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Herramientas web para la medición de la influencia digital

Análisis de klout y PeerIndex

Bibliographic Data

ID12624722
AuthorsJavier Serrano-Puche (0000-0001-6633-5303, corresponding author)
Year2012
Volume21
Issue3
Pages298-303
Publication date2012-05-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEl Profesional de la Informacion (JOURNAL)
Journal identifiersISSN: 1386-6710 • E-ISSN: 1699-2407
PublisherEdiciones Profesionales de la Informacion SL (PUBLISHER)
DOI10.3145/epi.2012.may.11
OpenAlexW2082131272
LanguageES
Citations received8
References cited3

The digital realm increasingly recognizes the relevance of “opinion leaders” or influential users: those who, through their online activity (publishing tweets and blog posts, updating social networks status, recommending readings, etc.) create or filter content to people over whom they exert personal influence. Hence the proliferation of tools that assess the influence of a person or brand by monitoring use of social media. The article discusses the two most important tools: Klout and PeerIndex, explaining the parameters that form the basis of their measurement algorithms as well as the deficiencies of these models of analysis. Understanding how digital influence is exercised and how to measure it is one of the most interesting questions of the “2.0” phenomenon

Advertising · Art · Business · Epistemology · Filter (signal processing · Humanities · Phenomenon · Political science · Publishing · Realm · Relevance (law · Social media · Sociology · World Wide Web · Communication and COVID-19 Impact · Computer Science · Cultural and political discourse analysis · Journalism and Media Studies · Philosophy · Psychology

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    G Weimann, Hans‐bernd Brosius et al.•International Journal of Public…•1994

  • Social Network Sites

    Open Access•Drick Boyd, Danah M Boyd et al.•Journal of Computer-Mediated…•2007

Unique citing works8
Citations per year0,57
Citation span2012 - 2020 (9)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 8

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