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Conference Paper: Time scale degree centrality: A time-variant approach to degree centrality measures

TitleTime scale degree centrality: A time-variant approach to degree centrality measures
Authors
Issue Date2011
Citation
Proceedings - 2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011, 2011, p. 520-524 How to Cite?
AbstractIn this paper, we introduce a time-variant approach to degree centrality measure time scale degree centrality (TSDC), which considers both presence and duration of links among actors within a network; whereas, the traditional degree centrality approach regards only the presence or absence of links. We illustrate the difference between traditional and time scale degree centrality measure by applying these two approaches to explore the impact of 'degree' attributes of doctor-patient network that evolves during patient hospitalization period on the hospital length of stay (LOS) both in macroand micro-level. In macro-level, both the traditional and time-scale approaches to degree centrality can explain the relationship between the 'degree' attribute of doctor-patient network and LOS. However, at micro-level or small cluster level, TSDC provides better explanation while traditional degree centrality approach is impotent to explain the relationship between them. © 2011 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/194322

 

DC FieldValueLanguage
dc.contributor.authorUddin, S-
dc.contributor.authorHossain, L-
dc.date.accessioned2014-01-30T03:32:27Z-
dc.date.available2014-01-30T03:32:27Z-
dc.date.issued2011-
dc.identifier.citationProceedings - 2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011, 2011, p. 520-524-
dc.identifier.urihttp://hdl.handle.net/10722/194322-
dc.description.abstractIn this paper, we introduce a time-variant approach to degree centrality measure time scale degree centrality (TSDC), which considers both presence and duration of links among actors within a network; whereas, the traditional degree centrality approach regards only the presence or absence of links. We illustrate the difference between traditional and time scale degree centrality measure by applying these two approaches to explore the impact of 'degree' attributes of doctor-patient network that evolves during patient hospitalization period on the hospital length of stay (LOS) both in macroand micro-level. In macro-level, both the traditional and time-scale approaches to degree centrality can explain the relationship between the 'degree' attribute of doctor-patient network and LOS. However, at micro-level or small cluster level, TSDC provides better explanation while traditional degree centrality approach is impotent to explain the relationship between them. © 2011 IEEE.-
dc.languageeng-
dc.relation.ispartofProceedings - 2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011-
dc.titleTime scale degree centrality: A time-variant approach to degree centrality measures-
dc.typeConference_Paper-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/ASONAM.2011.57-
dc.identifier.scopuseid_2-s2.0-80052696754-
dc.identifier.spage520-
dc.identifier.epage524-

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