A Novel Hybrid Approach for Improving the Accuracy of the Supervised Link Prediction Based on Graph Structure Features in Social Networks.
Mohamed BadiyFatima AmounasMoha HajarPublished in: CBI (2022)
Keyphrases
- link prediction
- social networks
- graph structure
- social network analysis
- topological features
- random walk
- network analysis
- supervised learning
- network structure
- bipartite graph
- complex networks
- directed graph
- community detection
- graphical models
- biological networks
- graph structures
- graph mining
- learning algorithm
- heterogeneous networks
- semi supervised
- feature space
- nearest neighbor
- social media
- data sets
- heterogeneous information networks
- missing links
- factor graph model