Topological Influence-Aware Recommendation on Social Networks
Users in online networks exert different influence during the process of information propagation, and the heterogeneous influence may contribute to personalized recommendations. In this paper, we analyse the topology of social networks to investigate users’ influence strength on their neighbours. We...
Saved in:
| Main Authors: | Zhaoyi Li, Fei Xiong, Ximeng Wang, Hongshu Chen, Xi Xiong |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2019-01-01
|
| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2019/6325654 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Exploring network dynamics in scientific innovation: collaboration, knowledge combination, and innovative performance
by: Yangyang Jia, et al.
Published: (2025-01-01) -
Multitask Features Mapping Network Model for Cross-domain Recommendation
by: AN Qiuyu, et al.
Published: (2024-08-01) -
The Influence of Social Networks on Environmental Awareness and the Social Responsibility of Generations
by: Eliana Andréa Severo, et al.
Published: (2019-01-01) -
Distribution Network Security Situation Awareness Method Based on the Distribution Network Topology Layered Model
by: Yuhong Ouyang, et al.
Published: (2023-01-01) -
A dual-stream ordered topology-aware network for accurate fish counting in aquaculture environments
by: Jiaming Xin, et al.
Published: (2025-08-01)