TwiCube: A real-time Twitter online community analysis tool

• Main Authors: DU, Juan, XIE, Wei, LI, Cheng, ZHU, Feida, LIM, Ee Peng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2013
• Subjects: Communication Technology and New Media; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/1732; https://ink.library.smu.edu.sg/context/sis_research/article/2731/viewcontent/C43___TwiCube_A_Real_time_Twitter_Offline_Community_Analysis_Tool__DASFAA2013_.pdf
• Institution: Singapore Management University

As a micro-blogging service, Twitter differs from other social network services in two ways: 1) the absence of mutual consent in establishing follow links and 2) being a mixture of news media and social network. A key question to ask in better understanding Twitter user behavior is which part of a user’s Twitter network reflects one’s real-life social network. TwiCube is an online tool that employs a novel algorithm capable of identifying a user’s real-life social community, which we call the user’s off-line community, purely from examining the link structure among the user’s followers and followees. Based on the identified off-line community, TwiCube provides a summary of the user’s interests, tweeting habits and neighborhood popularity analysis. Evaluations from real Twitter users demonstrate that our off-line community detection approach achieves high precision and recall in most cases.