| Issue |
MATEC Web Conf.
Volume 154, 2018
The 2nd International Conference on Engineering and Technology for Sustainable Development (ICET4SD 2017)
|
|
|---|---|---|
| Article Number | 03010 | |
| Number of page(s) | 4 | |
| Section | Computer Sciences | |
| DOI | https://doi.org/10.1051/matecconf/201815403010 | |
| Published online | 28 February 2018 | |
Clustering on Twitter: case study Twitter account of higher education institution in Indonesia
Department of Informatics, Universitas Islam Indonesia, Jalan Kaliurang KM 14,5 Yogyakarta, Indonesia
* Corresponding author: almed.hamzah@uii.ac.id
Recently, higher education institutions have been using Twitter as one of tools to enhance their communication network. This paper aims to cluster Twitter data retrieved from the official Twitter account of higher education institutions in Indonesia. We expect to obtain a valuable information from the tweet posted. Furthermore, we use Twitter’s hashtag as a basis of clustering. We collect data from n=10 institutions that have an official account on Twitter. The Affinity Propagation algorithm was employed to perform the clustering task. According to the clustering results, we conclude that higher education in Indonesia mostly utilize Twitter to post general information, news, agenda, announcement, information to the new students, and achievement.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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