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[HTML][HTML] Influence maximization frameworks, performance, challenges and directions on social network: A theoretical study
The influence maximization (IM) problem identifies the subset of influential users in the
network to provide solutions for real-world problems like outbreak detection, viral marketing …
network to provide solutions for real-world problems like outbreak detection, viral marketing …
An improved influence maximization method for social networks based on genetic algorithm
Over the recent decade, much research has been conducted in the field of social networks.
The structure of these networks has been irregular, complex, and dynamic, and certain …
The structure of these networks has been irregular, complex, and dynamic, and certain …
LAPSO-IM: A learning-based influence maximization approach for social networks
Online social networks play a pivotal role in the propagation of information and influence as
in the form of word-of-mouth spreading. Influence maximization (IM) is a fundamental …
in the form of word-of-mouth spreading. Influence maximization (IM) is a fundamental …
Social network analysis: A survey on measure, structure, language information analysis, privacy, and applications
The rapid growth in popularity of online social networks provides new opportunities in
computer science, sociology, math, information studies, biology, business, and more. Social …
computer science, sociology, math, information studies, biology, business, and more. Social …
IM‐SSO: Maximizing influence in social networks using social spider optimization
Online social networks play a pivotal role in the propagation of information and influence as
in the form of word‐of‐mouth spreading. The influence maximization (IM) problem is a …
in the form of word‐of‐mouth spreading. The influence maximization (IM) problem is a …
A centrality measure for influence maximization across multiple social networks
Influence maximization (IM) is the problem of sub set selection which selects a subset of k
users from the network to maximize the aggregate influence spread in the network. The …
users from the network to maximize the aggregate influence spread in the network. The …
A novel neighborhood-based importance measure for social network influence maximization using NSGA-III
Information spreading on social networks is a chain process that depends on various factors
for its speed of spread. Influential users with an impact on many users play a significant role …
for its speed of spread. Influential users with an impact on many users play a significant role …
[PDF][PDF] Computer and Information Sciences
abstract ''Digitalization of forest”, as this phrase itself suggests the sustainable
implementation of cutting-edge technologies into forests for improving the current trends that …
implementation of cutting-edge technologies into forests for improving the current trends that …
[معلومات الإصدار][C] Recent Advancements in Information Technology for Sustainable Development
Over the past three decades, the Information Technology has been one of the most
interesting fields for research and development. From commerce, healthcare, education …
interesting fields for research and development. From commerce, healthcare, education …
[معلومات الإصدار][C] Multifeature Analysis based Link Prediction and Influence Maximization in Dynamic Social Networks
AK Singh - 2021 - IIT BHU VARANASI