I love the idea of trendspotting using tools that expose something of the rhythm of life on the web, so was intrigued to see another app in the area of Twitter trends via an email from @R3beccaF: timeu.se
In contrast to the 1-day, 7-day, 28 day history view offered by services like Trendistic (or in the web search area, Google Trends or Google Insights for Search, for example), timeu.se offers views binned by hour of day or day of week, and allows you to display these as line charts or as a heatmap:
There is also a scatterplot display that allows you to compare two terms, but I’m not totally sure what the axes represent?
Another related tool I don’t think I’ve blogged about before is Tweetolife, which again logs activity around a particular term on Twitter by time of day:
Interestingly, it also attempts to expose gender differences between male and female Twitter users:
PS loosely related, I notice that Google is about to start offering realtime Google Analytics
PPS something I haven’t really explored, but that possibly complements trend analysis, is sentiment analysis. Martin has started tinkering around this already: Using the Viralheat Sentiment API and a Google Spreadsheet of conference tweets to find out how that keynote went down