Josić, Krešimir2018-03-122018-03-12December 22017-12December 2http://hdl.handle.net/10657/2872We investigate how the network topology of social networks impacts decision making. First we look at sequential models of decision making with feedforward network toplogies. We see how rational agents incorporate knowledge of the network topology in order to make an optimal estimates of an unknown parameter. We give a condition for making this optimal estimate in terms of the row space of a matrix which encodes the network topology. We then show what this condition means for infinitely large networks. Then we extend a model of evidence accumulation for a two-alternative task to general networks where agents are allowed to communicate decisions. We detail the process rational agents must undergo and give detailed computations of the process for basic network structures.application/pdfengThe author of this work is the copyright owner. UH Libraries and the Texas Digital Library have their permission to store and provide access to this work. Further transmission, reproduction, or presentation of this work is prohibited except with permission of the author(s).Social networksDecision-makingOptimal estimationRational agents2018-03-12Thesisborn digital