EconPapers    
Economics at your fingertips  
 

Moderate deviation principle of modularity in network

Qing Yin (), Yu Miao (), Zhen Wang () and Guangyu Yang ()
Additional contact information
Qing Yin: Henan Normal University
Yu Miao: Henan Normal University
Zhen Wang: Henan Normal University
Guangyu Yang: Zhengzhou University

Metrika: International Journal for Theoretical and Applied Statistics, 2024, vol. 87, issue 3, No 3, 298 pages

Abstract: Abstract In the present paper, we study a specific partition of a given network and establish the moderate deviation principle of modularity for the partition when the size of the network gets large.

Keywords: Modularity; Moderate deviation principle; Network; Complex systems; 05C82; 60F10 (search for similar items in EconPapers)
Date: 2024
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s00184-023-00914-4 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:spr:metrik:v:87:y:2024:i:3:d:10.1007_s00184-023-00914-4

Ordering information: This journal article can be ordered from
http://www.springer.com/statistics/journal/184/PS2

DOI: 10.1007/s00184-023-00914-4

Access Statistics for this article

Metrika: International Journal for Theoretical and Applied Statistics is currently edited by U. Kamps and Norbert Henze

More articles in Metrika: International Journal for Theoretical and Applied Statistics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-06
Handle: RePEc:spr:metrik:v:87:y:2024:i:3:d:10.1007_s00184-023-00914-4