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...
- 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/
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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 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 Social network Information spreading Coverage Voronoi Graph theory |
topic |
Facultad de Ingeniería Maestría en Ingeniería con Énfasis en Ingeniería Electrónica 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 |
_version_ |
1812095057349574656 |