Library clips

Following from my post that emerged from a post by Napsterization (who has tracked the conversation and made 2 compilation posts)

…besides blog popularity I would moreso like to see my immediate blog community, and a post by BookBlog suggested to best view this in a cloud presentation.

So I would like to see a service that enables you to generate a week, month or 3 month anaylsis to see who I’m influencing, and who is influencing me (a kind of decentralised community)…limited to 10, 20. etc.. blogs.

Metrics I would like to see over a period (eg. a month):

INCOMING LINKS - from 10 most frequent blogs (and/or trackbacks)

OUTGOING LINKS - to 10 most frequent blogs (and/or trackbacks)

COMMENTS - from 10 most frequent blogs

COMMENTS I MAKE - on 10 most frequent blogs

SITE VISITS* - from 10 most frequent blogs

SITE VISITS* - to 10 most frequent blogs

* although I don’t visit many sites, I use my RSS Reader…and if you could track 10 most read blogs from within an RSS reader, this may be only because they post a lot, not because I like then more…so I think a Blogroll demonstrates likeability as a better measure.

BLOGROLL*

* these are organised alphabetically, randomly, whatever, so it’s hard to know how you are ranked within someones blogroll…and people don’t often edit their blogroll, so it’s hard to get a current view.

RELATED BLOGS/ARTICLES - from recommendation systems like Findory Neighbours, or BlogPulse Profile (doesn’t work well on my profile)

RELATED BLOGS/ARTICLES – neighbourhoods from others where my blog appears

These are metrics that mean something to me personally, I can view the top 10, 20, whatever blogs related to my blog based on the above metrics and view it visually in a cloud to see my blog community…so I’m interested more in the sources than number of links.

Maybe you could take a blog from your cloud, and view their cloud, and overlay it on your cloud to see an extended community.

This post really takes it a step further, cloud browsing a conversation, blog, or topic (keyword)…this is great for contextual discovery!