APPRAISING DISCREPANCIES AND SIMILARITIES IN SEMANTIC NETWORKS USING CONCEPT-CENTERED SUBNETWORKS

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dc.contributor.authorMedeuov, Darkhan
dc.contributor.authorRoth, Camille
dc.contributor.authorPuzyreva, Kseniia
dc.contributor.authorBasov, Nikita
dc.date.accessioned2021-12-28T05:50:32Z
dc.date.available2021-12-28T05:50:32Z
dc.date.issued2021-09-03
dc.description.abstractThis article proposes an approach to compare semantic networks using conceptcentered sub-networks. A concept-centered sub-network is defned as an induced network whose vertex set consists of the given concept (ego) and all its adjacent concepts (alters) and whose link set consists of all the links between the ego and alters (including alter-alter links). By looking at the vertex and link overlap indices of concept-centered networks we infer semantic similarity of the underlying concepts. We cross-evaluate the semantic similarity by close-reading textual contexts from which networks are derived. We illustrate the approach on written and interview texts from an ethnographic study of food management practice in England.en_US
dc.identifier.citationMedeuov, D., Roth, C., Puzyreva, K., & Basov, N. (2021). Appraising discrepancies and similarities in semantic networks using concept-centered subnetworks. Applied Network Science, 6(1). https://doi.org/10.1007/s41109-021-00408-0en_US
dc.identifier.urihttp://nur.nu.edu.kz/handle/123456789/5971
dc.language.isoenen_US
dc.publisherApplied Network Scienceen_US
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/us/*
dc.subjectType of access: Open Accessen_US
dc.subjectSemantic networksen_US
dc.subjectFlood managementen_US
dc.subjectComputational text analysisen_US
dc.titleAPPRAISING DISCREPANCIES AND SIMILARITIES IN SEMANTIC NETWORKS USING CONCEPT-CENTERED SUBNETWORKSen_US
dc.typeArticleen_US
workflow.import.sourcescience

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