Deep learning approach on information diffusion in heterogeneous networks

There are many real-world complex systems with multi-type interacting entities that can be regarded as heterogeneous networks including human connections and biological evolutions. One of the main issues in such networks is to predict information diffusion such as shape, growth and size of social ev...

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Veröffentlicht in:	Knowledge-based systems 2020-02, Vol.189, p.105153, Article 105153
Hauptverfasser:	Molaei, Soheila, Zare, Hadi, Veisi, Hadi
Format:	Artikel
Sprache:	eng
Schlagworte:	Cascade prediction Complex systems Deep learning Heterogeneous networks Information diffusion Information dissemination Machine learning Network representation learning Networks Parameter sensitivity Representations Topic diffusion
Online-Zugang:	Volltext
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