Difference between revisions of "Social Network Analysis"

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Revision as of 16:46, 17 July 2009

Projects

Projects on this topic:


Project proposals

Wiki Page: Facebook automatic list suggestion
Facebook-app.png
Title: Facebook Automatic List Suggestion
Description: In Facebook each user can create lists of friends (for example: "high school","university","tennis") to better filter information and manage privacy.

Goal of this project is to develop a Facebook application to analyze a user's network of friends and automatically detect groups to suggest lists.

Tutor: [[DavidLaniado | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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Start:
Students: 1 - 2
CFU: 5 - 10
Research Area: Social Software and Semantic Web
Research Topic: Social Network Analysis
Level: Bachelor of Science, Master of Science
Type: Course
Wiki Page: Social Network Data Extraction from Online Communities
SocialNetworkDataExtraction.png
Title: Social Network Data Extraction From Online Communities
Description: With the growth of the Web and the emergence of online communities, a huge amount of data regarding social relationships is now available, that was unthinkable until a few years ago. The network of connections may unveil precious information about communities structures and dynamics and the spreading of information in the Web.

Aim of this project is to design and develop a software tool to extract this kind of information from a single social network platform (decided by the student). It may be required also some kind of analysis or visual representation of the collected data.

Tutor: [[DavidLaniado | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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Start:
Students: 1 - 2
CFU: 5 - 20
Research Area: Social Software and Semantic Web
Research Topic: Social Network Analysis
Level: Bachelor of Science, Master of Science
Type: Course, Thesis
Wiki Page: Wikipedia Page Social Network
Title: Wikipedia Page Social Network
Description: 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 category tree or in the hyperlink graph.
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Start:
Students: 1 - 2
CFU: 5 - 20
Research Area: Social Software and Semantic Web
Research Topic: Social Network Analysis
Level: Bachelor of Science, Master of Science
Type: Course, Thesis
Wiki Page: Wikipedia Tripartite Graph
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.
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  • The part "]]" of the query was not understood. Results might not be as expected.
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  • The symbol "[[" was used in a place where it is not useful.
  • The part "]]" of the query was not understood. Results might not be as expected.
  • Some subquery has no valid condition.
)
Start:
Students: 1 - 2
CFU: 20 - 20
Research Area: Social Software and Semantic Web
Research Topic: Social Network Analysis, Semantic Tagging
Level: Master of Science
Type: Thesis


Useful resources

Tools for Social Network Analysis (and visualization)
Tools for data visualization
Ontologies and vocabularies for social network data representation in the Semantic Web
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