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

N. Agell; M. Casabayó; Jordi-Ysard Puigbò; German Sánchez Hernández

doi:10.3233/978-1-61499-452-7-261

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

N. Agell, M. Casabayó, Jordi-Ysard Puigbò, German Sánchez Hernández

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Producció científica: Capítol de llibre › Capítol

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 original	Anglès
Títol de la publicació	Artificial Intelligence Research and Development: Recent Advances and Applications
Pàgines	261-264
DOIs	https://doi.org/10.3233/978-1-61499-452-7-261
Estat de la publicació	Publicada - 22 d’oct. 2014

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10.3233/978-1-61499-452-7-261

Com citar-ho

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abstract = "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.",

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

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