Thursday, 13 September 2012


So yeah, I was at the #Londata meetup this evening, it was all about Big Data. I was a little out of my depth.

My depth being those job vacancy posts I did in 2009, those libor posts of 2008, and the London rents posts of 2012, all lovingly scraped by hand. Rather than the api-driven professional affairs of tonight's audience.

Anyhoo at #Londata a company called Bloom were showing off some pretty network diagrams illustrating influence on twitter. They look like dandelions and help companies identify who to engage with. Its all to do with who passes on specific messages on twitter and expands the reach of a client's campaign.

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.

There's a handful of bands and a handful of people who all go to the same concerts. Sure some gigs are full of other people and some people go to see other bands gigs, but there is a hard core who are key to the scene. This we already knew.

Maybe if they were diagrammed as nodes, each node is a person, the lines reflect going to gigs, the colours have no relevance.

This diagram is just to illustrate the concept, Alice from The Cosines has probably been to Moustache of Insanity gigs, Bill From Moustache of Insanity has probably reciprocated and Hannah from Owl and Mouse must have been to a Moustache gig at some point too. And Trev OddBox, he puts on most gigs within the scene.

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.

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