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Data · dataset · 2016

Meme popularity and diffusion

Listed in DataCite

Temporal dynamics of popularity for different memes from scientific publication titles, search queries from Google Trends and Wikipedia item views.

Description

The time granularity can be day, week, month or year, which is noted in the file names. The dataset and code from our working paper: Leihan Zhang, Jichang Zhao* and Ke Xu.

Sleeping beautifies in Meme Diffusion, arXiv:1604.07532, 2016. arxiv.org/abs/1604.07532.

Links

Topics

Inferred from text
Data management and data science 69%

Related

Provenance · 1 source records, 12 field assertions
SourceKeyLast seenRaw
DataCite10.6084/m9.figshare.318715913 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · DataCiteconnector:datacite@1.0.0/data/attributes/rightsList
byte_sizesource · DataCiteconnector:datacite@1.0.0
concepts[field].anzsrc:group:4605enrichment · DataCitetaxonomy-embedding@1.1.0title+keywords+description (69%)
concepts[field].fos:computer-and-information-sciencessource · DataCiteconnector:datacite@1.0.0
concepts[field].fos:media-and-communicationssource · DataCiteconnector:datacite@1.0.0
concepts[field].fos:physical-sciencessource · DataCiteconnector:datacite@1.0.0
created_datesource · DataCiteconnector:datacite@1.0.0
descriptionsource · DataCiteconnector:datacite@1.0.0/data/attributes/descriptions
licensesource · DataCiteconnector:datacite@1.0.0/data/attributes/rightsList
publication_datesource · DataCiteconnector:datacite@1.0.0/data/attributes/dates
titlesource · DataCiteconnector:datacite@1.0.0/data/attributes/titles/0/title
updated_datesource · DataCiteconnector:datacite@1.0.0