Untitled

Najim, Christopher A.; Russo, Ralph P.

doi:10.1023/a:1024173204072

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2007

2008

Publication Types

Select...

Article1

Other1

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Statistical Properties of a Generalized Threshold Network Model

Ide

Konno

Masuda

2008

Methodol Comput Appl Probab

View full text Add to dashboard Cite

The threshold network model is a type of finite random graphs. In this paper, we introduce a generalized threshold network model. A pair of vertices with random weights is connected by an edge when real-valued functions of the pair of weights belong to given Borel sets. We extend several known limit theorems for the number of prescribed subgraphs to show that the strong law of large numbers can be uniform convergence. We also prove two limit theorems for the local and global clustering coefficients. * Postal address: 79-5, Tokiwadai, Hodogaya-ku, Yokohama 240-8501, Japan † Postal address: 7-3-1, Hongo, Bunkyo-ku, Tokyo 113-8656, Japan

show abstract