Risk-Averse Influence Maximization A computational investigation by genetic algorithm framework

The top k-influencers problem, as a social influence maximization (SIM) problem, seeks out the best k actors, called the seed set, in a network with the greatest expected Influence Spread (IS). This problem is formulated as a mean-maximization of the IS with no consideration for the variance of the...

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Vydané v:	The Journal of supercomputing Ročník 79; číslo 3; s. 2519 - 2569
Hlavní autori:	NasehiMoghaddam, Saeed, Fathian, Mohammad, Amiri, Babak
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.02.2023
Predmet:	Compilers Computer Science Interpreters Processor Architectures Programming Languages Conditional Value at Risk (CVaR) Genetic Algorithm Framework for Influence Maximization (GAFIM) Risk-Blind Influence Maximization (RBIM) Risk-Averse Influence Maximization (RAIM) Influence spread (IS) values variation Tuning by community detection
ISSN:	0920-8542, 1573-0484
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