ArticleScientific reports2022
Identifying vital nodes for influence maximization in attributed networks.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed.
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- Transformer-based robotic ultrasound 3D tracking for capsule robot in GI tract.International journal of computer assisted radiology and surgery · 2025Article
- Hearing impairment and dementia: cause, catalyst or consequence?Journal of neurology · 2025Review
- Evaluating the impact of a navigation system on the initial cases of robotic gastrectomy for gastric cancer.Journal of robotic surgery · 2025Article
- The Role of Rab GTPases in the development of genetic and malignant diseases.Molecular and cellular biochemistry · 2024Review
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Authors and funding
3 authors.
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Abstract
Identifying a set of vital nodes to achieve influence maximization is a topic of general interest in network science. Many algorithms have been proposed to solve the influence maximization problem in complex networks. Most of them just use topology information of networks to measure the node influence. However, the node attribute is also an important factor for measuring node influence in attributed networks. To tackle this problem, we first propose an extension model of linear threshold (LT) propagation model to simulate the information propagation in attributed networks. Then, we propose a novel community-based method to identify a set of vital nodes for influence maximization in attributed networks. The proposed method considers both topology influence and attribute influence of nodes, which is more suitable for identifying vital nodes in attributed networks. A series of experiments are carried out on five real world networks and a large scale synthetic network. Compared with CELF, IMM, CoFIM, HGD, NCVoteRank and K-Shell methods, experimental results based on different propagation models show that the proposed method improves the influence spread by [Formula: see text], [Formula: see text], [Formula: see text], [Formula: see text], [Formula: see text] and [Formula: see text].
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