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This article focuses on the visualization of parallel modeling of dynamic processes on complex networks. The proposed method based on the parallel visualization of each part of parallel algorithm of modeling. This approach is applied to visualization of the stochastic Kronecker graph. The experiments have shown that our approach facilitates the visual analysis and helps to investigate the dynamic...
In this paper we discuss the possibility of generating complex networks by multi-swarm Particle Swarm Optimization algorithm. A methodology is proposed and visualizations of created networks are presented. Also we discuss the future possibility of employing advanced complex network analysis to improve the performance of the multi-swarm PSO.
In this paper, an initial small-scale study is carried out. It is proposed that using the complex network analysis it may be possible to make a classification of the fitness landscape type. A complex network is constructed from the inner dynamics of the population in PSO algorithm. The mean and maximal number of links in the network is then evaluated alongside with other basic statistic characteristics...
The paper presents human-computer interaction model developed with the use of user's affective state. The model can be used within virtual and augmented reality systems. The application for complex networks analysis based on the proposed model and BigData concept is described. The application provides the user with the ability to perform visual analysis of complex network within virtual environment...
In a complex network, communities are groups of nodes that are densely connected inside while sparsely connected to the outside. The study of such communities is crucial in exploring the structure of a network, especially when small communities form larger ones that in turn group together to build even larger ones, resulting in a hierarchy. Besides, fence-sitting nodes, nodes shared among different...
UCINET, Pajek, Networkx, iGraph, JUNG and statnet, are commonly used to perform analysis with complex network model. The scalability, and function coverage of these six software packages are assessed and compared. Some randomly generated datasets are used to evaluate the performance of these software packages with regard to input/output (I/O), basic graph algorithms, statistical metrics computation,...
Complex adaptive system (CAS) theory is used to analyze the e-commerce system and the concept of e-commerce transaction network is proposed. The e-commerce transaction network can be viewed as a complex network which is constructed by transaction behaviors between buyers and sellers. Then we give a formal definition of the e-commerce transaction network and establish a multi-agent model for e-commerce...
Applying complex network theory to the module division field. Constraint relations between components of product were retrieved. Constraint relation network of product was built. Edge betweenness of every edge of the network was calculated. A module division method based on edge betweenness was presented.
This paper presents a novel approach of overlapping communities generation for online support forums. Different from traditional online forums that provide the most similar or relevant information to respond to a user query, the approach proposed in this paper manages online forums and provides user support based on overlapping communities. Inspired by natural societies, a forum is deemed as a complex...
We investigate inflection structure of a synthetic language using Latin as an example. We construct a bipartite graph in which one group of vertices correspond to dictionary headwords and the other group to inflected forms encountered in a given text. Each inflected form is connected to its corresponding headword, which in some cases in non-unique. The resulting sparse graph decomposes into a large...
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