We present a system for the acquisition, analysis and visualisation of Twitter data. Twitter messages are harvested and stored in a distributed cluster, and the data is processed using algorithms implemented in a MapReduce framework. We present a clustering algorithm capable of identifying the main topics of interest in a tweet data set. Also, we designed a visualization method which allows to follow the intensity of twitter activity at a given geographical location.
Sechelea, A, do huu, T, Zimos, E & Deligiannis, N 2016, Twitter Data Clustering and Visualization. in International Conference on Telecommunications (ICT) 2016 Proceedings. pp. 1-5, International Conference on Telecommunications '16, Thessaloniki, Greece, 16/05/16.
Sechelea, A., do huu, T., Zimos, E., & Deligiannis, N. (2016). Twitter Data Clustering and Visualization. In International Conference on Telecommunications (ICT) 2016 Proceedings (pp. 1-5)
@inproceedings{5ec561c2eb5049ba83e07a140c3ddefd,
title = "Twitter Data Clustering and Visualization",
abstract = "We present a system for the acquisition, analysis and visualisation of Twitter data. Twitter messages are harvested and stored in a distributed cluster, and the data is processed using algorithms implemented in a MapReduce framework. We present a clustering algorithm capable of identifying the main topics of interest in a tweet data set. Also, we designed a visualization method which allows to follow the intensity of twitter activity at a given geographical location.",
keywords = "Twitter, Social media, Big Data, Clustering, vizualization",
author = "Andrei Sechelea and {do huu}, tien and Evangelos Zimos and Nikolaos Deligiannis",
year = "2016",
month = may,
day = "16",
language = "English",
pages = "1--5",
booktitle = "International Conference on Telecommunications (ICT) 2016 Proceedings",
note = "International Conference on Telecommunications '16, ICT ; Conference date: 16-05-2016 Through 18-05-2016",
}