Random walk attachment graphs
Dublin Core | PKP Metadata Items | Metadata for this Document | |
1. | Title | Title of document | Random walk attachment graphs |
2. | Creator | Author's name, affiliation, country | Chris Cannings; University of Sheffield; United Kingdom |
2. | Creator | Author's name, affiliation, country | Jonathan H Jordan; University of Sheffield; United Kingdom |
3. | Subject | Discipline(s) | |
3. | Subject | Keyword(s) | random graphs; preferential attachment; random walk |
3. | Subject | Subject classification | 05C82 |
4. | Description | Abstract | We consider the random walk attachment graph introduced by Saramäki and Kaski and proposed as a mechanism to explain how behaviour similar to preferential attachment may appear requiring only local knowledge. We show that if the length of the random walk is fixed then the resulting graphs can have properties significantly different from those of preferential attachment graphs, and in particular that in the case where the random walks are of length 1 and each new vertex attaches to a single existing vertex the proportion of vertices which have degree 1 tends to 1, in contrast to preferential attachment models. |
5. | Publisher | Organizing agency, location | |
6. | Contributor | Sponsor(s) | |
7. | Date | (YYYY-MM-DD) | 2013-09-18 |
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/2518 |
10. | Identifier | Digital Object Identifier | 10.1214/ECP.v18-2518 |
11. | Source | Journal/conference title; vol., no. (year) | Electronic Communications in Probability; Vol 18 |
12. | Language | English=en | 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
|