@inproceedings{bcd1ced1ceb94d03894d2c1640a9fc5f,
title = "Influencer detection approaches in social networks: A current state-of-the-art",
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.",
keywords = "Influencers, Opinion Leaders, Social Networks, Word-of-Mouth Marketing",
author = "Puigb{\`o}, \{Jordi Ysard\} and Germ{\'a}n S{\'a}nchez-Hern{\'a}ndez and M. Casabay{\'o} and N. Agell",
year = "2014",
doi = "10.3233/978-1-61499-452-7-261",
language = "English",
series = "Frontiers in Artificial Intelligence and Applications",
publisher = "IOS Press",
pages = "261--264",
editor = "Nuria Agell and Oriol Pujol and Lledo Museros",
booktitle = "Artificial Intelligence Research and Development - Recent Advances and Applications",
address = "Netherlands",
note = "17th International Conference of the Catalan Association for Artificial Intelligence, CCIA 2014 ; Conference date: 22-10-2014 Through 24-10-2014",
}