Towards an Algorithmic Selection of Spreaders in Twitter

This research empirically studies mechanisms and criteria for selecting spreaders in Twitter. Spreaders are users capable of disseminating information to large portions of the network, whether they are considered in uentials or not. This work is an initial approximation in which the Twitter social n...

Full description

Autores:
Duque Marín, Arturo
Tipo de recurso:
Masters Thesis
Fecha de publicación:
2018
Institución:
Pontificia Universidad Javeriana Cali
Repositorio:
Vitela
Idioma:
spa
OAI Identifier:
oai:vitela.javerianacali.edu.co:11522/739
Acceso en línea:
https://vitela.javerianacali.edu.co/handle/11522/739
Palabra clave:
Facultad de Ingeniería
Maestría en Ingeniería con Énfasis en Ingeniería Electrónica
Twitter
Social network
Information spreading
Coverage
Voronoi
Graph theory
Rights
openAccess
License
https://creativecommons.org/licenses/by-nc/4.0/
id Vitela2_0e06db374d996d2185fd3a3c273ffc44
oai_identifier_str oai:vitela.javerianacali.edu.co:11522/739
network_acronym_str Vitela2
network_name_str Vitela
repository_id_str
spelling Rocha, CamiloDuque Marín, Arturo2023-03-02T01:34:32Z2023-11-24T07:45:32Z2023-02-022023-03-02T01:34:32Z2023-11-24T07:45:32Z2018https://vitela.javerianacali.edu.co/handle/11522/739This research empirically studies mechanisms and criteria for selecting spreaders in Twitter. Spreaders are users capable of disseminating information to large portions of the network, whether they are considered in uentials or not. This work is an initial approximation in which the Twitter social network is represented as a network and the selection mechanisms exploit its structural properties to nd suitable spreaders. Because the selection depends on di erent mechanisms (e.g. algorithmic, manual, and random selection), a comparison of the distinct features they generate, such as cost and coverage, is investigated. The cost of a spreader is assumed proportional to the coverage potential, that is, the larger the coverage potential, the greater the cost. The cost associated with the selection mechanism is the sum of the coverage potentials of all the selected initial spreaders. This work models, simulates and analyzes how di erent structural properties that characterize the nodes of a network shape information spreading in terms of the coverage and the cost of the initial spreaders. Extensive experimentation is carried out using data from the Twitter social network. These experiments illustrate how di erent selection mechanisms help shaping the dynamics of the spreading process, as well as the cost of the spreaders. Certain network metrics provide good insight for cost-e ective spreader selection, meaning that some metrics (node properties) lead to the identi cation of users with good capabilities to spread information. In general, this work identi es conditions under which an algorithmic selection mechanism o ers the best performance in terms of coverage and cost, and network metrics characterize the optimal initial spreaders in the network. The ndings can o er an alternative approach to select spreaders in commercial and advertising campaigns.application/pdfapplication/pdfspaPontificia Universidad JaverianaCaliinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc/4.0/https://creativecommons.org/licenses/by-nc/4.0/http://purl.org/coar/access_right/c_abf2Pontificia Universidad JaverianaVitelaTowards an Algorithmic Selection of Spreaders in TwitterMaestríaMaestría en ingeniería Electronicahttp://purl.org/coar/resource_type/c_bdccinfo:eu-repo/semantics/masterThesisTesis/Trabajo de grado - Monografía - Maestríainfo:eu-repo/semantics/acceptedVersionhttps://purl.org/redcol/resource_type/TMFacultad de IngenieríaMaestría en Ingeniería con Énfasis en Ingeniería ElectrónicaTwitterSocial networkInformation spreadingCoverageVoronoiGraph theory11522/739oai:vitela.javerianacali.edu.co:11522/7392024-06-25 05:12:47.315https://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccessmetadata.onlyhttps://vitela.javerianacali.edu.coRepositorio Vitelavitela.mail@javerianacali.edu.co
dc.title.spa.fl_str_mv Towards an Algorithmic Selection of Spreaders in Twitter
title Towards an Algorithmic Selection of Spreaders in Twitter
spellingShingle Towards an Algorithmic Selection of Spreaders in Twitter
Facultad de Ingeniería
Maestría en Ingeniería con Énfasis en Ingeniería Electrónica
Twitter
Social network
Information spreading
Coverage
Voronoi
Graph theory
