A Semantic Community Detection Algorithm Based on Quantizing Progress
The semantic social network is a kind of network that contains enormous nodes and complex semantic information, and the traditional community detection algorithms could not give the ideal cogent communities instead. To solve the issue of detecting semantic social network, we present a clustering com...
Main Authors: | Xu Han, Deyun Chen, Hailu Yang |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi-Wiley
2019-01-01
|
Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2019/3475458 |
Similar Items
-
A Segmentation Algorithm of Image Semantic Sequence Data Based on Graph Convolution Network
by: Zheshu Jia, et al.
Published: (2021-01-01) -
Distance Based Vector Quantization Algorithm for Automatic Defect Detection and Classification
by: Tsai, Cia-Yang, et al.
Published: (2015) -
Asymmetric Deep Semantic Quantization for Image Retrieval
by: Zhan Yang, et al.
Published: (2019-01-01) -
On Semantic “Quantization” on a Word Level (basing on A.S. Pushkin language usage)
by: S N Perevolochanskaya
Published: (2016-12-01) -
Cross-Language Plagiarism Detection System Using Latent Semantic Analysis and Learning Vector Quantization
by: Anak Agung Putri Ratna, et al.
Published: (2017-06-01)