Togetherness: an algorithmic approach to network integration

Show simple item record

dc.contributor.author Moskvina, A en
dc.contributor.author Liu, Jiamou en
dc.contributor.editor Kumar, R en
dc.contributor.editor Caverkee, J en
dc.contributor.editor Tong, H en
dc.coverage.spatial San Francisco en
dc.date.accessioned 2017-04-19T23:31:05Z en
dc.date.issued 2016-11-24 en
dc.identifier.citation The 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, San Francisco, 18 Aug 2016 - 21 Aug 2016. Editors: Kumar R, Caverkee J, Tong H . Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016. Institute of Electrical and Electronics Engineers. 223-230. 24 Nov 2016 en
dc.identifier.isbn 9781509028467 en
dc.identifier.uri http://hdl.handle.net/2292/32598 en
dc.description.abstract Network integration refers to a process of building links between two networks so that they dissolve into a single unified network. Togetherness measures the proximity of these two networks as they integrate; this notion is fundamental to social networks as it is relevant to important concepts such as trust, coherence and solidarity. In this paper, we study the algorithmic nature of network integration and formally introduce three notions of togetherness. We analyze the corresponding computational problems of network integration: Given two networks and a desired level of togetherness, build links between members of these networks so that the overall network meets the togetherness criterion. We analyze optimal solutions to this problem, describe several heuristics and compare their performance through experimental analysis. en
dc.description.uri http://asonam.cpsc.ucalgary.ca/2016/ en
dc.publisher Institute of Electrical and Electronics Engineers en
dc.relation.ispartof The 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining en
dc.relation.ispartofseries Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016 en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. en
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm en
dc.title Togetherness: an algorithmic approach to network integration en
dc.type Conference Item en
dc.identifier.doi 10.1109/ASONAM.2016.7752239 en
pubs.begin-page 223 en
dc.rights.holder Copyright: Institute of Electrical and Electronics Engineers en
pubs.end-page 230 en
pubs.finish-date 2016-08-21 en
pubs.publication-status Published en
pubs.start-date 2016-08-18 en
dc.rights.accessrights http://purl.org/eprint/accessRights/RestrictedAccess en
pubs.subtype Proceedings en
pubs.elements-id 605522 en
pubs.org-id Science en
pubs.org-id School of Computer Science en
pubs.record-created-at-source-date 2017-01-15 en


Files in this item

There are no files associated with this item.

Find Full text

This item appears in the following Collection(s)

Show simple item record

Share

Search ResearchSpace


Browse

Statistics