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Discovering social structures of local influence by using tweetStimuli

Autor
Tejeda, J.; Sànchez-Marrè, M.; Pujol, J.M.
Tipus d'activitat
Article en revista
Revista
International journal of computer mathematics
Data de publicació
2014
Volum
91
Número
2
Pàgina inicial
291
Pàgina final
303
DOI
https://doi.org/10.1080/00207160.2013.849806 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/22664 Obrir en finestra nova
URL
http://www.tandfonline.com/doi/abs/10.1080/00207160.2013.849806#.UtWp4VBXuSo Obrir en finestra nova
Resum
Information diffusion in large-scale networks has been studied to identify the users influence. The influence has been targeted as a key feature either to reach large populations or influencing public opinion. Through the use of micro-blogs, such as Twitter, global influencers have been identified and ranked based on message propagation (retweets). In this paper, a new application is presented, which allows to find first and classify then the local influence on Twitter: who have influenced you a...
Citació
Tejeda, J.; Sanchez, M.; Pujol, J.M. Discovering social structures of local influence by using tweetStimuli. "International journal of computer mathematics", 05 Desembre 2013, p. 1-13.
Grup de recerca
IDEAI-UPC Intelligent Data Science and Artificial Intelligence
KEMLG - Grup d´Enginyeria del Coneixement i Aprenentatge Automàtic

Participants