Local Degree Distribution in Scale Free Random Graphs
Dublin Core | PKP Metadata Items | Metadata for this Document | |
1. | Title | Title of document | Local Degree Distribution in Scale Free Random Graphs |
2. | Creator | Author's name, affiliation, country | Agnes Backhausz; Eotvos Lorand University; Hungary |
2. | Creator | Author's name, affiliation, country | Tamas F. Mori; Eotvos Lorand University; Hungary |
3. | Subject | Discipline(s) | |
3. | Subject | Keyword(s) | scale free; random graphs; recursive trees; martingales; regular variation |
3. | Subject | Subject classification | 60G42; 05C80 |
4. | Description | Abstract | In several scale free graph models the asymptotic degree distribution and the characteristic exponent change when only a smaller set of vertices is considered. Looking at the common properties of these models, we present sufficient conditions for the almost sure existence of an asymptotic degree distribution constrained to the set of selected vertices, and identify the chararteristic exponent belonging to it. |
5. | Publisher | Organizing agency, location | |
6. | Contributor | Sponsor(s) | Hungarian National Foundation for Scientific Research, Grant No. K67961 |
7. | Date | (YYYY-MM-DD) | 2011-08-19 |
8. | Type | Status & genre | Peer-reviewed Article |
8. | Type | Type | |
9. | Format | File format | |
10. | Identifier | Uniform Resource Identifier | http://ejp.ejpecp.org/article/view/916 |
10. | Identifier | Digital Object Identifier | 10.1214/EJP.v16-916 |
11. | Source | Journal/conference title; vol., no. (year) | Electronic Journal of Probability; Vol 16 |
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
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