Complex-Network Analysis
Using AHP to complex network analysis tools selection
... The analysis of complex networks become more popular through the easily access of huge network data resources in the last ...of complex network systems. This advanced analysis is ...
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Methods for longitudinal complex network analysis in neuroscience
... on complex network analysis in neuroscience focusing on a single effect at a time, these models offer new insight by allowing for the adjustment and testing of multiple effects at ...driving ...
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Complex network analysis of thermostable mutants of Bacillus subtilis Lipase A
... a network description – the “ Protein Contact Networks ” (PCNs) - whose nodes are the amino acids (residues) and the chemical interactions between closely- held residues are the ...Such complex ...
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Unveiling mobility complexity through complex network analysis
... it complex but also the com- plexity of his places. Similarly, for complex place, we do not take into account only the fact that it is a popular place ...
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Researching commuting to work using the methods of complex network analysis
... the network retain and even increase their position and have a hand in the development of the network (Barabási ...the network topology does not determine the development of particular ...
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Computational issues in complex network analysis
... “Complex network theory provides a powerful framework to statistically investigate the topology of local and non-local statistical interrelationships, ...
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Complex Network Analysis of Darknet Black Market Forum Structure
... The fact that smaller degree nodes tend to cluster more than the Configuration Model predicts and the convergence to this null model in the higher degree case might offer some insights in the interpretation of this ...
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Recent Progress in Complex Network Analysis. Models of Random Intersection Graphs
... Complex network models based on random intersection graphs help to explain and un- derstand some statistical properties of real networks, like the actor network where actors are linked by an edge ...
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Complex network analysis of teaching practices
... of complex, non-algorithmic thinking to solve a task in which there is not a predictable, well-rehearsed approach or pathway explicitly suggested by the task, task instructions, or a worked out ...
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Quantifying Semantics using Complex Network Analysis
... which we modeled as undirected graphs on the authors. An edge indicates at least one joint publication. In a sense, the citation numbers of individual publications within an occurrence of a motif can be aggregated to a ...
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A Survey of Graph Based Complex Brain Network Analysis Using Functional and Diffusional MRI
... based complex network analysis provides an important mathematical framework to characterize the global and regional topology in brain connectivity networks (Ribeiro de Paula et ...based ...
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Complex Network based Recommender System
... The principles and theories of Complex Networks apply to an intelligent computational area such as recommendation. To understand the scenario of recommendation very well, the antique approach of purchasing clothes ...
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Complex network of United States migration
... the complex network of human mobility in the United States (US) is not studied in ...migration network between counties and states in the US between 2000 and 2015 to analyze the overall structure of ...
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Aberrant Frontal and Temporal Complex Network Structure in Schizophrenia: A Graph Theoretical Analysis
... MTR-weighted analysis revealed changes in network topology dis- tributed diffusely across the frontal ...brain network (Kubicki et ...MTR network analysis mostly revealed decreases in ...
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The Terror Network Industrial Complex: A Measurement and Analysis of Terrorist Networks and War Stocks
... the network characteristics in terms of efficiency whilst (Krebs 2002) and (Raab and Milward, 2003) state efficiency as the resilience of the ...any network that has not been disrupted and has the ability ...
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Automatic schizophrenic discrimination on fNIRS by using complex brain network analysis and SVM
... brain network of 76 subjects, the basic attribute index of the network is calculated by using the formula of basic attribute value in complex network the- ...
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Time evolution and distribution analysis of software bugs from a complex network perspective
... On the SNA front, we observe (Tab 5.2) that many metrics are quite correlated with the num- ber of Issues (and Bugs), confirming the importance of considering SNA for bug analysis. All show the same correlation ...
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Study on Trusting Relationship in Complex Network
... NW network, there are only a few random edges, nodes can be linked with distant nodes by these random ...NW network is higher than in the nearest neighbor coupling ...ER network also has the ...
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NetSim: The framework for complex network generator
... the network gets ...generic network simulator and a set of analyses which have revealed some interesting, and previously unknown characteristics of the ...scale-free network from a random graph or ...
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Gene and Network Analysis of Common Variants Reveals Novel Associations in Multiple Complex Diseases
... with complex diseases, where different causal mutations of small effect may be present across ...with complex traits is to evaluate combinations of variants in known pathways or gene sets with shared ...
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