Networks as predictive tools

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Networks play a key role when there is no objective way to determine performance, claims Barabasi in his new book called: “The Formula: The Universal Laws of Success.” Barabasi examined the career paths of scientists and artists both successful and less successful ones by tracing their networks.  While performance is about each individual, their success is about the people they connect to, therefore for Barabasi, success is a collective measure.

However appealing this research may be I resist the predictive character the author implies. I’d love to read the book eventually, but still, this bothers me. Networks are the very representation of complexity and it is inconsistent to consider them as normative tools where quantitative/statistical data can lead to predetermined results. Networks are all about emergence; thus the inability to predict how and when they will evolve. Sure, sometimes it could be that some patterns reappear, but just like the author says, networks are bigger than us or our ability to control them.

I also fail to see the relevance of the term success in this context. It looks so arbitrary and shallow. As much as I would love to see some professionals’ networks and the way they penetrate society, I’d rather the research focused on their ability to change the world for the better. If success is a collective measure, then it should be evaluated in regard to α collective benefit.

 

For more on this book and image, click here

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