Using principal eigenvectors of Laplacian-Plus matrix to identify spreaders of social networks under linear threshold diffusion model

Influence maximization (IM) is a challenging problem in social networks to identify initial spreaders with the best influence on other nodes. It is a need to solve this problem with the minimum diffusion time and the most coverage on the communities. However, the spreaders are rarely dependent on di...

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Autors principals:	Neda Binesh, Mehdi Ghatee
Format:	Artigo
Idioma:	Inglês
Publicat:	Amirkabir University of Technology 2022-09-01
Col·lecció:	AUT Journal of Mathematics and Computing
Matèries:	social networks influence maximization linear threshold model laplacian-plus matrix eigenvectors
Accés en línia:	https://ajmc.aut.ac.ir/article_4715_f53667fe43b3a435c0a03b7669641bce.pdf
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