Social Network Community Detection Using Agglomerative Spectral Clustering
Community detection has become an increasingly popular tool for analyzing and researching complex networks. Many methods have been proposed for accurate community detection, and one of them is spectral clustering. Most spectral clustering algorithms have been implemented on artificial networks, and...
Saved in:
Main Authors: | Ulzii-Utas Narantsatsralt, Sanggil Kang |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2017-01-01
|
Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2017/3719428 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Fast agglomerative clustering using approximate traveling salesman solutions
by: Sami Sieranoja, et al.
Published: (2025-01-01) -
Correction: Understanding COVID-19 vaccine hesitancy in Meghalaya, India: Multiple correspondence and agglomerative hierarchical cluster analyses.
by: PLOS ONE Staff
Published: (2025-01-01) -
Modules Identification in Gene Positive Networks of Hepatocellular Carcinoma Using Pearson Agglomerative Method and Pearson Cohesion Coupling Modularity
by: Jinyu Hu, et al.
Published: (2012-01-01) -
Spectral clustering and embedding-enhanced POI recommendation in location-based social network
by: Zhen LIU, et al.
Published: (2020-03-01) -
Improved spectral clustering algorithm and its application in MCI detection
by: Jie XIANG, et al.
Published: (2015-04-01)