An Asymmetric Popularity-Similarity Optimization Method for Embedding Directed Networks into Hyperbolic Space
Joint Authors
Fan, Ying
Wu, Zongning
Di, Zengru
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-04-22
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
Network embedding is a frontier topic in current network science.
The scale-free property of complex networks can emerge as a consequence of the exponential expansion of hyperbolic space.
Some embedding models have recently been developed to explore hyperbolic geometric properties of complex networks—in particular, symmetric networks.
Here, we propose a model for embedding directed networks into hyperbolic space.
In accordance with the bipartite structure of directed networks and multiplex node information, the method replays the generation law of asymmetric networks in hyperbolic space, estimating the hyperbolic coordinates of each node in a directed network by the asymmetric popularity-similarity optimization method in the model.
Additionally, the experiments in several real networks show that our embedding algorithm has stability and that the model enlarges the application scope of existing methods.
American Psychological Association (APA)
Wu, Zongning& Di, Zengru& Fan, Ying. 2020. An Asymmetric Popularity-Similarity Optimization Method for Embedding Directed Networks into Hyperbolic Space. Complexity،Vol. 2020, no. 2020, pp.1-16.
https://search.emarefa.net/detail/BIM-1144281
Modern Language Association (MLA)
Wu, Zongning…[et al.]. An Asymmetric Popularity-Similarity Optimization Method for Embedding Directed Networks into Hyperbolic Space. Complexity No. 2020 (2020), pp.1-16.
https://search.emarefa.net/detail/BIM-1144281
American Medical Association (AMA)
Wu, Zongning& Di, Zengru& Fan, Ying. An Asymmetric Popularity-Similarity Optimization Method for Embedding Directed Networks into Hyperbolic Space. Complexity. 2020. Vol. 2020, no. 2020, pp.1-16.
https://search.emarefa.net/detail/BIM-1144281
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1144281