Cargando…
Popularity and Novelty Dynamics in Evolving Networks
Network science plays a big role in the representation of real-world phenomena such as user-item bipartite networks presented in e-commerce or social media platforms. It provides researchers with tools and techniques to solve complex real-world problems. Identifying and predicting future popularity...
Autores principales: | Abbas, Khushnood, Shang, Mingsheng, Abbasi, Alireza, Luo, Xin, Xu, Jian Jun, Zhang, Yu-Xia |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5910395/ https://www.ncbi.nlm.nih.gov/pubmed/29679015 http://dx.doi.org/10.1038/s41598-018-24456-2 |
Ejemplares similares
-
A Novel Temporal Network-Embedding Algorithm for Link Prediction in Dynamic Networks
por: Abbas, Khushnood, et al.
Publicado: (2023) -
Beyond Darwin: evolvability and the generation of novelty
por: Kirschner, Marc
Publicado: (2013) -
The Competition of Homophily and Popularity in Growing and Evolving Social Networks
por: Liu, Yezheng, et al.
Publicado: (2018) -
Link Prediction in Evolving Networks Based on Popularity of Nodes
por: Wang, Tong, et al.
Publicado: (2017) -
Application of network link prediction in drug discovery
por: Abbas, Khushnood, et al.
Publicado: (2021)