Cargando…
Link Prediction by Analyzing Temporal Behavior of Vertices
Complexity and dynamics are challenging properties of real-world social networks. Link prediction in dynamic social networks is an essential problem in social network analysis. Although different methods have been proposed to enhance the performance of link prediction, these methods need significant...
Autores principales: | Selvarajah, Kalyani, Kobti, Ziad, Kargar, Mehdi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7304046/ http://dx.doi.org/10.1007/978-3-030-50420-5_19 |
Ejemplares similares
-
Node Classification in Complex Social Graphs via Knowledge-Graph Embeddings and Convolutional Neural Network
por: Molokwu, Bonaventure C., et al.
Publicado: (2020) -
The Temporal Structure of Vertical Arm Movements
por: Gaveau, Jérémie, et al.
Publicado: (2011) -
Low-temperature derived temporal change in the vertical distribution of Sesamia inferens larvae in winter, with links to its latitudinal distribution
por: Huang, Jianrong, et al.
Publicado: (2020) -
Extracting and Analyzing the S-Parameters of Vertical Interconnection Structures in 3D Glass Packaging
por: Liu, Jinxu, et al.
Publicado: (2023) -
Adult pilomyxoid astrocytoma presenting in the temporal lobe
por: Selvarajah, Denesh, et al.
Publicado: (2023)