Efficient algorithms based on centrality measures for identification of top-k influential users in social networks

M Alshahrani, Z Fuxi, A Sameh, S Mekouar… - Information Sciences, 2020 - Elsevier
The problem of influence maximization has grown in popularity and interest in recent
decades due to its valuable application in various fields. This problem mainly focuses on …

OlapGN: a multi-layered graph convolution network-based model for locating influential nodes in graph networks

Y Rashid, JI Bhat - Knowledge-Based Systems, 2024 - Elsevier
Complex networks necessitate the identification of key nodes owing to their ubiquity across
the network. Traditional methodologies, such as machine learning-based and centrality …

Socio-spatial influence maximization in location-based social networks

M Hosseinpour, MR Malek, C Claramunt - Future Generation Computer …, 2019 - Elsevier
Identifying influential nodes in social networks is a key issue in many domains such as
sociology, economy, biology, and marketing. A common objective when studying such …

An algorithm for weighted positive influence dominating set based on learning automata

MMD Khomami, MA Haeri, MR Meybodi… - 2017 IEEE 4th …, 2017 - ieeexplore.ieee.org
The problem of Influence Maximization (IM) in social network refers to determining a set of
nodes that can maximize the spread of influence. IM problem has been applied in many …

[PDF][PDF] Influence Maximization with Consideration of PageRank Centrality and Propagation Probability.

Q Chen, R Yan - SEKE, 2021 - ksiresearch.org
Influence Maximization (IM) problem has been attracted considerable interest and attention
in last decades. However, the centrality algorithm-based methods were with low time …

[引用][C] تأثیر پارامتر مکان بر مرکزیت گره‌ها در شبکه‌های اجتماعی مکان مبنا

حسین‌پور, محمد, ملک - نشریه علمی علوم و فنون …, 2020‎ - نشریه علمی علوم و فنون نقشه برداری