Knapsack-Based Reverse Influence Maximization for Target Marketing in Social Networks
With the dramatic proliferation in recent years, the social networks have become a ubiquitous medium of marketing and the influence maximization (IM) technique, being such a viral marketing tool, has gained significant research interest in recent years. The IM determines the influential users who ma...
Main Authors: | Ashis Talukder, Md. Golam Rabiul Alam, Nguyen H. Tran, Dusit Niyato, Choong Seon Hong |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8681423/ |
Similar Items
-
CM2D: Cost Minimization Under the Competitive Market in Dynamic Social Networks
by: Ashis Talukder, et al.
Published: (2020-01-01) -
Efficient Targeted Influence Maximization Based on Multidimensional Selection in Social Networks
by: Jing, D., et al.
Published: (2021) -
Modeling and maximizing influence diffusion in social networks for viral marketing
by: Wenjun Wang, et al.
Published: (2018-04-01) -
Threshold Estimation Models for Linear Threshold-Based Influential User Mining in Social Networks
by: Ashis Talukder, et al.
Published: (2019-01-01) -
MBIC: A Novel Influence Propagation Model for Membership-Based Influence Maximization in Social Networks
by: Gang Xie, et al.
Published: (2019-01-01)