An L p Norm Relaxation Approach to Positive Influence Maximization in Social Network under the Deterministic Linear Threshold Model
From MaRDI portal
Publication:2938023
DOI10.1007/978-3-319-03536-9_12zbMath1343.91042OpenAlexW94177853MaRDI QIDQ2938023
Publication date: 13 January 2015
Published in: Lecture Notes in Computer Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/978-3-319-03536-9_12
interior point methodsocial networkinfluence maximization\(L _{p }\) relaxationdeterministic linear threshold
Social networks; opinion dynamics (91D30) Linear programming (90C05) Deterministic network models in operations research (90B10)
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- A note on the complexity of \(L _{p }\) minimization
- On the complexity of approximating a KKT point of quadratic programming
- Decoding by Linear Programming
- FAST INFORMATION PROPAGATION IN SOCIAL NETWORKS
- From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images
- Sparse Approximate Solutions to Linear Systems
- Collective dynamics of ‘small-world’ networks
- Automata, Languages and Programming
This page was built for publication: An L p Norm Relaxation Approach to Positive Influence Maximization in Social Network under the Deterministic Linear Threshold Model