Predicting lifespans of popular tweets in microblog

SIGIR'12 - Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval

Volumn , Issue , 2012, Pages 1129-1130

  Kong, Shoubin ^a   Feng, Ling ^a   Sun, Guozheng ^b   Luo, Kan ^b  

^a TSINGHUA UNIVERSITY   (China)

^b TENCENT AI LAB   (China)

Author keywords

lifespan; popularity; prediction; time series; tweet

Indexed keywords

DATA SETS; LIFE SPAN; LIFESPANS; MICRO-BLOG; POPULARITY; STATIC CHARACTERISTIC; TWEET;

INFORMATION RETRIEVAL; TIME SERIES;

FORECASTING;

EID: 84866594848     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2348283.2348503     Document Type: Conference Paper

References (3)

1. P. Cui, F. Wang, S. Liu, M. Ou, S. Yang, and L. Sun. Who should share what? item-level social influence prediction for users and posts ranking. In SIGIR, pages 185-194, 2011.
2. L. Hong, O. Dan, and B. Davison. Predicting popular messages in twitter. In WWW, pages 57-58, 2011.
3. M. Wilk and R. Gnanadesikan. Probability plotting methods for the analysis for the analysis of data. Biometrika, 55(1):1-17, 1968.