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Online social cohesion reflects real-world group action in Syria during the Arab Spring
- Source :
- PLoS ONE, PLoS ONE, Vol 16, Iss 7, p e0254087 (2021)
- Publication Year :
- 2020
-
Abstract
- In recent years, political activists have taken to social media platforms to rapidly reach broad audiences. Despite the prevalence of micro-blogging in these sociopolitical movements, the degree to which virtual mobilization reflects or drives real-world movements is unclear. Here, we explore the dynamics of real-world events and Twitter social cohesion in Syria during the Arab Spring. Using the nonlinear methods cross-recurrence quantification analysis and windowed cross-recurrence quantification analysis, we investigate if frequency of events of different intensities are coupled with social cohesion found in Syrian tweets. Results indicate that online social cohesion is coupled with the counts of all, positive, and negative events each day but shows a decreased connection to negative events when outwardly directed events (i.e., source events) were considered. We conclude with a discussion of implications and applications of nonlinear methods in political science research.
- Subjects :
- Computer and Information Sciences
Asia
Blogging
Permutation
Science
Twitter
0211 other engineering and technologies
Social Sciences
02 engineering and technology
Geographical Locations
Politics
Sociology
Political science
050602 political science & public administration
Psychology
Social media
Social Movements
Cooperative Behavior
Language
021110 strategic, defence & security studies
Multidisciplinary
Syria
Discrete Mathematics
Nonlinear methods
05 social sciences
Cognitive Psychology
Social Communication
Biology and Life Sciences
Linguistics
Communications
0506 political science
Semantics
Cohesion (linguistics)
Action (philosophy)
Social Networks
Sociolinguistics
Combinatorics
Political economy
Physical Sciences
People and Places
Medicine
Cognitive Science
Social Media
Network Analysis
Mathematics
Research Article
Neuroscience
Subjects
Details
- ISSN :
- 19326203
- Volume :
- 16
- Issue :
- 7
- Database :
- OpenAIRE
- Journal :
- PloS one
- Accession number :
- edsair.doi.dedup.....db5fa800894019ec93cc16183e53e2cc