Skip to main content

Small World – Mark Buchanan ***

It’s entirely possible for something to be both fascinating and intensely unsatisfying – and that is how I felt about Small World and the topic it covers.
The subject at the book’s heart is ‘small world networks’. This is the idea behind the famous (or infamous) concept of six degrees of separation. Based on an experiment by Stanley Milgram in 1970, the idea is that everyone in the world is connected to everyone else by no more than six links. The original experiment has been criticized for being limited to the US (hardly the whole world) and not taking in enough barriers of language, class and ethnicity – yet even when these are taken into account, there is a surprisingly small number of jumps required to get from most of us to most others.
What’s even more fascinating is that this type of network occurs widely in self-organizing systems, whether it’s the structure of the internet or biological food chains. What tends to crop up are networks where there are local clusters with a few long distance links, which drastically increase the chances of wide ranging connectivity. There isn’t a single style of these small world networks – some, for instance, have vast hubs with many spokes, while others are more democratic. (Interestingly, the internet, which was supposed to be democratic to avoid losing connectivity, as it was originally a military network that had to survive attack, has gone entirely the other way with huge hubs.)
What strikes me is the vagueness of it all. There seems to be an imprecision that’s most unusual for a mathematical discipline. This could be down to the way Buchanan is presenting things of course – his style is very readable but this does sometimes (not always!) bring a degree of smoothing over. Just as an example, we are told about Erdös in 1959 solving the puzzle of how many roads are required, placed randomly, to join 50 towns. Buchanan tells us ‘It turns out, the random placement of about 98 roads is adequate to ensure that the great majority of towns are linked.’ I’m sorry? What does about 98 mean? How about ensuring the vast majority are linked? That’s small consolation if you live in one of the towns that is isolated.
The other vagueness, in the ‘six degrees of separation’ model is what we really count as an acquaintance. It’s such a fuzzy concept, it’s hard to see just how it can be made to operate with the precision required by mathematics. I have nearly 1,000 people in my email address book. Are they all acquaintances? How about those lovely people on the Nature Network with whom I often exchange comments about blog entries, but none of whom have I ever met or spoken to, and only two have I ever emailed? For that matter, what about my ‘harvest’ emails? Is somebody an acquaintance because I’ve seen their email address? Probably not. How about when someone sends me an email and copies in lots of other people. Are those email addresses part of my contact circle? I don’t know – and I doubt if the people who play around with this interesting, but in some senses rather futile feeling, research do either.
Both these examples relate to why there’s an underlying lack of satisfaction. Like chaos theory, this is a concept where initially you feel ‘wow, this should give amazing insights’ because it’s so fascinating, but then it doesn’t. I’m reminded of Rutherford’s famous remark ‘All science is either physics or stamp collecting.’ Dare I say it – this feels a bit like stamp collecting.

Paperback:  
Using these links earns us commission at no cost to you
Review by Brian Clegg

Comments

Popular posts from this blog

It's On You - Nick Chater and George Loewenstein *****

Going on the cover you might think this was a political polemic - and admittedly there's an element of that - but the reason it's so good is quite different. It shows how behavioural economics and social psychology have led us astray by putting the focus way too much on individuals. A particular target is the concept of nudges which (as described in Brainjacking ) have been hugely over-rated. But overall the key problem ties to another psychological concept: framing. Huge kudos to both Nick Chater and George Loewenstein - a behavioural scientist and an economics and psychology professor - for having the guts to take on the flaws in their own earlier work and that of colleagues, because they make clear just how limited and potentially dangerous is the belief that individuals changing their behaviour can solve large-scale problems. The main thesis of the book is that there are two ways to approach the major problems we face - an 'i-frame' where we focus on the individual ...

Introducing Artificial Intelligence – Henry Brighton & Howard Selina ****

It is almost impossible to rate these relentlessly hip books – they are pure marmite*. The huge  Introducing  … series (a vast range of books covering everything from Quantum Theory to Islam), previously known as …  for Beginners , puts across the message in a style that owes as much to Terry Gilliam and pop art as it does to popular science. Pretty well every page features large graphics with speech bubbles that are supposed to emphasise the point. Funnily,  Introducing Artificial Intelligence  is both a good and bad example of the series. Let’s get the bad bits out of the way first. The illustrators of these books are very variable, and I didn’t particularly like the pictures here. They did add something – the illustrations in these books always have a lot of information content, rather than being window dressing – but they seemed more detached from the text and rather lacking in the oomph the best versions have. The other real problem is that...

The Laws of Thought - Tom Griffiths *****

In giving us a history of attempts to explain our thinking abilities, Tom Griffiths demonstrates an excellent ability to pitch information just right for the informed general reader.  We begin with Aristotelian logic and the way Boole and others transformed it into a kind of arithmetic before a first introduction of computing and theories of language. Griffiths covers a surprising amount of ground - we don't just get, for instance, the obvious figures of Turing, von Neumann and Shannon, but the interaction between the computing pioneers and those concerned with trying to understand the way we think - for example in the work of Jerome Bruner, of whom I confess I'd never heard.  This would prove to be the case with a whole host of people who have made interesting contributions to the understanding of human thought processes. Sometimes their theories were contradictory - this isn't an easy field to successfully observe - but always they were interesting. But for me, at least, ...