approved
Ephemerality metric

https://github.com/HPAI-BSC/ephemerality

Code for calculating the ephemerality metrics that can be used to estimate how "ephemeral" discussion topics are based on their temporal dynamics, that is how persistent (or not) these discussions are through time. 2 versions of the metric are provided, ephemerality 2 and ephemerality 4 as described in https://arxiv.org/abs/2203.11261. The expected input is a temporal vector representing the discussion in question (e.g. the number of tweets per day) and, optionally, the output file name. The results are printed in the stdout and, if the file name was provided, saved to it in JSON format.

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Additional Info
Field Value
Accessibility Both
AccessibilityMode Download
Availability On-Line
Basic rights Making available to the public
Basic rights Communication
Basic rights Modification
Basic rights Distribution
Basic rights Copying
Basic rights Download
CreationDate 2022-05-09
Creator Gnatyshak, Dmitry, [email protected], orcid.org/0000-0001-6779-6283
Field/Scope of use Any use
Github repository https://github.com/HPAI-BSC/ephemerality
Group Societal Debates and Misinformation
Owner Gnatyshak, Dmitry, [email protected], orcid.org/0000-0001-6779-6283
ProgrammingLanguage Python
RelatedPaper https://arxiv.org/abs/2203.11261
Sublicense rights No
Territory of use World Wide
Thematic Cluster Social Network Analysis [SNA]
input Discussion topic frequency vector in CSV format
output JSON file
system:type Method
Management Info
Field Value
Source https://github.com/HPAI-BSC/ephemerality
Author Gnatyshak Dmitry
Maintainer Gnatyshak Dmitry
Version 0.1
Last Updated 16 September 2023, 10:11 (CEST)
Created 13 May 2022, 05:02 (CEST)