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Insights into Internet Memes

Bibliographic Data

ID7516300
AuthorsChristian Bauckhage (0000-0001-6615-2128, Fraunhofer Institute for Intelligent Analysis and Information Systems, corresponding author)
Year2021
Volume5
Issue1
Pages42-49
Publication date2021-08-03
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueProceedings of the International AAAI Conference on Web and Social Media (JOURNAL)
Journal identifiersISSN: 2162-3449 • E-ISSN: 2334-0770
PublisherAssociation for the Advancement of Artificial Intelligence (AAAI) (PUBLISHER)
DOI10.1609/icwsm.v5i1.14097
OpenAlexW89990147
LanguageEN
Citations received24
References cited6

Internet memes are phenomena that rapidly gain popularity or notoriety on the Internet. Often, modifications or spoofs add to the profile of the original idea thus turning it into a phenomenon that transgresses social and cultural boundaries. It is commonly assumed that Internet memes spread virally but scientific evidence as to this assumption is scarce. In this paper, we address this issue and investigate the epidemic dynamics of 150 famous Internet memes. Our analysis is based on time series data that were collected from Google Insights, Delicious, Digg, and StumbleUpon. We find that differential equation models from mathematical epidemiology as well as simple log-normal distributions give a good account of the growth and decline of memes. We discuss the role of log-normal distributions in modeling Internet phenomena and touch on practical implications of our findings

Data science · Epistemology · Internet privacy · Phenomenon · Popularity · Sociology · The Internet · World Wide Web · Complex Network Analysis Techniques · Computer Science · Evolutionary Game Theory and Cooperation · Opinion Dynamics and Social Influence · Psychology · Social Psychology

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Unique citing works24
Citations per year2
Citation span2014 - 2025 (12)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 20

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