Dynamical Modeling, Analysis, and Control of Information Diffusion over Social Networks: A Deep Learning-Based Recommendation Algorithm in Social Network
The recommendation algorithm can break the restriction of the topological structure of social networks, enhance the communication power of information (positive or negative) on social networks, and guide the information transmission way of the news in social networks to a certain extent. In order to...
Saved in:
| Main Authors: | Kefei Cheng, Xiaoyong Guo, Xiaotong Cui, Fengchi Shan |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-01-01
|
| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2020/3273451 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Modeling for Information Diffusion in Online Social Networks via Hydrodynamics
by: Ying Hu, et al.
Published: (2017-01-01) -
Exploiting Social Capital for Recommendation in Social Networks
by: Paulo Roberto de Souza, et al.
Published: (2022-09-01) -
Diffusing information for mobile social networks under consideration of dynamic influence
by: Dong Jing, et al.
Published: (2017-04-01) -
Linguistic features influencing information diffusion in social networks: A systematic review
by: Lejla Džanko, et al.
Published: (2025-05-01) -
The Dynamical Model of Information Diffusion in Social Networks Considering the Effects of User Behavior
by: Morteza Jouyban, et al.
Published: (2025-01-01)