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Easing global gridlock Global Investor, 02/2013 Credit Suisse

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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 –

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