Degree distribution nearby the origin of a preferential attachment graph
Dublin Core | PKP Metadata Items | Metadata for this Document | |
1. | Title | Title of document | Degree distribution nearby the origin of a preferential attachment graph |
2. | Creator | Author's name, affiliation, country | Móri F. Tamás; Department of Probability Theory and Statistics, Eötvös Loránd University |
3. | Subject | Discipline(s) | |
3. | Subject | Keyword(s) | Scale free graphs; degree distribution; martingale |
3. | Subject | Subject classification | 60G42; 05C80 |
4. | Description | Abstract | In a 2-parameter scale free model of random graphs it is shown that the asymptotic degree distribution is the same in the neighbourhood of every vertex. This degree distribution is still a power law with characteristic exponent 2, but this exponent is different from the one observed in the whole graph. |
5. | Publisher | Organizing agency, location | |
6. | Contributor | Sponsor(s) | Hungarian Scientific Research Fund (OTKA) Grant K67961 |
7. | Date | (YYYY-MM-DD) | 2007-09-13 |
8. | Type | Status & genre | Peer-reviewed Article |
8. | Type | Type | |
9. | Format | File format | |
10. | Identifier | Uniform Resource Identifier | http://ecp.ejpecp.org/article/view/1299 |
10. | Identifier | Digital Object Identifier | 10.1214/ECP.v12-1299 |
11. | Source | Journal/conference title; vol., no. (year) | Electronic Communications in Probability; Vol 12 |
12. | Language | English=en | |
14. | Coverage | Geo-spatial location, chronological period, research sample (gender, age, etc.) | |
15. | Rights | Copyright and permissions | The Electronic Journal of Probability applies the Creative Commons Attribution License (CCAL) to all articles we publish in this journal. Under the CCAL, authors retain ownership of the copyright for their article, but authors allow anyone to download, reuse, reprint, modify, distribute, and/or copy articles published in EJP, so long as the original authors and source are credited. This broad license was developed to facilitate open access to, and free use of, original works of all types. Applying this standard license to your work will ensure your right to make your work freely and openly available. Summary of the Creative Commons Attribution License You are free
|