Lists. Endless lists. The latest curse of the web are those endless swimming pools of customer data - most popular, most active, most tagged or downloaded. Personally I hate them. They tell me nothing, other than other people’s aggregated bad taste. Worse – they miss one of the Internet’s most subtle and powerful features – the discovery power of networks.
Networks are amazing things. If the eighties and nineties
had Moore’s Law framed on the wall,
our decade could as easily enshrine the golden rule of network economics.
According to Metcalfe's Law, the value of a telecommunications network is
proportional to the square of the number of users of the system. In other
words, every one benefits disproportionately by the addition of new user. But
just what does benefit mean?
Network theorists talk a lot about the power of
connections. An extra person in a phone or fax network, is another person that
everyone can call. However in my view, the real value is not just that extra
person – but their actual address book – the memory trace of all their prior
interactions. If that sounds too abstract for you – ask a teenager.
Compare that experience to Amazon’s personalisation
service or Apple’s iTunes. Both services use reasonably sophisticated filtering
tools to make recommendations based on other users with similar purchasing
patterns, or lists of most purchased items. Despite the slick algorithms, they
are tools of limited utility. Even if Amazon doesn’t peg you for gay because
you buy your wife cooking books and opera CDs, the mass aggregation of consumer
data has the banal effect of turning taste into linear function. There are
simply not enough good surprises.
What would be really interesting is if online retailers
allowed you to dig through clusters of real customers who bought a particular
book or song, and then wade through their actual transaction history looking
for clues. The data is all there. The value is not in averaging it, but making
the underlying networks more transparent.
Navigating networks is not an entirely new form of
behaviour. You might remember the phrase that people rarely use anymore - web
surfing. More appropriate to a time when the best of the web could be surmised
by the Netscape Cool List, it is also a good analogy for the way that people
browse through other people’s social connections and data trails.
Network surfing is the opposite of search, even though
both use similar techniques for determining relevance. Search engines spider
link networks looking for patterns which they then aggregate into result sets.
Network surfers act like spiders themselves, but not with a view to finding a
specific answer. If anything, you skim for a vibe, an individual trend, or a
cluster of users which they can then mine for the information they want. It is
inductive as opposed to deductive thinking. Friar William would be proud.
There are lots of examples of network surfing in action –
other than just stalking hotties on MySpace. If you want to become an instant
expert on the Chinese internet market in under an hour – using Google isn’t the
answer. Your best bet is to find a couple of highly plugged in Chinese blog
writers, and surf through their network of sites they read, link to, the people
that comment on their site, and their blogs and so on.
Similarly - if you want to figure out the hottest
underground music in New York at the moment, typing “hottest music New York”
into a search engine or looking at the most downloaded pop song list in iTunes
is not going to help you much. Try instead finding a cohort of creatives on
MySpace and surf their friends lists, looking at which bands are most linked to
and discussed. Or log onto Last.fm, a music based social network. Last.fm plugs
into your music player, and by tracking what people are actually listening to,
lets you trawl through real data rather than taste guesstimates.






Mike,
Insightful post, what do you feel the reality is of the big players such as Amazon et all being comfortable enough to open up from the midset of being "retailers" through to being facilitators of the social aspect of say a book club/social network, with the hook being that they sell books etc to make that happen?
Luke B
Posted by: Luke Byrne | July 03, 2006 at 12:16 PM
Great article again
One of the key points to take into consideration of network value is brand trust. For example an incumbant telco or media body may have an existing broad network but if there is not trust then the value is diminished. This is a challenge for any organisation that has employed monopolistic practices in the past.
Today the key to technology adoption is the human connection. It is us, as consumers, which ultimately determines which technology succeeds or fails. Success is achieved not only through a good marketing mix (every business strives to get the product, price, promotion etc right) - it is through the customer experience - how you make the customers life better - how you build customer trust and engagement.
Posted by: Maxus Bangerman | July 03, 2006 at 02:23 PM
An anthropologist named Dunbar posited that the average human - based on the 'neocortex ratio' - could maintain up to 15 intimate relationships, 150 'friendships' (the average attendance at a funeral) and up to 1500 'acquaintances'. The neocortex ratio is the sixe of the neocortex vs the size of the brain. We have these network capabilities hardwired into our neurological systems. Humans are networked by design.
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