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Wilrijk, Antwerpen, Belgium
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About
Ceyda Sanli is a research scientist on artificial intelligence, cognition, natural laws of language including socio- and psycho-linguistic. She constructs and investigates both digital and non-digital (laboratory, hand-made/written, domain dependent library collection) data such as EEG, coherent conversation speech, incoherent technical reports, and online social media, e.g. Twitter. She is currently working in NTU, Singapore. She has completed her first post-doc in Complexity Networks, University of Namur. There, she focused on temporal patterns influencing the heterogeneity in the popularity of online contents and users. She holds a PhD degree in Experimental Physics, University of Twente.
Tags
online behavior
ranking popularity
communication
time-series
social dynamic behavior
twitter
time series
elections
data
local variation
spike trains
pattern formation
complex systems
granular physics
group motion
self-organization
dynamic heterogeneity
fluid dynamics
minkowski functionals
dynamic morphological tool
collective motion
hashtag time series
natural language processing
social groups
computational linguistics
social exchange theory
#rankingpopularity
#hashtag
#communication
#socialdynamicbehavior
#time-series
#twitter
#onlinebehavior
#data
hashtags
networking
communication habits
benet
social media
poster
online collective behavior
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