasible. Meanwhile, the small-world phenomenon of the average weighted average length is ...
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Significance-based community detection in weighted networks
... for networks with weighted edges, (ii) we present a community extraction method based on hypothesis tests under the null, and (iii) we analyze the consistency properties of the method’s core algorithm with ...
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Estimating topological properties of weighted networks from limited information.
... reconstruct weighted networks, resorting on a minimal amount of available information: the total number of connections, and the values of the fitness for each node, whose role will be played by the ...
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Abnormal wiring of the connectome in adults with high-functioning autism spectrum disorder
... density-weighted networks. In both networks, global efficiency was significantly lower in sub- jects with ...binary networks, the normalized characteristic path length was increased, and in ...
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Concept networks of students’ knowledge of relationships between physics concepts: finding key concepts and their epistemic support
... and weighted networks, where nodes are concepts and links represent different types of connections between concepts, and where each link is assumed to provide epistemic support to the node it is connected ...
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A weighted communicability measure applied to complex brain networks
... real-world networks information can disseminate along non-shortest paths (Borgatti 2005, Newman 2005) and for such networks any meaningful mea- sure of ‘communicability’ should account not only for the ...
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An information-theoretic, all-scales approach to comparing networks
... compares networks based entirely on the structure of their respective topologies: the measure is independent of how the nodes in the network are indexed and, further, does not assume the networks are ...
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Feature Characterization in Some Weighted Directed Networks
... social networks [4], biology networks [5], technological networks [6] or information networks ...these networks are frequently very large, some of their features must be analyzed from a ...
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Wilson_unc_0153D_15574.pdf
... Our primary contributions are to the development and application of statistical methodology for complex network data. This work can be divided naturally into two areas. We first consider the problem of clustering the ...
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Finding a weighted positive influence dominating set in e-learning social networks
... social networks to spread ideas and information within a group ...social networks might offer considerable benefit to both the economy and ...in networks to detect the spread of virus as soon as ...
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Lebacher, Michael (2019): New approaches in statistical network data analysis. Dissertation, LMU München: Fakultät für Mathematik, Informatik und Statistik
... The problem of how to obtain predictions for unknown entries of a matrix, given restrictions on the row and column sums is a problem that comes with many labels. Without a sharp distinction of names and fields, some non ...
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Opisthenar : hand poses and finger tapping recognition by observing back of hand using embedded wrist camera
... Convolutional Networks (LRCN) and later we settled at ii) Two-Stream Convolutional Network (TS-CNN) architec- ...two-stream networks, the first stream typically uses a color or gray scale image while the ...
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Multi-Criteria Handover Using Modified Weighted TOPSIS Methods for Heterogeneous Networks
... MADM techniques are widely adopted recently in making decisions for multiple criteria problems. One of the most widely used MADM method is the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). ...
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Adoption of M- Wallet: A way Ahead
... [5] Shusuke Narieda, Simple Diversity Combining Techniques for Cyclostationarity Detection Based Spectrum Sensing in Cognitive Radio Networks. Vehicular Technology Conference (VTC Spring), 2014 IEEE 79 th . [6] ...
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Weighted Route Selection in Cluster-Based Protocol forWireless Sensor Networks
... A well-known evolution of LEACH is Hybrid Energy- Efficient Distributed (HEED) [19]. The HEED clustering protocol uses a hybrid criterion for CH selection. It considers the residual energy of each node to elect tentative ...
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Modeling and Performance Analysis of Weighted Priority Queueing for Packet Switched Networks
... in weighted fair ...of weighted priority queueing and uses dis- crete-event simulation of this model to obtain performance characteristics of simple queueing ...
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Comparative Study of Weighted Clustering Algorithms for Mobile Ad Hoc Networks
... The primary goal of ad hoc network routing protocols is to provide correct and efficient route establishment between pair of nodes, so that the messages may be delivered on time [3]. Route construction should be done ...
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