ResearchBuzz Roundup 060407

Geothermal Energy Blog — http://thegeothermalenergyblog.blogspot.com/ — “The Geothermal Energy Blog is devoted to the documentation of key monographic literature relating to all aspect of geothermal energy.” Aaaand the Wind Energy Blog.

CBS buys Last.fm. Nobody wants Pandora?

Sheldon Brown’s online cycling encyclopedia. Much love to Cool Tools.

Harlequin — yeah, the romance Harlequin — is gonna do nonfiction. Wubba?

Sweden opens new embassy in Second Life.

Cars as network nodes. Heh.

Congrats to Steven for the million page views! Library Stuff rox my sox.

Live Digg comments. Refreshes constantly. A very nice airing out for my brain.

New Mozilla.

Google Calendar, now for cell phone.

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Google Trends are Not Enough — We Must Have HOT TRENDS!

Not satisfied with the Google Zeitgeist and the Google Trends, Google has announced Google Hot Trends, available at http://www.google.com/trends/hottrends#.

Hot trends is not simply the most popular search. First of all it covers more than the Web search — it covers Web, News, and Google Blog searches. Second is that Google Trends doesn’t list the most popular searches, it lists the searches that are deviating the most from normal. Ones with “buzz”, I suppose. The trends product lists the top 100 searches in plain text, which is a little boring next to, say, Digg City.

Anyway, you’ll get a list of the hottest searches for a particular date. Click on a search and you’ll get additional information about it including “hotness” (mild, spicy, medium, etc. The highest one is volcanic), related searches, peak (in time and graph format) and related search results from Web, News, and Blog search. Sometimes these articles seem too general (especially when the term is really general, like NASCAR) but I was surprised at how often they were spot-on (Hi Five was a good example.)

With the changes to Google’s daterange: syntax, I decided to do a little experimenting. I first changed the trend date to May 15. The hot search that day was Jerry Falwell. Then I went and got the Julian date for May 25, 2007, which is 2454246.

I ran a daterange search on Google: “Jerry Falwell” daterange:0-2454236 . The results came up just over 1.5 million. I then ran another search: “Jerry Falwell” daterange:2454236-2454246 (That is to say, finding “Jerry Falwell” in pages added to Google’s index between May 15 and May 25.) Results were amazing. There were MORE pages for that particular span of ten days — over 1.6 million — than there were for everything up to May 15, 2007. (And the first few pages of results bore that out — they were mostly obituaries, editorials, reactions, blog posts, etc.)

Now, Google STILL doesn’t support the daterange syntax, estimate results are only estimates, and Google has only recently changed the daterange syntax so this might be a flawed experiment. But I would love to create a tool around this. Take a list of hot searches from two weeks ago. For each hot search, run a daterange search for every day since the search was hot, and see if pages with the search term are being added to Google’s index. If they are, count them. Is a search term spawning fifty new pages a day? Is it not getting any community reaction at all? Is it a little cultural puffball, or a trend?

Go further and do text-analysis on the found pages. What do you see? Are there words/topics that are appear consistently on those pages? Are they on the cultural radar yet? Have you SPOTTED SOMETHING?

Oh, for more time or more mad programming skillz….

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Feed Rinse (Now Free) For Filtering RSS Feeds

Somehow when I spent so much time reviewing sites that allowed you to filter RSS feeds, I missed Feed Rinse, which is available at http://www.feedrinse.com/ . And I find when visiting the site now that the service is free, so there’s no time like the present…

To use Feed Rinse you’ll need to register, which requires only a user name, e-mail address, and password. Once you’re registered, you’ll be asked to set up a feed. You can set up one feed at a time or import an OPML file. The site says the free version is limited to five feeds, but since the whole service is free now, I’m not sure what that means.

Anyway, let’s use an example. I’m going to put in the RSS feed for lolcat site I Can Has Cheezburger?. Once I’ve put in the feed Feed Rinse allows me to set up rules.

I can allow feed entries to appear in the feed based on keywords, or block feed entries from the feed based on keywords. I can also block or allow based on the start or end of the feed. I can also narrow the restriction down to body, title, tag, or author. So if I wanted to restrict my lolcat feed just to those pictures with invisible items, I could generate a rule that allowed only those lolcats that have invisible in the title. You can set up one condition or several (block several keywords, allow only a group of keywords, etc.)

Once you’ve set up your filters, Feed Rinse implements them immediately. When you click on the RSS symbol next to the feed name, Feed Rinse gives you the option to get a feed aimed toward several different readers: Google, Bloglines, etc. (There’s a plain one for “other” — I could never get that one to display.)

I liked how easy this was to use, and how the filters were powerful but implemented through a set of simple pulldowns. Recommended if you have a few feeds you want to filter.

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