Wikipedia Tripartite Graph - Revision history

AndreaBonarini at 15:59, 28 April 2011

2011-04-28T15:59:19Z

DavidLaniado at 08:28, 27 May 2010

2010-05-27T08:28:35Z

DavidLaniado at 18:47, 10 October 2009

2009-10-10T18:47:04Z

DavidLaniado: New page: {{ProjectProposal |title=Wikipedia Tripartite Graph |image= |description=When a user edits a Wikipedia page, we can establish a link among her, the page and the categories to which the pag...

2009-09-11T16:05:06Z

New page: {{ProjectProposal |title=Wikipedia Tripartite Graph |image= |description=When a user edits a Wikipedia page, we can establish a link among her, the page and the categories to which the pag...

New page

{{ProjectProposal
|title=Wikipedia Tripartite Graph
|image=
|description=When a user edits a Wikipedia page, we can establish a link among her, the page and the categories to which the page belongs. A model to represent this information is a tripartite graph. Aim of this project is to build a tripartite graph from Wikipedia users, pages and categories, and mine the outcome network to extract emergent semantics.
|tutor=DavidLaniado;RiccardoTasso;MarcoColombetti
|cfumin=20
|cfumax=20
|studmin=1
|studmax=2
|resarea=Social Software and Semantic Web
|restopic=Social Network Analysis;Semantic Tagging
|level=Ms
|type=Thesis
|status=Proposal
}}

Goal of this project is to study the social network of Wikipedia pages, where two pages are connected if they share at least one main contributor. This social network can be studied to reveal interesting information; for example, it is possible to extract clusters of pages which apparently have nothing in common. A metric of distance between pages in the network can be defined, and compared with other metrics, such as the distance in the [[Wikipedia Category Map|category tree]] or in the hyperlink graph.

;Tools and instruments
:the software can be implemented in any programming language.

;Related projects
:[[Wikipedia Social Network]]
:[[Mining the Network of Coordination Interactions in Wikipedia]]

@@ Line 11: / Line 11: @@
 |level=Ms
 |type=Thesis
-|status=Active
+|status=Closed
 }}
 Goal of this project is to study the social network of Wikipedia pages, where two pages are connected if they share at least one main contributor. This social network can be studied to reveal interesting information; for example, it is possible to extract clusters of pages which apparently have nothing in common. A metric of distance between pages in the network can be defined, and compared with other metrics, such as the distance in the [[Wikipedia Category Map|category tree]] or in the hyperlink graph.

@@ Line 1: / Line 1: @@
 {{ProjectProposal
 |title=Wikipedia Tripartite Graph
 |description=When a user edits a Wikipedia page, we can establish a link among her, the page and the categories to which the page belongs. A model to represent this information is a tripartite graph. Aim of this project is to build a tripartite graph from Wikipedia users, pages and categories, and mine the outcome network to extract emergent semantics.
 |tutor=DavidLaniado;RiccardoTasso;MarcoColombetti
 |studmin=1
 |studmax=2
 |resarea=Social Software and Semantic Web
 |restopic=Social Network Analysis;Semantic Tagging
 |level=Ms
 |type=Thesis
 }}
 Goal of this project is to study the social network of Wikipedia pages, where two pages are connected if they share at least one main contributor. This social network can be studied to reveal interesting information; for example, it is possible to extract clusters of pages which apparently have nothing in common. A metric of distance between pages in the network can be defined, and compared with other metrics, such as the distance in the [[Wikipedia Category Map|category tree]] or in the hyperlink graph.