A survey on influence maximization models

M Jaouadi, LB Romdhane - Expert Systems with Applications, 2024 - Elsevier
Influence maximization is an important research area in social network analysis where
researchers are concerned with detecting influential nodes. The detection of influential …

Influential nodes detection in dynamic social networks: A survey

N Hafiene, W Karoui, LB Romdhane - Expert Systems with Applications, 2020 - Elsevier
The influence maximization problem has gained increasing attention in recent years.
Previous research focuses on the development of algorithms to analyze static social …

New trends in influence maximization models

M Azaouzi, W Mnasri, LB Romdhane - Computer Science Review, 2021 - Elsevier
The growing popularity of social networks is providing a promising opportunity for different
practical applications. The influence analysis is an essential technique supporting the …

Influence maximization problem in social networks: An overview

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 …

Influence maximization in large social networks: Heuristics, models and parameters

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 …

Maximum likelihood-based influence maximization in social networks

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 …

A graph sampling-based model for influence maximization in large-scale social networks

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 …

Identification of influential users in social networks based on users' interest

A Zareie, A Sheikhahmadi, M Jalili - Information Sciences, 2019 - Elsevier
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 …

Influential nodes detection in dynamic social networks

N Hafiene, W Karoui, L Ben Romdhane - … 2019, Seville, Spain, June 26–28 …, 2019 - Springer
The influence maximization problem aims to identify influential nodes allowing to reach the
viral marketing objectives on social networks. Previous researches are mainly concerned …

Influence maximization across heterogeneous interconnected networks based on deep learning

MM Keikha, M Rahgozar, M Asadpour… - Expert Systems with …, 2020 - Elsevier
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 …