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Easing global gridlock Global Investor, 02/2013 Credit Suisse
Easing global gridlock
Global Investor, 02/2013
Credit Suisse
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GLOBAL INVESTOR 2.13 — 50<br />
Giselle Weiss: Your early research is associated<br />
with the wildly popular idea of six<br />
degrees of separation, which far predates<br />
you. How did that idea spread?<br />
Duncan Watts: I don’t know. But the<br />
notion that we are all connected through<br />
a short chain of acquaintances has been<br />
around for a long time. It shows up in<br />
a 1929 short story called “Chains” by the<br />
Hungarian poet Frigyes Karinthy. And<br />
the urbanist Jane Jacobs speculated about<br />
it in her famous book, “The Death and<br />
Life of Great American Cities.”<br />
They didn’t call it six degrees<br />
of separation, though.<br />
Duncan Watts: No. That label comes<br />
from the title of a Broadway play of the<br />
1990s by John Guare. The actual history is<br />
a little involved. But in any event, in 1967<br />
psychologist Stanley Milgram set out to test<br />
the idea by having people in Boston deliver<br />
letters to people (“targets”) in Omaha,<br />
Nebraska, through the intermediary of<br />
others known only on a first-name basis.<br />
He found that the average length of the<br />
letter chains that reached the targets was<br />
six. He called it the small world problem.<br />
DISPERSION<br />
How ideas<br />
spread<br />
Every human advance, and what we call culture, relies on the<br />
human capacity to embrace new ideas en masse. But how does that<br />
happen? How does an idea become so compelling that it is worth<br />
sharing? More important, how is it that ideas come to be adopted?<br />
Duncan Watts has made a career of studying how ideas spread.<br />
INTERVIEW by Giselle Weiss<br />
“Some things<br />
do spread quite<br />
a lot … but they<br />
are very rare,<br />
one in a million<br />
events.”<br />
Where did your research come in?<br />
Duncan Watts: In the 1990s, I was<br />
studying synchronization among crickets –<br />
who chirps with whom. Then one day<br />
on the phone, my dad asked me whether<br />
I’d ever heard of the idea that everyone<br />
is only six handshakes away from the<br />
president of the United States. It occurred<br />
to me that both problems involved networks,<br />
and that interested me.<br />
What makes the idea so powerful?<br />
Duncan Watts: We’re attracted to<br />
the Enlightenment idea of ourselves as<br />
independent individuals who decide<br />
what we want to do and go out and do it.<br />
But the reality is that we’re very much<br />
enmeshed in social relations. Everything<br />
we do and care about involves other<br />
people. These are network concepts.<br />
Recently, you’ve been working on the<br />
structure of viral diffusion, for example,<br />
of tweets on Twitter. What’s that about ?<br />
Duncan Watts: We’ve been mapping<br />
the spread of information, particularly<br />
online. When you think about how information<br />
spreads, it’s natural to liken it<br />
to the spread of a disease. In fact, people<br />
have been doing that for a long time<br />
in marketing. And it’s been popularized<br />
in recent years by people like Malcolm<br />
Gladwell, author of “The Tipping Point,”<br />
who very explicitly draws the analogy<br />
between the spread of behaviors or beliefs<br />
and diseases.<br />
That sounds reasonable.<br />
Duncan Watts: At a certain level,<br />
it is. But it’s tempting to go a step further<br />
and apply the same mathematical models<br />
that have been developed to understand<br />
the spread of a disease to the spread<br />
of ideas or products.<br />
What’s wrong with that?<br />
Duncan Watts: There are all sorts<br />
of models of how things spread, and they’re<br />
often incompatible with each other. Moreover,<br />
we have very little data to test any<br />
of these models. For example, if you want<br />
to trace the spread of an idea, you have<br />
to be able to observe that person A has that<br />
idea, and then that person tells B, and then<br />
person B has the idea, and now person B<br />
tells person C. Mapping this out in a population<br />
of millions of people with hundreds of<br />
thousands and millions of things to observe<br />
is a tremendously difficult process.<br />
So how do you approach it ?<br />
Duncan Watts: We’ve done a lot of work<br />
using Twitter data – news, media, images –