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2019 | OriginalPaper | Buchkapitel

Temporal Analysis of Twitter Response and Performance Evaluation of Twitter Channels Using Capacitor Charging Model

verfasst von : Sirisup Laohakiat, Photchanan Ratanajaipan, Krissada Chalermsook, Leenhapat Navaravong, Rachanee Ungrangsi, Aekavute Sujarae, Krissada Maleewong

Erschienen in: Recent Advances in Information and Communication Technology 2018

Verlag: Springer International Publishing

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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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Metadaten
Titel
Temporal Analysis of Twitter Response and Performance Evaluation of Twitter Channels Using Capacitor Charging Model
verfasst von
Sirisup Laohakiat
Photchanan Ratanajaipan
Krissada Chalermsook
Leenhapat Navaravong
Rachanee Ungrangsi
Aekavute Sujarae
Krissada Maleewong
Copyright-Jahr
2019
DOI
https://doi.org/10.1007/978-3-319-93692-5_7