Research Journal

Eivind Uggedal
eu@redflavor.com
2007-12-04

Supervision Meeting 2007 12 04

The meeting began at 13:00 and lasted approximately 60 minutes.

Feedback on Delivery

Tim Berners-Lee’s point about the Giant Global Graph is quite interesting. It shows how social navigation across several web pages is becoming mainstream with mashups, Facebook’s applications, and OpenSocial. There is a correlation between the Graph (the Semantic Web) and Web 2.0 even though Web 2.0 is a more widespread term. I should state the interesting of this phenomena but that it’s left out of my research due to time concerns.

When discussing collaborative filtering it would be important to differentiate by group and friendship based filtering and content based filtering. Is this two fundamental parts of social navigation categorization? From this we could actually create a hypothesis that social navigation either is friendship based or content based. This could fit nicely into my discussion chapter where we look at larger groupings of social navigation than for instance hyperlink sharing, social annotation, etc. Examples of already defined groupings of social navigation, although at another dimension, is implicit and explicit social navigation.

While studying social navigation it becomes apparent that privacy concerns is a central theme. By using user profiles targeted filtering of for example ads can be archived (and actually is implemented in Facebook’s Beacon). This area of study could warrant an entirely new master thesis so at this point it’s best to state that I’ll have to ignore such concerns.

Separation between the background chapter and the analysis chapter have to be clearer:

In my analysis I could introduce relevant web pages as del.icio.us, trailfire etc. before discussion the other services in depth. Superficial analysis of these should perhaps be described in the methodology chapter.

Future Work

I should finish my background chapter and then begin to focus on my analysis. I could very well begin content inventories for Facebook and Amazon before concluding my Flickr analysis.