Library clips

There has been much interest in new ways to read RSS feeds, as the traditional RSS reader layout is falling victim to RSS overload for the addicted advanced users.

So far:

Personalisation

Findory
Findory neighbours

Filtering

Filter for search terms for each individual feeds or subscribe to a category feed…see more

Search your whole subscription for keywords (via Bloglines)

Import your OPML into a Blogdigger Group and create several search RSS feeds…or just use Feedster OPML search.

Auto-tagging

Import your OPML into a TagCloud
Personal Bee Keyphrases

Threading

Sharpreader threading
“Advanced threading support allowing you to view connected items together in a threaded fashion. SharpReader detects and shows connections between items if they have same link, if one item links to another, if two items both link to the same external webpage, or if an item has comments (for feeds supporting the standard).”

Commonsense

Instead of subscribing to lots of search feeds, and bookmark feeds (I can’t keep up with the RSS tag on del.icio.us) seek out some blogs that specialise in topics (you have to rely on others), try finding some at Technorati Blog Finder or Rojo feed tags…also check out some Public aggregators such as Blogdigger Groups, Public Bloglines, and services like Planet! Planet! (I haven’t yet discovered a directory for public RSS aggregators).

Network Visualisation

NusEye visualisation graphs…here is the paper

Word occurences within a feed (item content)
Word occurences amongst all feeds (source content)
Common feeds in blogrolls (subscription affiliation)

Here is a great insight in the problem of deciding which feeds to put in which folders:

“While it makes sense to separate sport and political webfeeds, an event like the Olympics generates content that spans both categories. Individual sources may be better clustered around the topic of “The Olympics”, for the period of time that their content focuses on the event. Again, the user is forced to expend cognitive effort to glean such trends from the chosen sources. In summary, while current webfeed aggregators use familiarity to good effect, encouraging adoption, they give no support for capturing subtle underlying relations in aggregated content”

Item content network
“This graph can give the user a sense of the important terms in a currently selected feed along with how those terms cluster and connect”

Source content network
“…a hot term…commented by many webfeeds can easily be identified”.

…so far it sounds like TagCloud or Personal Bee, except for the network visual element.

Subscription affiliation
“The top 100 webfeeds, ranked by appearance in a blogroll…”
…this is based on registering your blogroll.

RSS readers like Rojo enable you to tag feeds into multiple folders, so you could go through your feeds and tag the relevant one’s into your new Olympics tag for the time being - later on you can dispose of this tag, without losing the feeds you want to keep as some are listed in your other tags….also Rojo can rank top feeds from its users subscription lists.

So it seems that you can already identify item content, and source content, and also the subscription affiliation…the only difference is viewing it as a visual network, instead of the traditional 2 or 3 pane RSS reader view or a tag cloud.

Check out the diagrams of NusEye on the mentioned links above.

Looking forward to see further developments.

Similar posts:

Blog Clouds
Blog Ranking: Incoming links??