The influence maximization problem has gained increasing attention in recent years. Previous research focuses on the development of algorithms to analyze static social …
The growing popularity of social networks is providing a promising opportunity for different practical applications. The influence analysis is an essential technique supporting the …
M Jaouadi, LB Romdhane - 2019 IEEE/ACS 16th International …, 2019 - ieeexplore.ieee.org
Social networks have attracted a great deal of attention and have in fact important information vectors that have changed the way we produce, consume and diffuse …
N Sumith, B Annappa, S Bhattacharya - Future Generation Computer …, 2018 - Elsevier
Online social networks play a major role not only in socio psychological front, but also in the economic aspect. The way social network serves as a platform of information spread, has …
W Liu, Y Li, X Chen, J He - Applied Intelligence, 2020 - Springer
Influence Maximization (IM) is an important issue in network analyzing which widely occurs in social networks. The IM problem aims to detect the top-k influential seed nodes that can …
M Jaouadi, LB Romdhane - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Social networks have attracted a great deal of attention and have, in fact, changed the way we produce, consume, and diffuse information. This change gave rise to the notion of social …
Ever increasing popularity social networks has attracted many companies to use them for viral marketing. Identification of influential users for spreading news and marketing is a …
The influence maximization problem aims to identify influential nodes allowing to reach the viral marketing objectives on social networks. Previous researches are mainly concerned …
With the fast development of online social networks, a large number of their members are involved in more than one social network. Finding most influential users is one of the …