Quantifying the Evolution of Success with Network and Data Science Tools
Quantifying the Evolution of Success with Network and Data Science Tools Mil´anJanosov Department of Network and Data Science Central European University Principal supervisor: Prof. Federico Battiston External supervisor: Prof. Roberta Sinatra Associate supervisor: Prof. Gerardo Iniguez˜ A Dissertation Submitted in fulfillment of the requirements for the Degree of Doctor of Philosophy in Network Science CEU eTD Collection 2020 Milan´ Janosov: Quantifying the Evolution of Success with Network and Data Science CEU eTD Collection Tools, c 2020 All rights reserved. I Milan´ Janosov certify that I am the author of the work Quantifying the Evo- lution of Success with Network and Data Science Tools. I certify that this is solely my original work, other than where I have clearly indicated, in this declaration and in the thesis, the contributions of others. The thesis contains no materials accepted for any other degree in any other institution. The copyright of this work rests with its author. Quotation from it is permitted, provided that full acknowledgment is made. This work may not be reproduced without my prior written consent. Statement of inclusion of joint work I confirm that Chapter 3 is based on a paper, titled ”Success and luck in creative careers”, accepted for publication by the time of my thesis defense in EPJ Data Science, which was written in collaboration with Federico Battiston and Roberta Sinatra. On the one hand, the idea of using her previously published impact decomposition method to quantify the effect was conceived by Roberta Sinatra, where I relied on the methods developed by her. On the other hand, I proposed the idea of relating the temporal network properties to the evolution.
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