This is a meta post describing two features on this blog that I don’t think I’ve documented before. Apologies for the navel-gazing, I hope there’s enough useful information here to make it worth reading
Most folks read my blog through the RSS feed, but those who peruse the web version get to see many different forms of navigational aids to help the user around the website. Since the blog runs on Drupal , I get to deploy all sorts of fun stuff. One example is the Similar Entries module, that uses MySQL’s FULLTEXT similarity to show possibly related posts1. This allows you to jump around on the website reading posts similar to each other, which is especially useful for readers who come in from a search engine result page. For example, they may come in looking for Magic Bus for the iPhone , but given that they’re probable iPhone users, they may be interested in the amusing DIY iPhone Speakers post.
The Timeline Footer
However, given that this blog has amassed about a thousand posts over seven years now, it becomes hard to expose an “overview” of that much information to the reader in a concise manner. Serendipitous browsing can only go so far. Since this is a personal blog, it is interesting to appreciate the chronological aspect of posts. Many blogs have a “calendar archive” to do this, but somehow I find them unappealing; they occupy too much screen space for the amount of information they deliver. My answer to this is a chronological histogram, which shows the frequency of posts over time:
Each bar represents the number of blog posts I posted that month, starting from August 2002 until now2. Moving your mouse over each bar tells you which month it is. This visualization presents many interesting bits of information. On a personal note, it clearly represents many stages of my life. June of 2005 was a great month for my blog — it had the highest number of posts, possibly related to the fact that I had just moved to Bangalore, a city with and active Blogging community. There are noticeable dips that reflect extended periods of travel and bigger projects.
In the background, this is all done by a simple
The Dot Header
Many of my posts are manually categorized using Drupal’s excellent taxonomy system. A traditional solution to this is to create sections, so that the user can easily browse through all my Poems or my nerdy posts. The problem is that this blog contains notes and links to things that I think are “interesting”, a classification that has constantly evolved as my interests have changed over the past decade. Not only is it hard for me to box myself into a fixed set of categories, maintaining the evolution of these categories across 7+ years is not something I want to deal with every day.
This is where tags and automatic term extraction come in. As you can see in the top footer of the blog mainpage , each dot is a topic, automatically extracted from all posts on the website. I list the top 60 topics in alphabetical order, where each topic is also a valid taxonomy term. The aesthetics are inspired by the RaphaelJS dots demo, but just like the previous visualization, it is done using pure CSS + HTML. The size and color of the dot is based on the number of items that contain that term. Hovering over each dot gives you the label and count for that dot, clicking them takes you to an index of posts with that term. This gives me a concise and maintainable way to tell the user what kinds of things I write about. It also addresses a problem that a lot of my readers have — they either care only about the tech-related posts (click on the biggest purple dot!), or only about the non-tech posts (look for the “poetry” dot in the last row!).
This visualization works by first automatically extracting terms from each post. This is done using the OpenCalais module (I used to previously use Yahoo’s Term Extractor, but switched since it seems Yahoo!‘s extractor is scheduled to be decommissioned soon). The visualization is updated constantly using a cached
GROUP BY block similar to the previous visualization, this time grouped on the taxnomy term. This lets me add new posts as often as I like, tags are automatically generated and are reflected in the visualization without me having to do anything.
So that’s it, two simple graphical ways to represent content. I know that the two visualizations aren’t the best thing since sliced bread and probably wont solve World Peace, but it’s an attempt to encourage discoverability of content on the site. Comments are welcome!