RetweetPatterns: detection of spatio-temporal patterns of retweets

• Type: Article in International Conference Proceedings Book
• Date: 2016

Authors

Rodrigues, T (Author) Other; Cunha, T (Author) Other; Ienco, D (Author) Other; Poncelet, P (Author) Other; Carlos Soares (Author) FEUP

Conference proceedings International

Title: NEW ADVANCES IN INFORMATION SYSTEMS AND TECHNOLOGIES, VOL 1

Pages: 879-888

World Conference on Information Systems and Technologies (WorldCIST)

Recife, BRAZIL, MAR 22-24, 2016

Indexing

ISI Web of Knowledge - 3 Citations

Scopus - 3 Citations

Other information

Authenticus ID: P-00K-AK5

DOI: 10.1007/978-3-319-31232-3_83

Abstract (EN): Social media is strongly present in people's everyday life and Twitter is one example that stands out. The data within these types of services can be analyzed in order to discover useful knowledge. One interesting approach is to use data mining techniques to perceive hidden behaviours and patterns. The primary focus of this paper is the identification of patterns of retweets and to understand how information spreads over time in Twitter. The aim of this work lies in the adaptation of the GetMove tool, that is capable of extracting spatio-temporal pattern trajectories, and TweeProfiles, that identifies tweet profiles regarding several dimensions: spatial, temporal, social and content. We hope that the more flexible clustering strategy from TweeProfiles will enhance the results extracted by GetMove. We study the application of said mechanism to one case study and developed a visualization tool to interpret the results.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 10