New trends in influence maximization models
The growing popularity of social networks is providing a promising opportunity for different
practical applications. The influence analysis is an essential technique supporting the …
practical applications. The influence analysis is an essential technique supporting the …
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 …
researchers are concerned with detecting influential nodes. The detection of influential …
A survey on meta-heuristic algorithms for the influence maximization problem in the social networks
The different communications of users in social networks play a key role in effect to each
other. The effect is important when they can achieve their goals through different …
other. The effect is important when they can achieve their goals through different …
Influence maximization in social networks using effective community detection
Influence maximization problem aims to find a set of nodes with the highest diffusion in
social networks in order to maximize diffusion in the graph by this set. A set of these nodes …
social networks in order to maximize diffusion in the graph by this set. A set of these nodes …
Influence maximization problem by leveraging the local traveling and node labeling method for discovering most influential nodes in social networks
The influence maximization problem has gained particular importance in viral marketing for
large-scale spreading in social networks. Developing a fast and appropriate algorithm to …
large-scale spreading in social networks. Developing a fast and appropriate algorithm to …
Identifying influential nodes using a shell-based ranking and filtering method in social networks
H Ahmadi Beni, A Bouyer - Big Data, 2021 - liebertpub.com
The main goal in the influence maximization problem (IMP) is to find k minimum nodes with
the highest influence spread on the social networks. Since IMP is NP-hard and is not …
the highest influence spread on the social networks. Since IMP is NP-hard and is not …
Systematic literature review on identifying influencers in social networks
SF Seyfosadat, R Ravanmehr - Artificial Intelligence Review, 2023 - Springer
Considering the ever-increasing size and complexity of social networks, developing
methods to extract meaningful knowledge and information from users' vast amounts of data …
methods to extract meaningful knowledge and information from users' vast amounts of data …
A variable neighborhood search approach for the adaptive multi round influence maximization problem
Social Networks have been in continuous growing during the last decades. The huge
amount of information and applications has led to an increase in the interest of scientists and …
amount of information and applications has led to an increase in the interest of scientists and …
Intelligent Filtering of Graph Shells in the Problem of Influence Maximization Based on the Independent Cascade Model
F Kazemzadeh, A Karian, AA Safaei… - 2021 7th International …, 2021 - ieeexplore.ieee.org
In social networks, the problem of influence maximization seeks for a solution to find
individuals or nodes in different communities so that they can diffuse information influence …
individuals or nodes in different communities so that they can diffuse information influence …
Multi-hop analysis method for rich-club phenomenon of influence maximization in social networks
X Duan, L Qiu, C Sun, Q Shi - Applied Intelligence, 2022 - Springer
Abstract When studying the Influence Maximization (IM) problem in social networks, it is
found that the initial seed nodes selected by some heuristic algorithms have the …
found that the initial seed nodes selected by some heuristic algorithms have the …