So yeah, I was at the #Londata meetup this evening, it was all about Big Data. I was a little out of my depth.
One thing I took away from the presentation was that I ought to change my profile details on Twitter to more accurately represent my interests. Or maybe not, maybe I can opt out of being a marketeer's pawn by having my interests as guinea pigs and Dutch politics, things completely incongruous to the content of my tweets.
Anyhoo, I was wondering how Bloom's networky authority stuff could apply to the indiepop music scene. Allo Darlin were playing at Kings College tonight so its kind of topical, and Allo Darlin are both the sort of band who's members go to lots of other gigs and are also the sort of band who played on a train platform at the seminal Indietracks 2008 festival.
Maybe if they were diagrammed as nodes, each node is a person, the lines reflect going to gigs, the colours have no relevance.
But can twitter be used more intelligently than just spamming the usual suspects, and target people better than just me tugging on people's sleeves?
Information about who goes to what gigs used to be more freely available on songkick, you could look at anyone's gig history and filter it and easy build up an idea of who liked what gigs and who your gigmates are. But now this information is less visible and it takes minds greater than mine to extract it.
Hmm, I'm not quite sure what the point of this blogpost was, just a ramble I guess, with links.