Quantifying external information in social network analysis: an application to comparative mythology
| dc.contributor.author | Fumanal Idocin, Javier | |
| dc.contributor.author | Cordón García, Óscar | |
| dc.contributor.author | Pereira Dimuro, Graçaliz | |
| dc.contributor.author | Roldán López de Hierro, Antonio Francisco | |
| dc.contributor.author | Bustince Sola, Humberto | |
| dc.contributor.department | Estadística, Informática y Matemáticas | es_ES |
| dc.contributor.department | Estatistika, Informatika eta Matematika | eu |
| dc.date.accessioned | 2023-09-04T07:24:35Z | |
| dc.date.available | 2023-09-04T07:24:35Z | |
| dc.date.issued | 2023 | |
| dc.date.updated | 2023-09-04T07:11:01Z | |
| dc.description.abstract | Social network analysis is a popular tool to understand the relationships between interacting agents by studying the structural properties of their connections. However, this kind of analysis can miss some of the domain-specific knowledge available in the original information domain and its propagation through the associated network. In this work, we develop an extension of classical social network analysis to incorporate external information from the original source of the network. With this extension we propose a new centrality measure, the semantic value, and a new affinity function, the semantic affinity, that establishes fuzzy-like relationships between the different actors in the network. We also propose a new heuristic algorithm based on the shortest capacity problem to compute this new function. As an illustrative case study, we use the novel proposals to analyze and compare the gods and heroes from three different classical mythologies: 1) Greek; 2) Celtic; and 3) Nordic. We study the relationships of each individual mythology and those of the common structure that is formed when we fuse the three of them. We also compare our results with those obtained using other existing centrality measures and embedding approaches. In addition, we test the proposed measures on a classical social network, the Reuters terror news network, as well as in a Twitter network related to the COVID-19 pandemic. We found that the novel method obtains more meaningful comparisons and results than previous existing approaches in every case. | en |
| dc.description.sponsorship | The work of Javier Fumanal-Idocin and Humberto Bustince was supported by the Project PID2019-108392GB I00 under Grant AEI/10.13039/501100011033. The work of Oscar Cordón was supported by the Government of Spain under Grant MCIN/AEI/10.13039/501100011033/ and CONFIA under Grant PID2021-122916NB-I00, including European Regional Development Funds (ERDF) “FEDER, Una manera de hacer Europa.” The work of Antonio-Francisco Roldán López-de-Hierro was supported in part by the Project PID2020-119478GB-I00 and in part by the FEDER Project under Grant A-FQM-170-UGR20 | en |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.citation | Fumanal-Idocin, J., Cordon, O., Dimuro, G. P., Lopez-de-Hierro, A.-F. R., & Bustince, H. (2023). Quantifying external information in social network analysis: An application to comparative mythology. IEEE Transactions on Cybernetics, 1-0. https://doi.org/10.1109/TCYB.2023.3239555 | en |
| dc.identifier.doi | 10.1109/TCYB.2023.3239555 | |
| dc.identifier.issn | 2168-2267 | |
| dc.identifier.uri | https://academica-e.unavarra.es/handle/2454/46207 | |
| dc.language.iso | eng | en |
| dc.publisher | IEEE | en |
| dc.relation.ispartof | IEEE Transactions on Cybernetics, 1-10 | en |
| dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-108392GB-I00/ES/ | |
| dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-119478GB-I00/ES/ | |
| dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-122916NB-I00/ | |
| dc.relation.publisherversion | https://doi.org/10.1109/TCYB.2023.3239555 | |
| dc.rights | © 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other work. | en |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess | |
| dc.subject | Centrality measuress | en |
| dc.subject | Comparative mythology | en |
| dc.subject | Electronic mail | en |
| dc.subject | Heuristic algorithms | en |
| dc.subject | Mythology | en |
| dc.subject | Network analyzers | en |
| dc.subject | Network architecture | en |
| dc.subject | Semantic value | en |
| dc.subject | Semantics | en |
| dc.subject | Social network analysis | en |
| dc.subject | Social networking (online) | en |
| dc.subject | Standards | en |
| dc.subject | Word embeddings | en |
| dc.title | Quantifying external information in social network analysis: an application to comparative mythology | en |
| dc.type | info:eu-repo/semantics/article | |
| dc.type.version | info:eu-repo/semantics/acceptedVersion | |
| dspace.entity.type | Publication | |
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