Multi-view clustering for mining heterogeneous social network data

DSpace/Manakin Repository

Show simple item record

dc.contributor.author Greene, Derek
dc.contributor.author Cunningham, Pádraig
dc.date.accessioned 2010-03-29T14:15:08Z
dc.date.available 2010-03-29T14:15:08Z
dc.date.issued 2009-03
dc.identifier.uri http://hdl.handle.net/10197/1891
dc.description Paper presented at the Workshop on Information Retrieval over Social Networks, 31st European Conference on Information Retrieval (ECIR'09), Toulouse, France, April 6-9, 2009 en
dc.description.abstract Uncovering community structure is a core challenge in social network analysis. This is a significant challenge for large networks where there is a single type of relation in the network (e.g. friend or knows). In practice there may be other types of relation, for instance demographic or geographic information, that also reveal network structure. Uncovering structure in such multi-relational networks presents a greater challenge due to the difficulty of integrating information from different, often discordant views. In this paper we describe a system for performing cluster analysis on heterogeneous multi-view data, and present an analysis of the research themes in a bibliographic literature network, based on the integration of both co-citation links and text similarity relationships between papers in the network. en
dc.description.sponsorship Science Foundation Ireland en
dc.description.uri Conference details en
dc.description.uri http://ecir09.irit.fr/access.php en
dc.format.extent 346075 bytes
dc.format.mimetype application/pdf
dc.language.iso en en
dc.subject Social network analysis en
dc.subject Machine learning en
dc.subject Bibliometrics en
dc.subject.lcsh Social networks en
dc.subject.lcsh Machine learning en
dc.subject.lcsh Cluster analysis en
dc.subject.lcsh Bibliometrics en
dc.title Multi-view clustering for mining heterogeneous social network data en
dc.type Conference Publication en
dc.internal.availability Full text available en
dc.status Not peer reviewed en
dc.neeo.contributor Greene|Derek|aut| en
dc.neeo.contributor Cunningham|Pádraig|aut| en


Files in this item

This item appears in the following Collection(s)

Show simple item record

This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.

If you are a publisher or author and have copyright concerns for any item, please email research.repository@ucd.ie and the item will be withdrawn immediately. The author or person responsible for depositing the article will be contacted within one business day.

Search Research Repository


Advanced Search

Browse