Trend mining in social networks: from trend identification to visualization

A four‐stage social network trend mining framework, the Identification, Grouping, Clustering and Visualization framework, is described. The framework extracts trends from social network data and then applies a sequence of techniques (‘tools’) to this data to facilitate interpretation of the identifi...

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Bibliographic Details
Published in:Expert systems 2014-11, Vol.31 (5), p.457-468
Main Authors: Nohuddin, Puteri N. E., Sunayama, Wataru, Christley, Rob, Coenen, Frans, Setzkorn, Christian
Format: Article
Language:English
Subjects:
Analysis
Clustering
Expert systems
Migration
Mining
Networks
social network data
Social networks
Studies
trend mining
Trends
Visualization
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Description
Summary:A four‐stage social network trend mining framework, the Identification, Grouping, Clustering and Visualization framework, is described. The framework extracts trends from social network data and then applies a sequence of techniques (‘tools’) to this data to facilitate interpretation of the identified trends. Of particular note is the visualization of trend migrations (changes) that feature within time‐stamped network data. The framework is illustrated using a sequence of four social networks extracted from the Cattle Tracing System in operation in Great Britain, although it could equally well be applied to other forms of temporal data. The presented analysis of the Identification, Grouping, Clustering and Visualization framework indicates advantages, with respect to network trend mining, that can be gained, especially when the framework is applied to real data.
ISSN:0266-4720
1468-0394
DOI:10.1111/exsy.12024