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Data · dataset · 2023

Experimental Data for Community Detection on Node and Edge Importance Analysis

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Description

In order to verify the effectiveness and efficiency of the community detection algorithm on node and edge importance analysis, experiments are carried out on two types of datasets:(1) The synthetic network is generated by the LFR benchmark, and the submitted file contains the algorithm code, parameter meaning, and description information.(2) The real-world network is selected from the Stanford Network Analysis

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SNAP (snap.stanford.edu/data/index.html#socnets), and the submitted file contains the preprocessed network data and description information.

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Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
ScienceDB10.57760/sciencedb.j00133.0022612 d agoJSON v1
FieldAssertionExtractorEvidence
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