RT Dissertation/Thesis
T1 Mobility and interaction patterns in social networks
A1 Llorente Pinto, Alejandro
AB The question of analyzing the predictability of human behavior has been widely studiedin literature, to unveil how individuals move, how they can be mobilized and, morephilosophically, to understand to what extent our decisions are random or whether weare free to choose. As a consequence of humans relate to each other, we also tend tolive in groups at different hierarchies in a social way so it is interesting to analyze howindividual features and choices affect the global structure of a society.In this work, we explore the limits of human predictability in terms of shopping behavior,observing that, even when we are constrained to a limited set of possible places where wecan make a purchase, predicting where the next purchase will happen is not accuratelypossible to do by only observing the past. The next question is to study how individualdecisions affect emergent phenomena such as the economy or information diffusion across a country. We analyze the contents, temporal and mobility patterns extracted fromusers’ social media publications to build a profile of the geographical regions that allowto predict the unemployment rate. Finally, we also use a mobile phone call datasetto test whether the dynamics at the urban level, how people create and destroy linkswithin a city, affect the inter-urban diffusion of diseases, virus or rumors. Our resultssuggest that inter-regional structure is robust and does not vary significantly on time sodiffusion processes can be well modeled in terms of static properties of the inter-urbannetwork.
YR 2016
FD 2016-07
LK https://hdl.handle.net/10016/23955
UL https://hdl.handle.net/10016/23955
LA eng
DS e-Archivo
RD 29 may. 2024