Earticle

초록

영어

Microblogs have rapidly become the most popular means by which people communicate with friends, pay close attention to celebrity at any time. Hence many studies on microblogging networks have been done recently, focusing on information diffusion, popularity prediction, topic detection and more. In this paper, we study the popularity of tweets in microblogging networks and introduce a novel concept “popularity degree” that help divide microblogging into four levels. Through the empirical analysis of different popularity degree, we find the retweeting information of a tweet at an earlier time can help predict its final popularity. Hence we propose a prediction model based on SVM with the retweeting information within one hour. Experimental results show our model has better ability of prediction.

목차

Abstract
 1. Introduction
 2. Related work
 3. Empirical Analysis
  3.1. Dataset Description
  3.2. Observation and Findings
 4. Modeling Popularity Degree
  4.1. Model
  4.2. Feature Description and Scoring
 5. Experiment
  5.1. Scale
  5.2. Result
 6. Conclusion
 Acknowledgements
 References

키워드

저자

• Wang Jiang [ College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan 030024, China ]
• Wang Li [ College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan 030024, China ] Corresponding Author
• Wu Weili [ College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan 030024, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605