Social network analysis supports Theory T


This TED talk is one of the best ways of getting into the frame to understand Theory T.
Researcher Nicholas Christakis presents his findings after putting hundreds of thousands of data points, taken over many years, into a giant visualisation and pattern analysis.

happinessclusters

People naturally form networks that look like this (From the TED Talk)

 

Trivepattern_not

People never form networks that look like this (Also from the talk)

The pattern of connections among people confers upon the groups of people different properties. It is the ties between people that makes the whole greater than the sum of its parts. And so it is not just what’s happening to these people — whether they’re losing weight or gaining weight, or becoming rich or becoming poor, or becoming happy or not becoming happy — that affects us; it’s also the actual architecture of the ties around us.

Says Nicholas:

I think we form social networks because the benefits of a connected life outweigh the costs. If I was always violent towards you or gave you misinformation or made you sad or infected you with deadly germs, you would cut the ties to me, and the network would disintegrate. So the spread of good and valuable things is required to sustain and nourish social networks. Similarly, social networks are required for the spread of good and valuable things, like love and kindness and happiness and altruism and ideas. I think, in fact, that if we realized how valuable social networks are, we’d spend a lot more time nourishing them and sustaining them, because I think social networks are fundamentally related to goodness. And what I think the world needs now is more connections.

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