Quantifying Regional Differences in the Length of Twitter Messages-Reference-Cited by-同舟云学术

Quantifying Regional Differences in the Length of Twitter Messages

Published:2015-04-08 Issue:4 Volume:10 Page:e0122278
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Alis Christian M.,Lim May T.,Moat Helen Susannah,Barchiesi Daniele,Preis Tobias,Bishop Steven R.

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference44 articles.

1. Diurnal and Seasonal Mood Vary with Work, Sleep, and Daylength Across Diverse Cultures;SA Golder;Science,2011

2. A 61-million-person experiment in social influence and political mobilization;RM Bond;Nature,2012

3. Experimental evidence of massive-scale emotional contagion through social networks;ADI Kramer;Proceedings of the National Academy of Sciences,2014

4. Modeling Users’ Activity on Twitter Networks: Validation of Dunbar’s Number;B Gonçalves;PLoS ONE,2011

5. Web Search Queries Can Predict Stock Market Volumes;I Bordino;PLoS ONE,2012

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Structure and dynamics of growing networks of Reddit threads;Applied Network Science;2024-08-27

2. The PredNews forecasting model;Proceedings of the 19th Annual International Conference on Digital Government Research: Governance in the Data Age;2018-05-30

3. Does solar activity affect human happiness?;Physica A: Statistical Mechanics and its Applications;2018-03

4. Dynamics of information diffusion and its applications on complex networks;Physics Reports;2016-09

5. A polarity analysis framework for Twitter messages;Applied Mathematics and Computation;2015-11