Link prediction based on temporal similarity metrics using continuous action set learning automata
From MaRDI portal
Publication:1619759
DOI10.1016/j.physa.2016.03.102zbMath1400.91482OpenAlexW2338109066MaRDI QIDQ1619759
Publication date: 13 November 2018
Published in: Physica A (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.physa.2016.03.102
Social networks; opinion dynamics (91D30) Learning and adaptive systems in artificial intelligence (68T05) Formal languages and automata (68Q45) Pattern recognition, speech recognition (68T10)
Related Items
Ranking in evolving complex networks ⋮ An evidential link prediction method and link predictability based on Shannon entropy ⋮ Graph regularized nonnegative matrix factorization for temporal link prediction in dynamic networks ⋮ Measuring transferring similarity via local information ⋮ Detecting chaotic behaviors in dynamic complex social networks using a feature diffusion-aware model ⋮ An Introduction to Learning Automata and Optimization ⋮ Cellular Automata, Learning Automata, and Cellular Learning Automata for Optimization
Uses Software
Cites Work
- Unnamed Item
- Predicting missing links via local information
- Finding minimum weight connected dominating set in stochastic graph based on learning automata
- A new continuous action-set learning automaton for function optimization
- A hierarchical system of learning automata that can learn the globally optimal path
- Continuous action set learning automata for stochastic optimization
- A new status index derived from sociometric analysis
- LEARNING AUTOMATA-BASED ALGORITHMS FOR FINDING MINIMUM WEAKLY CONNECTED DOMINATING SET IN STOCHASTIC GRAPHS
- Emergence of Scaling in Random Networks
- A cross-layer optimization framework for joint channel assignment and multicast routing in multi-channel multi-radio wireless mesh networks
This page was built for publication: Link prediction based on temporal similarity metrics using continuous action set learning automata