Skip to main navigation
Skip to search
Skip to main content
University of Copenhagen Research Portal Home
Help & FAQ
Dansk
English
Home
Profiles
Research output
Research units
Press/Media
Activities
Prizes
???studenttheses???
Datasets
Search by expertise, name or affiliation
Emergent user behavior on Twitter modelled by a stochastic differential equation
Anders Edsberg Møllgaard,
Joachim Mathiesen
Biocomplexity
10
Citations (Scopus)
159
Downloads (Pure)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Emergent user behavior on Twitter modelled by a stochastic differential equation'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Mathematics
1/f Noise
57%
Emergent Behavior
84%
Fluctuations
33%
Human
15%
Model
11%
Multiplicative Noise
21%
Social Media
31%
Stochastic Differential Equations
46%
User Behavior
100%
Medicine & Life Sciences
Names
33%
Noise
49%
Social Media
22%
Agriculture & Biology
differential equation
68%
social networks
23%
Engineering & Materials Science
Differential equations
47%
Earth & Environmental Sciences
analysis
4%
rate
17%
social media
22%