Influencer detection approaches in social networks: A current state-of-the-art

Núria Agell Jané, Mónica Casabayó Bonás, Jordi-Ysard Puigbò, German Sánchez Hernández

Producció científica: Capítol de llibreCapítol

Resum

In this paper a literature review on approaches for influencer detection in social networks is conducted. The paper contributes with a comparison between the three most popular influencer detection tools, with an analysis of their methods and algorithms and with a list of proposed extending capabilities. The papers in this volume have been organized around different topics, providing a representative sample of the current state-of-the-art in the Catalan artificial intelligence community and of the collaboration between ACIA members and the worldwide AI community.
Idioma originalAnglès
Títol de la publicacióArtificial Intelligence Research and Development: Recent Advances and Applications
Pàgines261-264
DOIs
Estat de la publicacióPublicada - 22 d’oct. 2014

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