Predicting potential responders in twitter: a query routing algorithm

Authors:
Cleyton Caetano de Souza;Jonathas José de Magalhães;Evandro Barros de Costa;Joseana Macêdo Fechine
Affiliations:
Department of Systems and Computing, Federal University of Campina Grande, Campina Grande, PB, Brazil;Department of Systems and Computing, Federal University of Campina Grande, Campina Grande, PB, Brazil;Computing Institute, Federal University of Alagoas, Maceió, AL, Brazil;Department of Systems and Computing, Federal University of Campina Grande, Campina Grande, PB, Brazil
Venue:
ICCSA'12 Proceedings of the 12th international conference on Computational Science and Its Applications - Volume Part III
Year:
2012

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Abstract

A phenomenon not so recent is the substantial increase in popularity and use of online social networks. With that has emerged a new way to find information online: the social query, which consists of posting a question in a social network and wait for responses from close friends. Usually, a question is posted to be visible to everyone, but we believe that this is not the best way: there will be the possibility of receiving several responses (including wrong), keep receiving answers where there is no need, do not receive answers, etc. The query router problem consists of finding the most able individual in the personal social network of the questioner. This work presents an algorithm to Routing Questions in Twitter. The model was validated through its predict capacity and the results shows that its recommendations match in half cases only when combined with a technique to enrich the information present in the question.