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 …

Structural hole theory in social network analysis: A review

Z Lin, Y Zhang, Q Gong, Y Chen… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Social networks now connect billions of people around the world, where individuals
occupying different positions often represent different social roles and show different …

HCoF: Hybrid Collaborative Filtering Using Social and Semantic Suggestions for Friend Recommendation

MT Ramakrishna, VK Venkatesan, R Bhardwaj… - Electronics, 2023 - mdpi.com
Today, people frequently communicate through interactions and exchange knowledge over
the social web in various formats. Social connections have been substantially improved by …

Finding influential nodes in multiplex networks using a memetic algorithm

S Wang, J Liu, Y Jin - IEEE transactions on cybernetics, 2019 - ieeexplore.ieee.org
In order to find the nodes with better propagation ability, a large body of studies on the
influence maximization problem has been conducted. Several influence spreading models …

IMPC: Influence maximization based on multi-neighbor potential in community networks

J Shang, H Wu, S Zhou, J Zhong, Y Feng… - Physica A: Statistical …, 2018 - Elsevier
The study of influence maximization (IM) has attracted many scholars in recent years due to
its import practical values. Given a social network, it aims at finding a subset of k individuals …

Capability oriented equipment contribution analysis in temporal combat networks

J Li, D Zhao, J Jiang, K Yang… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Modern military operations in high-tech information warfare settings are dynamic processes
involving various types of combat systems connected via multiple channels, which can be …

Friend and POI recommendation based on social trust cluster in location-based social networks

J Zhu, C Wang, X Guo, Q Ming, J Li, Y Liu - EURASIP Journal on Wireless …, 2019 - Springer
Friend and point-of-interest (POI) recommendation are two primary individual services in
location-based social networks (LBSNs). Major social platforms such as Foursquare and …

A node activity and connectivity-based model for influence maximization in social networks

B Saxena, P Kumar - Social Network Analysis and Mining, 2019 - Springer
Influence maximization deals with the problem of identifying k-size subset of nodes in a
social network that can maximize the influence spread in the network. In this paper, the …

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 …

LAIM: A linear time iterative approach for efficient influence maximization in large-scale networks

H Wu, J Shang, S Zhou, Y Feng, B Qiang, W Xie - IEEE Access, 2018 - ieeexplore.ieee.org
The problem of influence maximization (IM) has been extensively studied in recent years
and has many practical applications such as social advertising and viral marketing. Given …