SAWEG: A new algorithm for network clustering

Chun Gui
Additional contact information
Chun Gui: Key Laboratory of China’s Ethnic Languages and Information Technology of Ministry of Education, Northwest Minzu University, Lanzhou City, Gansu Province, 730000, P. R. China2College of Mathematics and Computer Science, Northwest Minzu University, Lanzhou City, Gansu Province, 730000, P. R. China

International Journal of Modern Physics C (IJMPC), 2021, vol. 32, issue 02, 1-16

Abstract: The relationship between nodes in the network is reflected by edges. It is novel to study the network from the perspective of edges rather than nodes. Following the idea of edge graph clustering which provides an unorthodox approach to represent the topology of the systems, we propose a new clustering method called Spectral Analysis based on Weighted edge graphs to find the overlapping clusters. According to the incidence matrix of the original network, we obtain the corresponding edge graph. The first two nontrivial eigenvectors dimensional spaces are built with the Laplacian Matrix, and we get edge dendrogram of the network. Then cut the edge dendrogram by using the improved partition density to get the optimal community structure. The proposed algorithm successfully finds the common nodes between clusters. Experiments on five real-world networks show that the proposed SAWEG algorithm performs better than the other three benchmarking clustering algorithms.

Keywords: Partition density; clustering; edge graph; edge dendrogram; Laplacian matrix (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0129183121500273
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:ijmpcx:v:32:y:2021:i:02:n:s0129183121500273

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0129183121500273

Access Statistics for this article

International Journal of Modern Physics C (IJMPC) is currently edited by H. J. Herrmann

More articles in International Journal of Modern Physics C (IJMPC) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().