Large Deviation Result for the Empirical Locality Measure of Typed Random Geometric Graphs
- Kwabena Doku-Amponsah
Abstract
In this article for a finite typed random geometric graph we define the empirical locality distribution, which records the number of nodes of a given type linked to a given number of nodes of each type. We find largedeviation principle (LDP) for the \emph{ empirical locality measure}
given the empirical pair measure and the empirical type measure of
the typed random geometric graphs. From this LDP, we derive large
deviation principles for the \emph{degree measure and the proportion of detached nodes} in the classical Erd\H{o}s-R\'{e}nyi graph defined on $[0, 1]^d.$ This graphs have been suggested by (Canning and Penman, 2003) as a possible extension to the randomly typed random graphs.
- Full Text: PDF
- DOI:10.5539/ijsp.v4n1p94
This work is licensed under a Creative Commons Attribution 4.0 License.
Index
- ACNP
- Aerospace Database
- BASE (Bielefeld Academic Search Engine)
- CNKI Scholar
- COPAC
- DTU Library
- Elektronische Zeitschriftenbibliothek (EZB)
- EuroPub Database
- Excellence in Research for Australia (ERA)
- Google Scholar
- Harvard Library
- Infotrieve
- JournalTOCs
- LOCKSS
- MIAR
- Mir@bel
- PKP Open Archives Harvester
- Publons
- ResearchGate
- SHERPA/RoMEO
- Standard Periodical Directory
- Technische Informationsbibliothek (TIB)
- UCR Library
- WorldCat
Contact
- Wendy SmithEditorial Assistant
- ijsp@ccsenet.org