|
Class Summary |
| Amsler |
Amsler is a similarity measure used to establish a subject similarity between two items
fusing both Bibliographic Coupling and Co-Citation. |
| CoCitation |
Bibliographic Co-Citation is a popular similarity measure used to establish a
subject similarity between two items. |
| Companion |
Companion algorithm. |
| Coupling |
Bibliographic Coupling is a popular similarity measure used to establish a
subject similarity between two items. |
| HITS |
Kleinberg's hypertext-induced topic selection
(HITS) algorithm
is a very popular and effective algorithm to rank documents based on
the link information among a set of documents. |
| LinkageSystem |
Get the Web graph from a relational database
The expected format of the table holding the linkage information is as follows:
CREATE TABLE links (
link_id int(11) NOT NULL auto_increment,
id_page_from int(11) NOT NULL,
id_page_to int(11) NOT NULL
); |
| PageRank |
Pagerank is a an algorithm that Google utilizes to rank its search results in presence of
multiple resources matching a certain query. |
| SimRank |
SimRank is an iterative PageRank-like method for computing similarity. |
| WebGraph |
This class implements a memory Data Structure for storing graphs. |