In this incredibly interesting episode, we get to chat with Albert-Laszlo Barabasi, a Physicist and Data Scientist in Network Theory. Why does hard work not always measure up to success? We out-perform expectations to go...
In this incredibly interesting episode, we get to chat with Albert-Laszlo Barabasi, a Physicist and Data Scientist in Network Theory. Why does hard work not always measure up to success? We out-perform expectations to go the extra mile but somehow always finish a mile short of where we want to be. For too long the link between performance and success has remained a mystery. Now, Albert has used raw data and historic case studies to uncover the unspoken rules behind success so that we can leverage them to our advantage. This is definitely an episode you’ll want to revisit.
To find out more about Albert-Laszlo Barabasi and his work, you can easily find him on Google or visit www.Barabasi.com
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Albert-László Barabási is a network scientist, fascinated with a wide range of topics, from unveiling the structure of the brain to treating diseases using network medicine, from the emergence of success in art to how does science really works. His work has helped unveil the hidden order behind various complex systems using the quantitative tools of network science, a research field that he pioneered, and lead to the discovery of scale-free networks, helping explain the emergence of many natural, technological and social networks.