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공공누리This item is licensed Korea Open Government License

dc.contributor.author
Fischer, Julia
dc.contributor.author
Knapp, Daniel
dc.contributor.author
Nguyen, Bich Chau
dc.contributor.author
Richter, Daniel
dc.contributor.author
Shutsko, Aliaksandra
dc.contributor.author
Stoppe, Melanie
dc.contributor.author
Williams, Kelly
dc.contributor.author
Ilhan, Aylin
dc.contributor.author
Stock, Wolfgang G.
dc.date.accessioned
2021-11-24T01:11:37Z
dc.date.available
2021-11-24T01:11:37Z
dc.date.issued
2020-12-30
dc.identifier.issn
2287-4577
dc.identifier.uri
https://repository.kisti.re.kr/handle/10580/16181
dc.description.abstract
The objective of this research is to analyze which functions make up web-based as well as mobile social media services and messengers. Services are clustered by their functionality. A total of 640 individual functions were identified, while investigating altogether 44 selected services in their web and mobile versions. Applying content analysis, functions were assigned to the services. The services were ranked by the number of implemented functions, and the functions were ranked by their occurrence in the services. Cluster analysis was applied to classify the services according to their functionality. Facebook and VKontakte were found to be the ones with the most functions; the most frequently implemented functions are support, profile, and account-related. Cluster analysis revealed six classes for mobile and seven classes for web applications. There is a noteworthy difference regarding the functionality scope between web and mobile applications of the same services. An example for this is Mendeley with 38 functions in the mobile and 91 functions in the web version. This is the first empirical attempt at clustering social media services based on their functionality.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Korea Institute of Science and Technology Information
dc.relation.ispartofseries
Journal of Information Science Theory and Practice;Volume 8 Issue 4
dc.title
Clustering Social Media Services and Messengers by Functionality
dc.type
Serial
dc.identifier.doi
https://doi.org/10.1633/JISTaP.2020.8.4.1
dc.contributor.approver
KOAR, ADMIN
dc.date.dateaccepted
2021-11-24T01:11:37Z
dc.date.datesubmitted
2021-11-24T01:11:37Z
dc.subject.keyword
social media
dc.subject.keyword
instant messengers
dc.subject.keyword
cluster analysis
dc.subject.keyword
functionality
dc.subject.keyword
content analysis
dc.subject.keyword
function
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8. KISTI 간행물 > JISTaP > Vol. 8 - No. 4
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