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ZENODO
Dataset . 2019
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2019
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2019
License: CC BY
Data sources: Datacite
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https://doi.org/10.5281/zenodo...
Dataset . 2019
License: CC BY
Data sources: Sygma
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SIMPATICO Logs Final Trento Dataset v1.0

Authors: Gerosa, Matteo; Kazhamiakin, Raman; Trainotti, Michele; Pistore, Marco;

SIMPATICO Logs Final Trento Dataset v1.0

Abstract

SIMPATICO logs for the user evaluation of Trento in project iterations 1 and 2 The current package contains the Interaction LOG data captured in the Trento two evaluations of the results of H2020 project SIMPATICO that were undertaken from September 2017 to January 2019. The data is exported from the Elasticsearch instance that was used to log all of the interaction data. The data model for this can be found in project deliverable "D3.3 Advanced Methods And Tools For User Interaction Automation". For more information about the setup for conducting the tests and the results achieved please consult project deliverable "D6.6 SIMPATICO Evaluation Report v2". All project deliverables, except where noted, are public and are available at Zenodo community reachable at https://zenodo.org/communities/h2020-simpatico-692819. The following caveats need to be highlighted for this data set: - The format is JSON (Javascript objects) as provided by Elasticsearch. - Data is completely anonymized: no traces of personal data for any of the participants can be found in this file. Individual user logs can be traced from the "userID" field that is stored, containing either a unique identifier that is backed to a logged-in user (in the cases in which just a number is stored) or a user who is interacting but has not yet logged (this is signified by the "no_user_logged_" prefix, followed by another unique identifier that can trace users interacting before login).

Related Organizations
Keywords

dataset, interaction, simpaticoh2020, logs, Trento

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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