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Replication Data for: Predicting Community Evolution in Social Networks

By Stanisław Saganowski · as credited by the source

Published 2018-04-20 · Replication data for articles

Deposited on Harvard Dataverse doi:10.7910/DVN/TWULOX licence: see repository 25 files
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About this dataset

Replication Data for: Predicting Community Evolution in Social Networks. There are 25 data sets obtained from 3 real-world sources: DBLP, Facebook, Salon24. Data sets correspond to different evolution chain lengths, from 2 to 10. For the Salon24 source the limited amount of data is provided due to extremely large number of data for longer chains. Data sets have different number of features. The class being classified is "eventX_Y". It can have the following values: continuing, dissolving, growing, merging, shrinking, splitting. Data sets are in CSV format with header row. Please note, that thi …

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: Predicting Community Evolution in Social Networks},
  author    = {Saganowski, Stanisław},
  year      = {2018},
  publisher = {Harvard Dataverse},
  doi       = {10.7910/DVN/TWULOX},
  url       = {https://doi.org/10.7910/DVN/TWULOX}
}

Research that uses it

No published research on E2ER uses this dataset yet.

Description

Data model
Discipline
Computer science
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-twulox · JSON

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