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Wilrijk, Antwerpen, Belgium
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unaffiliated
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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.

Presentations(7)Ìý

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Social Behavior Patterns_Short
Social Behavior Patterns_ShortSocial Behavior Patterns_Short
Social Behavior Patterns_Short
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Social dynamic behaviour patterns_long
Social dynamic behaviour patterns_longSocial dynamic behaviour patterns_long
Social dynamic behaviour patterns_long
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Local Variation of Collective Attention in Hashtag Spike Trains
Local Variation of Collective Attention in Hashtag Spike TrainsLocal Variation of Collective Attention in Hashtag Spike Trains
Local Variation of Collective Attention in Hashtag Spike Trains
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Documents(1)Ìý

Poster presentation 5th BENet (Belgium Network Research Meting), Namur
Poster presentation 5th BENet (Belgium Network Research Meting), Namur Poster presentation 5th BENet (Belgium Network Research Meting), Namur
Poster presentation 5th BENet (Belgium Network Research Meting), Namur
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