Mobility and interaction patterns in social networks

Llorente Pinto, Alejandro

Publication:
Mobility and interaction patterns in social networks

dc.contributor.advisor	Moro, Esteban
dc.contributor.author	Llorente Pinto, Alejandro
dc.contributor.departamento	UC3M. Departamento de Matemáticas	es
dc.date.accessioned	2016-12-15T15:37:53Z
dc.date.available	2016-12-15T15:37:53Z
dc.date.issued	2016-07
dc.date.submitted	2016-07-21
dc.description.abstract	The question of analyzing the predictability of human behavior has been widely studied in literature, to unveil how individuals move, how they can be mobilized and, more philosophically, to understand to what extent our decisions are random or whether we are free to choose. As a consequence of humans relate to each other, we also tend to live in groups at different hierarchies in a social way so it is interesting to analyze how individual 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 we can make a purchase, predicting where the next purchase will happen is not accurately possible to do by only observing the past. The next question is to study how individual decisions affect emergent phenomena such as the economy or information diffusion across a country. We analyze the contents, temporal and mobility patterns extracted from users’ social media publications to build a profile of the geographical regions that allow to predict the unemployment rate. Finally, we also use a mobile phone call dataset to test whether the dynamics at the urban level, how people create and destroy links within a city, affect the inter-urban diffusion of diseases, virus or rumors. Our results suggest that inter-regional structure is robust and does not vary significantly on time so diffusion processes can be well modeled in terms of static properties of the inter-urban network.	es
dc.description.degree	Programa Oficial de Doctorado en Ingeniería Matemática	es
dc.description.responsability	Presidente: Javier Borge Holthoefer.- Secretario: Rubén Cuevas Rumín.- Vocal: Josep Perelló Palou	es
dc.format.mimetype	application/pdf
dc.identifier.uri	https://hdl.handle.net/10016/23955
dc.language.iso	eng	es
dc.rights	Atribución-NoComercial-SinDerivadas 3.0 España	*
dc.rights.accessRights	open access	es
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/es/	*
dc.subject.eciencia	Informática	es
dc.subject.eciencia	Matemáticas	es
dc.subject.other	Social networks	es
dc.subject.other	Behavior models	es
dc.subject.other	Markov models	es
dc.subject.other	Geo-tagged	es
dc.title	Mobility and interaction patterns in social networks	es
dc.type	doctoral thesis	*
dspace.entity.type	Publication