A nifty new Web 2.0 buzzword. What’s a Memetracker? Let me define it first.
As communities grow in the online world new ideas emerge, spreading across the content fabric of the digital world at a sometimes furious pace. The speed of the emergence, and the following crash, of these ideas, or memes, makes tracking emergence by hand, or by an unaided individual, almost impossible. The sheer size and dynamic of the myriad communities makes tracking community information and ideas a data flow and logistics problem. Hence the need for memeTracker, a program to automatically crawl and analyze online communities, reporting the emergence and diffusion of new ideas.
The ‘blog-oh-sphere’ is a place where there are more content creators than consumers, and everyone is busy honking their own horn – me included. The issues with memetrackers of today
- There aren’t enough memes to sustain just blog based news ecosystem. So traditional sources of news are going to be part of memetracking, which narrows down its advantage over Google/Yahoo! News et al.
- By definition ‘Meme’ are old news, and among the early adopters, almost everyone is so proactive to have accessed it earlier than ‘memtrackers’ pick it up.
Memetrackers are going to pick up, as aggregation is the key to content access in future. But so is customization. Memetrackers are going to drive and be driven by the growth of RSS, as those can provide customized remixing of news and related content – synergies of the two.
Some blurb from the link I produced earlier.
The Data Conduit
MemeTracker as a data service required the formulation of the program as a data conduit, a program able to be placed into an existing flow of data without significant alteration of the existing data paths or data expectations. This is facilitated by the existing XML database formats used by memeTracker. The data conduit model is detailed in the final diagram of the programatic flow of memeTracker in relation to other applications. The key to the data conduit model is the seperation of all processed data into individual chunks of information that can be consumed individually or as a whole data structure, without corrupting the integrity of the data as a whole.
But what do we have there to make financial sense of it – ads, not innovative enough.