Influence maximization in social networks using graph embedding and graph neural network

S Kumar, A Mallik, A Khetarpal, BS Panda - Information Sciences, 2022 - Elsevier
With the boom in technologies and mobile networks in recent years, online social networks
have become an integral part of our daily lives. These virtual networks connect people …

Identifying spreading influence nodes for social networks

Y Ou, Q Guo, J Liu - Frontiers of Engineering Management, 2022 - Springer
The identification of spreading influence nodes in social networks, which studies how to
detect important individuals in human society, has attracted increasing attention from …

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 …

Influence maximization in social networks using transfer learning via graph-based LSTM

S Kumar, A Mallik, BS Panda - Expert Systems with Applications, 2023 - Elsevier
Social networks have emerged as efficient platforms to connect people worldwide and
facilitate the rapid spread of information. Identifying influential nodes in social networks to …

Identifying influential nodes in social networks: A voting approach

P Liu, L Li, S Fang, Y Yao - Chaos, Solitons & Fractals, 2021 - Elsevier
With the prosperity of social networks, the research of influence maximization has become
growing importance and captured increasing attention from various disciplines. The key …

Finding critical nodes in a complex network from information diffusion and Matthew effect aggregation

Z Sun, Y Sun, X Chang, F Wang, Q Wang… - Expert Systems with …, 2023 - Elsevier
The identification of critical nodes is a crucial aspect in studying the spread of diseases,
vaccination strategies, power grid robustness, advertisement placement, and rumor control …

Identifying influential nodes in Social Networks: Neighborhood Coreness based voting approach

S Kumar, BS Panda - Physica A: Statistical Mechanics and its Applications, 2020 - Elsevier
Efficient modeling of information diffusion in an online social network, like viral distribution of
a market product or rumor control, can be achieved through the most influential nodes in the …

Identifying influential nodes in weighted complex networks using an improved WVoteRank approach

S Kumar, A Panda - Applied intelligence, 2022 - Springer
Influence maximization is an important research problem in the field of network science
because of its business value. It requires the strategic selection of seed nodes called …

Identifying influential ships in multi-ship encounter situation complex network based on improved WVoteRank approach

Y Tong, R Zhen, H Dong, J Liu - Ocean Engineering, 2023 - Elsevier
The ship encounter situation perception is of great significance to improving the safety and
efficiency of the Vessel Traffic Service (VTS). The traffic complexity and complex network …

An adaptive heuristic clustering algorithm for influence maximization in complex networks

PL Yang, GQ Xu, Q Yu, JW Guo - Chaos: An Interdisciplinary Journal of …, 2020 - pubs.aip.org
Influence maximization research in the real world allows us to better understand, accelerate
spreading processes for innovations and products, and effectively analyze, predict, and …