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Intro To Power Laws (March 2008)

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An introduction to power law distributions, with a focus on branded markets. Somewhat text-heavy by today's standards, but presentation was created in late 2007.
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Kyle Findlay [email protected] The TNS Customer Equity Company Research & Development March 2008 An Introduction to Power Laws Image: Map of the human genome
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Page 1: Intro To Power Laws (March 2008)

Kyle [email protected] The TNS Customer Equity CompanyResearch & DevelopmentMarch 2008

An Introduction to Power Laws

Image: Map of the human genome

Page 2: Intro To Power Laws (March 2008)

22

How we currently approach the world…

It is generally assumed that the normal distribution dominates our world (and our industry)

However; such an important assumption is definitely worth questioning

It applies to certain areas such as biometric data (e.g. height, age, weight)…

…but a few popular science authors have recently cast some doubt on this assumption:

Philip Ball, Critical Mass (2005)

Chris Anderson, The Long Tail (2006)Nassim Taleb, The Black Swan (2007)

We have been brainwashed into assuming normal distributions exist everywhere…

…when the real-world is far more non-linear, complexand systems-based!!!!!!!!!!

Page 3: Intro To Power Laws (March 2008)

33

What is a power law?

Describes certain distributions that are top-heavy and have “long tails”

“A power law applies to a system when large is rare and small is common”*

*Source kottke.orghttp://www.kottke.org/03/02/weblogs-and-power-laws Date accessed: 25-02-2008

Long tail (many)Dominant few

An example power law graph**, being used to demonstrate ranking

of popularity

To the right is the long tail with many small observations…

…to the left are the few large that dominate

**Source Wikipediahttp://en.wikipedia.org/wiki/Power_lawsDate accessed: 25-02-2008

Page 4: Intro To Power Laws (March 2008)

44

Where do we see power laws?

Lots of places…

Customer sales (most sales come from a few customers)

Market share (a market only has a few market leaders and many smaller brands)

Popularity of celebrities, musicians…

…and any other group in an environment that includes social influence

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Page 5: Intro To Power Laws (March 2008)

55

Where do we see power laws?

More examples…

Size of cities

Frequency and magnitude of earthquakes

Protein families within the human (and other animals’) genome

Networks:

The number of connections that individual nodes in a scale-free network have follow a power law e.g.

*Source Wikipediahttp://en.wikipedia.org/wiki/Complex_network Date accessed: 25-02-2008

*Source Social Network Analysis: Advances and Empirical Applications Forumhttp://www.crim.ox.ac.uk/Social%20Network%20Analysis%20Conference%202005/Conference%20Information.htm.

Date accessed: 25-02-2008

Page 6: Intro To Power Laws (March 2008)

66

McPhee’s Double Jeopardy

Zipf’s Law

Pareto Principle – seen in many forms:

The Law of the Vital Few, the Principle of Factor Sparsity

The 80-20 Rule

e.g. “20% of the population controls 80% of the wealth”, “you need money to

make money”

Power laws in other areas…

20%80%

Page 7: Intro To Power Laws (March 2008)

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Specific example: McPhee’s Double Jeopardy

The “law” says that the big tend to get bigger and receive more than their fair share

Contributing factors to a brand’s strength are market factors, advertising, word-of-mouth, customer loyalty, etc.

e.g. a brand with strong distribution channels and high visibility is likely to gain more than its fair share of users simply because it is the most easily available and ‘obvious’ (or only) choice

Mmmm, which brand should I

buy!?

Size begets size…and ”the rich get richer”…

Power laws in other areas…

Page 8: Intro To Power Laws (March 2008)

88

McPhee’s Double Jeopardy…

Penetration (usage) vs. frequency of purchase (UK newspaper market)

Power laws in other areas…

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Usage of brandFrequency of purchase

So we can see that big brands are used more often…

…and, to some extent, add to their own “momentum”

Page 9: Intro To Power Laws (March 2008)

Some Ideas/Brands Have a Kind of Gravity

Page 10: Intro To Power Laws (March 2008)

1010

Some ideas have a kind of gravity…

Worldwide percentage of adherents by belief system (mid-2005)*:

*Source Encyclopaedia Britannica Onlinehttp://www.britannica.com/eb/article-9432620/Worldwide-Adherents-of-All-Religions-Mid-2005Accessed 25-02-2008

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Page 11: Intro To Power Laws (March 2008)

1111

Guild sizes in World of Warcraft* (base = over 10 million subscribers worldwide):

*Source Life With Alacrityhttp://www.lifewithalacrity.com/2005/08/dunbar_world_of.html Accessed 26-02-2008

Some ideas have a kind of gravity…

Page 12: Intro To Power Laws (March 2008)

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Links to blogs* (based on top 100 most linked to blogs on )

*Source kottke.orghttp://www.kottke.org/03/02/weblogs-and-power-laws

Date accessed: 25-02-2008

Curve fit: R2 = 0.9918

Some ideas have a kind of gravity…

Page 13: Intro To Power Laws (March 2008)

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Some ideas have a kind of gravity…

Top 25 Global Market Research Organisations (2006)*:

Revenue (US$)

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500,000,000

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*Source Marketing News via the AMA website

Page 14: Intro To Power Laws (March 2008)

1414

Power laws apply at all levels… (1)

Metabolic rates of mammals and birds*:

*Source Dr. Geoffrey West, LANL (KITP Immune System Workshop 11-19-03) Scaling Laws in Biology: Growth, Mortality, Cancer and Sleep

Page 15: Intro To Power Laws (March 2008)

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Power laws apply at all levels… (2)

Other biological processes closely follow the scaling of body mass:

*Source Brown, J.H., et. al. (2002) The Fractal Nature of Nature. Phil. R. Soc. Lond. B 357, 619-626

Page 16: Intro To Power Laws (March 2008)

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k = the scaling exponent

It’s the number we need to identify in order to identify a power law curve

A few example exponents*:

2.8 = magnitude of earthquakes

2.14 = diameter of moon craters

2.0 = people killed in terrorist attacks

1.1 = net worth of Americans

0.8 = intensity of wars

It is worth noting that these exponents should be taken with a pinch of salt…

…as settling on a 100% accurate exponent can be challenging

The technical bits…

f(x) = axk + o(xk)

*Source The Black Swan (2007)Author: Nassim Nicholas TalebPublished by the Penguin Group

Page 17: Intro To Power Laws (March 2008)

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Log-log

By taking the log-log of the curve…

…we get a linear function with slope k

How do we identify power laws?

By inspection

We rank share metrics

log (f(x)) = k log x + log a

Slope = k

Page 18: Intro To Power Laws (March 2008)

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When do they occur?

It’s difficult to say for sure…

Stable/developed markets?

Do they occur in markets that have had time to stabilise and for a structure to form?

Local minima / maxima?

Do they occur at a temporarily stable point in the market?

Before/at/around phase transitions?

Before, during or after a market structure changes?

Page 19: Intro To Power Laws (March 2008)

1919

Areas where power laws may be useful…

We don’t know where they might be useful yet… but with understanding comes power

In markets that display a power law, perhaps we can use them to answer:

1. What kind of momentum does my brand need to break into a market (or should we be entering it at all)?

2. What strength (or lack thereof) does my current brand size lend me?

3. What kind of market share can I expect based on my position in the market?

The reality is that everything is still speculative at this stage…

…but the new insight such concepts bring is incredibly exciting!

Page 20: Intro To Power Laws (March 2008)

Thank you!


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