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Replication Data for: Analysis of group evolution prediction in complex networks

By Stanisław Saganowski · as credited by the source

Published 2018-03-06 · Replication data for articles

Deposited on Harvard Dataverse doi:10.7910/DVN/ONOFS7 licence: see repository 280 files
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About this dataset

Replication Data for: Analysis of group evolution prediction in complex networks. There are 28 data sets obtained from 7 real-world sources: Digg, Facebook, Infectious, IrvineMessages, Loans, MIT, Slashdot. Data sets are in CSV format with header row. Each data set is divided into 5x2 folds, which were used for 10-fold cross validation. Data sets have different number of features. The class being classified is "event_type". It can have the following values: continuing, dissolving, growing, merging, shrinking, splitting.

Collection: Replication data for articles

group evolution predictionGEP methodmachine learningSNA

Use it in a run

Download the files into your project's data/ folder and start a template. The data stay on your machine; the published research records the DOI, so the authors are credited.

e2er run "<your research question>"

Automatic download by DOI is planned.

Cite

@dataset{saganowski2018,
  title     = {Replication Data for: Analysis of group evolution prediction in complex networks},
  author    = {Saganowski, Stanisław},
  year      = {2018},
  publisher = {Harvard Dataverse},
  doi       = {10.7910/DVN/ONOFS7},
  url       = {https://doi.org/10.7910/DVN/ONOFS7}
}

Research that uses it

No published research on E2ER uses this dataset yet.

Description

Data model
Discipline
Computer scienceFinance
Method family
Replication
Design
not specified
Research stage
Data acquisition
Contributors
Stanisław Saganowski (Data curation)
Usage
not used in published research yet
Source
Harvard Dataverse · Replication data for articles
Record
dataset:dataverse/10-7910-dvn-onofs7 · JSON

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