<p> As our understanding of complex social, economic, and technological systems improves, it is increasingly apparent that a full account of a system's macroscopic level properties requires us to carefully explore the structure of local, pairwise interactions that take place at the microscopic level. Over the past two decades, networks have emerged as the <i>de facto</i> representation of such systems, leading to the genesis of the interdisciplinary field of <i> network science.</i> During this same period, we have witnessed an explosion of participation and consumption of social media, advertising, and e-commerce on the internet; an ecosystem that is the embodiment of and whose success is fundamentally coupled to the use and exploitation of complex networks. <i>What are the processes and mechanisms responsible for shaping these networks? Do these processes posses any inherent fairness? How can these structures be exploited for the benefit of strategic actors?</i> In this dissertation, I explore these questions and present analytical results couched in a theory of strategic decision making — <i>algorithmic game theory.</i> (Abstract shortened by ProQuest.)</p>
| Identifer | oai:union.ndltd.org:PROQUEST/oai:pqdtoai.proquest.com:10124420 |
| Date | 14 June 2016 |
| Creators | Johnson, Samuel David |
| Publisher | University of California, Davis |
| Source Sets | ProQuest.com |
| Language | English |
| Detected Language | English |
| Type | thesis |
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