Name
Abstract | ||
|---|---|---|
PageRank has become a key element in the success of search engines, allowing to rank the most important hits in the top screen of results. One key aspect that distinguishes PageR- ank from other prestige measures such as in-degree is its global nature. From the information provider perspective, this makes it difficult or impossible to predict how their pages will be ranked. Consequently a market has emerged for the optimization of search engine results. Here we study the accuracy with which PageRank can be approximated by in-degree, a local measure made freely available by search engines. Theoretical and empirical analyses lead to con- clude that given the weak degree correlations in the Web link graph, the approximation can be relatively accurate, giving service and information providers an effective new marketing tool. |
Year | Venue | Keywords |
|---|---|---|
2005 | Clinical Orthopaedics and Related Research | mean field approximation,pagerank,in-degree,search engine optimization,rank prediction.,economics,search engine,rank |
Field | DocType | Volume |
Data mining,PageRank,Graph,World Wide Web,Search engine,Information retrieval,Ranking,Computer science,Information providers,Link farm | Journal | abs/cs/051 |
Citations | PageRank | References |
16 | 3.51 | 4 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Santo Fortunato | 1 | 4209 | 212.38 |
| Marián Boguñá | 2 | 543 | 35.14 |
| Alessandro Flammini | 3 | 1705 | 94.69 |
| Filippo Menczer | 4 | 3874 | 268.67 |