Abstract
As twitter is one of the highly popular social networks, analyzing the responses from users can allow us to study the behavior of users as well as evaluate the popularity of the twitter channels. In this study, we present a novel framework for analyzing twitter temporal responses using capacitor charging model. The proposed model, inspired from electrical circuit analysis, can reveal the temporal characteristic of the responses of each twitter post which can be a better option for measuring the channel popularity than the number of followers. Representing each post as a data point in the feature space, data clustering is used to determine the modal performance of each twitter channel that can reflect the channel’s popularity. The study illustrates the use of the proposed framework in comparison five news twitter channels.
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Laohakiat, S. et al. (2019). Temporal Analysis of Twitter Response and Performance Evaluation of Twitter Channels Using Capacitor Charging Model. In: Unger, H., Sodsee, S., Meesad, P. (eds) Recent Advances in Information and Communication Technology 2018. IC2IT 2018. Advances in Intelligent Systems and Computing, vol 769. Springer, Cham. https://doi.org/10.1007/978-3-319-93692-5_7
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DOI: https://doi.org/10.1007/978-3-319-93692-5_7
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