Please use this identifier to cite or link to this item: http://repositorio.inesctec.pt/handle/123456789/5833
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dc.contributor.authorJosé Luís Devezasen
dc.contributor.authorÁlvaro Figueiraen
dc.date.accessioned2018-01-10T10:20:07Z-
dc.date.available2018-01-10T10:20:07Z-
dc.date.issued2013en
dc.identifier.urihttp://repositorio.inesctec.pt/handle/123456789/5833-
dc.identifier.urihttp://dx.doi.org/10.1504/ijwbc.2013.054911en
dc.description.abstractWe analysed the community structure of a network of news clips where relationships were established by the co-reference of entities in pairs of clips. Community detection was applied to a unidimensional version of the news clips network, as well as to a multidimensional version where dimensions were defined based on three different classes of entities: places, people, and dates. The goal was to study the impact on the quality of the identified community structure when using multiple dimensions to model the network. We did a two-fold evaluation, first based on the modularity metric and then based on human input regarding community semantics. We verified that the assessments of the evaluators differed from the results provided by the modularity metric, pointing towards the relevance of the utility and network integration phases in the identification of semantically cohesive groups of news clips. Copyright © 2013 Inderscience Enterprises Ltd.en
dc.languageengen
dc.relation5088en
dc.relation5585en
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.titleThe community structure of a multidimensional network of news clipsen
dc.typearticleen
dc.typePublicationen
Appears in Collections:CRACS - Articles in International Journals
CSIG - Articles in International Journals

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