title_short Towards an Algorithmic Selection of Spreaders in Twitter
title_full Towards an Algorithmic Selection of Spreaders in Twitter
title_fullStr Towards an Algorithmic Selection of Spreaders in Twitter
title_full_unstemmed Towards an Algorithmic Selection of Spreaders in Twitter
title_sort Towards an Algorithmic Selection of Spreaders in Twitter
dc.creator.fl_str_mv Duque Marín, Arturo
dc.contributor.advisor.spa.fl_str_mv Rocha, Camilo
dc.contributor.author.spa.fl_str_mv Duque Marín, Arturo
dc.subject.proposal.spa.fl_str_mv Facultad de Ingeniería
Maestría en Ingeniería con Énfasis en Ingeniería Electrónica
Twitter
Social network
Information spreading
Coverage
Voronoi
Graph theory
topic Facultad de Ingeniería
Maestría en Ingeniería con Énfasis en Ingeniería Electrónica
Twitter
Social network
Information spreading
Coverage
Voronoi
Graph theory
description This research empirically studies mechanisms and criteria for selecting spreaders in Twitter. Spreaders are users capable of disseminating information to large portions of the network, whether they are considered in uentials or not. This work is an initial approximation in which the Twitter social network is represented as a network and the selection mechanisms exploit its structural properties to nd suitable spreaders. Because the selection depends on di erent mechanisms (e.g. algorithmic, manual, and random selection), a comparison of the distinct features they generate, such as cost and coverage, is investigated. The cost of a spreader is assumed proportional to the coverage potential, that is, the larger the coverage potential, the greater the cost. The cost associated with the selection mechanism is the sum of the coverage potentials of all the selected initial spreaders. This work models, simulates and analyzes how di erent structural properties that characterize the nodes of a network shape information spreading in terms of the coverage and the cost of the initial spreaders. Extensive experimentation is carried out using data from the Twitter social network. These experiments illustrate how di erent selection mechanisms help shaping the dynamics of the spreading process, as well as the cost of the spreaders. Certain network metrics provide good insight for cost-e ective spreader selection, meaning that some metrics (node properties) lead to the identi cation of users with good capabilities to spread information. In general, this work identi es conditions under which an algorithmic selection mechanism o ers the best performance in terms of coverage and cost, and network metrics characterize the optimal initial spreaders in the network. The ndings can o er an alternative approach to select spreaders in commercial and advertising campaigns.
publishDate 2018
dc.date.issued.spa.fl_str_mv 2018
dc.date.accessioned.none.fl_str_mv 2023-03-02T01:34:32Z
2023-11-24T07:45:32Z
dc.date.accessioned.spa.fl_str_mv 2023-02-02
dc.date.available.none.fl_str_mv 2023-03-02T01:34:32Z
2023-11-24T07:45:32Z
dc.type.spa.fl_str_mv Maestría
Maestría en ingeniería Electronica
dc.type.coar.spa.fl_str_mv http://purl.org/coar/resource_type/c_bdcc
dc.type.driver.spa.fl_str_mv info:eu-repo/semantics/masterThesis
dc.type.local.spa.fl_str_mv Tesis/Trabajo de grado - Monografía - Maestría
dc.type.hasversion.spa.fl_str_mv info:eu-repo/semantics/acceptedVersion
dc.type.redcol.spa.fl_str_mv https://purl.org/redcol/resource_type/TM
format http://purl.org/coar/resource_type/c_bdcc
status_str acceptedVersion
dc.identifier.uri.none.fl_str_mv https://vitela.javerianacali.edu.co/handle/11522/739
url https://vitela.javerianacali.edu.co/handle/11522/739
dc.language.iso.spa.fl_str_mv spa
language spa
dc.rights.spa.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.uri.spa.fl_str_mv https://creativecommons.org/licenses/by-nc/4.0/
dc.rights.creativecommons.spa.fl_str_mv https://creativecommons.org/licenses/by-nc/4.0/
dc.rights.accessRights.spa.fl_str_mv http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc/4.0/
http://purl.org/coar/access_right/c_abf2
dc.format.spa.fl_str_mv application/pdf
dc.format.mimetype.spa.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Pontificia Universidad Javeriana
dc.publisher.place.spa.fl_str_mv Cali
dc.source.spa.fl_str_mv Pontificia Universidad Javeriana
Vitela
institution Pontificia Universidad Javeriana Cali
repository.name.fl_str_mv Repositorio Vitela
repository.mail.fl_str_mv vitela.mail@javerianacali.edu.co
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