Difference between revisions of "Wikipedia Category Graph"
JacopoFarina (Talk | contribs) (aggiunto link per scaricare sorgenti) |
JacopoFarina (Talk | contribs) (aggiornati dopo filtraggio categorie non semantiche) |
||
| Line 33: | Line 33: | ||
We can use the tools described [http://igraph.sourceforge.net/doc/R/00Index.html here] | We can use the tools described [http://igraph.sourceforge.net/doc/R/00Index.html here] | ||
| − | The '''diameter''' of the graph is | + | The '''diameter''' of the graph is 32. This is the maximum distance (number of nodes in the minimum path) between two nodes. These two nodes are ''Prehistoric life sorted by geography'' (A category about prehistoric animals without articles) and ''BMW M20'' (a car). |
| − | The '''average distance''' between two nodes is | + | The '''average distance''' between two nodes is 5.5568. |
| − | The '''graph density''' is | + | The '''graph density''' is 6.28*10<sup>-7</sup>. This is the ratio of the number of edges and the number of possible edges. |
==Download== | ==Download== | ||
Revision as of 15:18, 5 September 2010
Wikipedia Category Graph
| |
| Short Description: | Represent Wikipedia Categories with a model based on graphs to further analyze it. |
| Coordinator: | MarcoColombetti (colombet@elet.polimi.it) |
| Tutor: | DavidLaniado (david.laniado@gmail.com), RiccardoTasso (tasso@elet.polimi.it) |
| Collaborator: | |
| Students: | JacopoFarina (jacopo1.farina@mail.polimi.it) |
| Research Area: | Social Software and Semantic Web |
| Research Topic: | Graph Mining and Analysis |
| Start: | 2010/06/10 |
| End: | 2010/10/01 |
| Status: | Active |
| Level: | Bs |
| Type: | Course |
The goal of the project is to analyze Wikipedia categories by representing them in a graph based database.
Wikipedia categories are not a three-based structure: a category may be contained in another one which is contained in another one which is contained in the first, generating a cyclic reference and many categories may be a root category (non contained in others).
For this reasons a graph database is better to represent the structure.
Contents
Creation and further analysis of the database with igraph
Wikipedia let users download the entire site database (with all versions of all articles) or just some selections of it. We use a selection which contains the category list and articles memberships in them.
Neo4j is a graph-based database, which allow a program to create and manipulate graph structures like nodes and relationships.
In order to transfer the database in neo4j format is better save it in a file, which will be read one line at time.
After transferring the structure in a Neo4j graph is possible to create from it a Pajek file (.net) to make general analysis like described here.
Results of the analysis
We can use the tools described here
The diameter of the graph is 32. This is the maximum distance (number of nodes in the minimum path) between two nodes. These two nodes are Prehistoric life sorted by geography (A category about prehistoric animals without articles) and BMW M20 (a car).
The average distance between two nodes is 5.5568.
The graph density is 6.28*10-7. This is the ratio of the number of edges and the number of possible edges.
Download
Previous Work
What's in Wikipedia? Mapping Topics and Conflict Using Socially
