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Modularity values in the 4 different simulated networks Modularity.
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2015-10-29
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Text analysis using Grounded Theory and network community detection
Methodology to review literature using qualitative Grounded Theory coding techniques and quantitative network analysis community detection.This repository contains the raw data and analytical code in
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Average number of communities in the network of navpoints and average minimum number of communities containing 90% of the nodes.
The top part refers to existing partitions and the bottom part to the unsupervised partitions. Results were obtained averaging over 28 days, with standard deviations taken as error bars.
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Dependence of ComMat performance on the community size.
Dependence of ComMat performance on the community size.
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Probabilistic Community Detection With Unknown Number of Communities
A fundamental problem in network analysis is clustering the nodes into groups which share a similar connectivity pattern. Existing algorithms for community detection assume the knowledge of the number
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Characteristics of real-world datasets.
Understanding community structures is crucial for analyzing networks, as nodes join communities that collectively shape large-scale networks. In real-world settings, the formation of communities is of
Figshare2025-11-11 更新20
