Producing a unified graph representation from multiple social network views

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Title: Producing a unified graph representation from multiple social network views
Authors: Greene, Derek
Cunningham, Pádraig
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Date: 2-May-2013
Abstract: In many social networks, several different link relations will exist between the same set of users. Additionally, attribute or textual information will be associated with those users, such as demographic details or user-generated content. For many data analysis tasks, such as community finding and data visualisation, the provision of multiple heterogeneous types of user data makes the analysis process more complex. We propose an unsupervised method for integrating multiple data views to produce a single unified graph representation, based on the combination of the k-nearest neighbour sets for users derived from each view. These views can be either relationbased or feature-based. The proposed method is evaluated on a number of annotated multi-view Twitter datasets, where it is shown to support the discovery of the underlying community structure in the data.
Type of material: Conference Publication
Publisher: Association for Computing Machinery
Copyright (published version): ACM, 2013
Keywords: Data integrationSocial network analysisSocial media
DOI: 10.1145/2464464.2464471
Language: en
Status of Item: Not peer reviewed
Is part of: WebSci '13: Proceedings of the 5th Annual ACM Web Science Conference
Conference Details: 5th Annual ACM Web Science Conference (WebSci'13), Paris, May 2-4th, 2013
Appears in Collections:Computer Science Research Collection

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