Data mining: concepts and techniques
Data mining: concepts and techniques
Mining newsgroups using networks arising from social behavior
WWW '03 Proceedings of the 12th international conference on World Wide Web
Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management
Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management
Collaborative Networks as Determinants of Knowledge Diffusion Patterns
Management Science
Structure and evolution of online social networks
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Visual analysis of network centralities
APVis '06 Proceedings of the 2006 Asia-Pacific Symposium on Information Visualisation - Volume 60
Wikinomics: How Mass Collaboration Changes Everything
Wikinomics: How Mass Collaboration Changes Everything
Measurement and analysis of online social networks
Proceedings of the 7th ACM SIGCOMM conference on Internet measurement
POLYPHONET: An advanced social network extraction system from the Web
Web Semantics: Science, Services and Agents on the World Wide Web
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Contemporary organisations incorporate large amount of invisible networks between their employees. The structure of such networks impacts the information fusion within the organisation. Taking into account the influence of such network structures in predictive modeling will be beneficial for the quality of organisational strategic planning. Network mining methods (the social network analysis of large heterogeneous data sets) can extract information about the structure of such networks and the strategic positioning of each individual from various interaction data. We propose to integrate the output of network mining into the predictive modeling cycle in order to depict these influences. This paper demonstrates such approach by incorporating network centrality measures of actor closeness and actor betweeness in CART predictive modeling cycle. It presents a proof-of-concept application of this integrated approach to the case study of a contemporary university, which resembles some similarity with corporate organisations. The study utilises a data set about academic research activities collected over five years. The results of the study support the hypothesis that information about the network structures in a data set (whose impact is included through the centrality measures) can improve the accuracy of predictive analysis.