Identification of Self-Organized Critical State on Twitter Based on the Retweets’ Time Series Analysis
There is a number of studies, in which it is established that the observed flows of microposts generated by microblogging social networks (e.g., Twitter) are characterized by avalanche-like behavior. Time series of microposts depicting such streams are the time series with a power-law distribution,...
Saved in:
| Main Authors: | Andrey Dmitriev, Victor Dmitriev |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
|
| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2021/6612785 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
“Retweet for More”: The Serialization of Porn on the Twitter Alter Community
by: Ruepert Jiel Dionisio Cao
Published: (2022-01-01) -
Twitter Self-Organization to the Edge of a Phase Transition: Discrete-Time Model and Effective Early Warning Signals in Phase Space
by: Andrey Dmitriev, et al.
Published: (2023-01-01) -
Self-organization of the stock exchange to the edge of a phase transition: empirical and theoretical studies
by: Andrey Dmitriev, et al.
Published: (2025-01-01) -
Strategies for Growing User Popularity through Retweet: An Empirical Study
by: Yecely Aridaí Díaz-Beristain, et al.
Published: (2017-01-01) -
Politicized celebrities against far-right on Twitter. Political preferences and activity of users retweeting Rosalia’s anti Vox tweet after the 2019 general elections in Spain
by: Frederic Guerrero-Solé, et al.
Published: (2022-07-01)