Link prediction for ex ante influence maximization on temporal networks

Abstract Influence maximization (IM) is the task of finding the most important nodes in order to maximize the spread of influence or information on a network. This task is typically studied on static or temporal networks where the complete topology of the graph is known. In practice, however, the se...

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Autors principals:	Eric Yanchenko, Tsuyoshi Murata, Petter Holme
Format:	Artigo
Idioma:	Inglês
Publicat:	SpringerOpen 2023-09-01
Col·lecció:	Applied Network Science
Matèries:	Diffusion Dynamic networks Graph neural networks Influence maximization Link prediction
Accés en línia:	https://doi.org/10.1007/s41109-023-00594-z
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