Publication Type

Conference Proceeding Article

Publication Date

7-2012

Abstract

Twitter is a popular online social information network service which allows people to read and post messages up to 140 characters, known as “tweets”. In this paper, we focus on the tweets between pairs of individuals, i.e., the tweet replies, and propose a generative model to discover topics among groups of twitter users. Our model has then been evaluated with a tweet dataset to show its effectiveness.

Discipline

Databases and Information Systems | Numerical Analysis and Scientific Computing | Social Media

Research Areas

Data Management and Analytics

Publication

Proceedings of the 10th Workshop on Mining and Learning with Graphs (MLG-2012), Edinburgh

Publisher

Katholieke Universiteit Leuven

City or Country

Leuven

Embargo Period

4-16-2016

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Additional URL

https://dtai.cs.kuleuven.be/events/mlg2012/papers/6_Topic_Dai.pdf

Share

COinS