Abstract
When some hot social issue or event occurs, it will significantly increase the number of comments and retweet on that day on Twitter. However, as the amount of SNS data increases, the noise also increases synchronously, thus a reliable user classification method is being required. In this paper, we classify the users who are interested in the issue as “socially well-known user” and “reliable and highly active user”. “A graph-based user reliability measurement” and “Weekly user activity measurement” are introduced to classify users who are interested in the issue. Eight of social issues were experimented in Twitter data to verify validity of the proposed method. The top 10 results of the experiment showed 76.8 % of performance in average precision (P@10). The experimental results show that the proposed method is effective for classifying users in Twitter corpus.
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Acknowledgments
This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (2012R1A1A2044811).
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Tsolmon, B., Lee, KS. (2014). A Graph-Based Reliable User Classification. In: Herawan, T., Deris, M., Abawajy, J. (eds) Proceedings of the First International Conference on Advanced Data and Information Engineering (DaEng-2013). Lecture Notes in Electrical Engineering, vol 285. Springer, Singapore. https://doi.org/10.1007/978-981-4585-18-7_7
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DOI: https://doi.org/10.1007/978-981-4585-18-7_7
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