Network Analytics ER Model - Towards a Conceptual View of Network Analytics

dc.contributor.authorWang, Qing (Ms)
dc.date.accessioned2015-12-10T23:24:18Z
dc.date.issued2014
dc.date.updated2015-12-10T10:45:27Z
dc.description.abstractThis paper proposes a conceptual modelling paradigm for network analysis applications, called the Network Analytics ER model (NAER). Not only data requirements but also query requirements are captured by the conceptual description of network analysis applications. This unified analytical framework allows us to flexibly build a number of topology schemas on the basis of the underlying core schema, together with a collection of query topics that describe topological results of interest. In doing so, we can alleviate many issues in network analysis, such as performance, semantic integrity and dynamics of analysis.
dc.identifier.issn0302-9743
dc.identifier.urihttp://hdl.handle.net/1885/67127
dc.publisherSpringer
dc.rightshttps://resource-cms.springernature.com/springer-cms/rest/v1/content/15433008/data/Contract_Book_Contributor_Consent_to_Publish_LNCS_SIP..." Author may self-archive an author-created version of his/her Contribution on his/her own website and/or the repository of Author’s department or faculty. Author may also deposit this version on his/her funder’s or funder’s designated repository at the funder’s request or as a result of a legal obligation." from the publisher site (as at 24/04/2018)
dc.sourceLecture Notes in Computer Science (LNCS)
dc.titleNetwork Analytics ER Model - Towards a Conceptual View of Network Analytics
dc.typeJournal article
dcterms.accessRightsOpen Access
local.bibliographicCitation.lastpage171
local.bibliographicCitation.startpage158
local.contributor.affiliationWang, Qing (Ms), College of Engineering and Computer Science, ANU
local.contributor.authoruidWang, Qing (Ms), u5170295
local.description.notesImported from ARIES
local.identifier.absfor080603 - Conceptual Modelling
local.identifier.absseo970108 - Expanding Knowledge in the Information and Computing Sciences
local.identifier.ariespublicationu4334215xPUB1402
local.identifier.citationvolume8824
local.identifier.doi10.1007/978-3-319-12206-9_13
local.identifier.scopusID2-s2.0-84910613984
local.type.statusAccepted Version

Downloads

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
01_Wang_Network Analytics_2014.pdf
Size:
954.12 KB
Format:
Adobe Portable Document Format