RT Journal Article
T1 Bridging the Gap Between the Least and the Most Influential Twitter Users
A1 Del-Campo-Ávila, José
A1 Moreno-Vergara, Natalia
A1 Trella-López, Mónica
K1 Redes de información
K1 Comunicación - Análisis de red
K1 Medios de comunicación social - Influencia
AB Social networks play an increasingly important role in shaping the behaviour of users of the Web. Conceivably Twitter stands out from the others, not only for the platform's simplicity but also for the great influence that the messages sent over the network can have. The impact of such messages determines the influence of a Twitter user and is what tools such as Klout, PeerIndex or TwitterGrader aim to calculate. Reducing all the factors that make a person influential into a single number is not an easy task, and the effort involved could become useless if the Twitter users do not know how to improve it. In this paper we identify what specific actions should be carried out for a Twitterer to increase their influence in each of above-mentioned tools applying, for this purpose, data mining techniques based on classification and regression algorithms to the information collected from a set of Twitter users.
PB Elsevier
YR 2013
FD 2013
LK http://hdl.handle.net/10630/5722
UL http://hdl.handle.net/10630/5722
LA eng
NO http://dx.doi.org/10.1016/j.procs.2013.06.059
NO This work has been partially founded by the European Commission Project ”SiSOB: An Observatorium for Sciencein Society based in Social Models” (http://sisob.lcc.uma.es) (Contract no.: FP7 266588), ”Sistemas Inalámbricosde Gestión de Información Crítica” (with code number TIN2011-23795 and granted by the MEC, Spain) and ”3DTUTOR:Sistema Interoperable de Asistencia y Tutoría Virtual e Inteligente 3D” (with code number IPT-2011-0889-900000 and granted by the MINECO, Spain)
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 19 ene 2026