Análise da fidelidade pelo comportamento dos usuários do twitter
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2017-09-15
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Universidade Federal de Goiás
Resumo
Users influence analysis over other users has been highlighted in studies involving online
social networks, especially for the social network known as Twitter. However, there is still
room for studies which analyze the influence that a user a exerts on another user e, based
on the frequency of interactions from e dedicated to a in the social network. In the case
of Twitter, three interactions are commonly used by users: the like, the mention and the
retweet. This work assumes that a direct way of measuring the influence of a user a over
another user e on Twitter is to observe the number of interactions of e with a over time. In
this sense, a new concept called loyalty is proposed to define a specific and personalized
type of influence, in which users, through their interactions, demonstrate preference by
some peers in the social network (i.e., through the frequency of the interactions). Three
aspects of loyalty were analyzed: i) intensity of interaction with the preferred user; ii)
probability of interaction with users with whom there is loyalty, and iii) predictability of
user interactions with their peers. Experiments done on a large sample of Twitter users
reveal that the vast majority of users have loyalty to some user. In addition, the type of
interaction and cultural aspects such as the written language used in the tweets differently
affect the three aspects of fidelity considered. The paper also offers suggestions on how
information derived from loyalty may be useful for future work related to influence on
Twitter.
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MATOS JÚNIOR, J. B. P. Análise da fidelidade pelo comportamento dos usuários do twitter. 2017. 102 f. Dissertação (Mestrado em Ciência da Computação) - Universidade Federal de Goiás, Goiânia, 2017.