Trend mining and visualisation in social networks

Nohuddin Puteri Nor Ellyza, Wataru Sunayama, Rob Christley, Frans Coenen, Christian Setzkorn

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

A framework, the IGCV (Identification, Grouping, Clustering and Visualisation) framework, is described to support the temporal analysis of social network data. More specifically the identification and visualisation of "traffic movement" of patterns in such networks, and how such patterns change over time. A full description of the operation of IGCV is presented, together with an evaluation of its operation using a cattle movement network.

Original languageEnglish
Title of host publicationRes. and Dev. in Intelligent Syst. XXVIII: Incorporating Applications and Innovations in Intel. Sys. XIX - AI 2011, 31st SGAI Int. Conf. on Innovative Techniques and Applications of Artificial Intel.
Pages269-282
Number of pages14
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event31st SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, AI 2011 - Cambridge, United Kingdom
Duration: 13 Dec 201115 Dec 2011

Other

Other31st SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, AI 2011
CountryUnited Kingdom
CityCambridge
Period13/12/1115/12/11

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ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems

Cite this

Puteri Nor Ellyza, N., Sunayama, W., Christley, R., Coenen, F., & Setzkorn, C. (2011). Trend mining and visualisation in social networks. In Res. and Dev. in Intelligent Syst. XXVIII: Incorporating Applications and Innovations in Intel. Sys. XIX - AI 2011, 31st SGAI Int. Conf. on Innovative Techniques and Applications of Artificial Intel. (pp. 269-282) https://doi.org/10.1007/978-1-4471-2318-7-21

Trend mining and visualisation in social networks. / Puteri Nor Ellyza, Nohuddin; Sunayama, Wataru; Christley, Rob; Coenen, Frans; Setzkorn, Christian.

Res. and Dev. in Intelligent Syst. XXVIII: Incorporating Applications and Innovations in Intel. Sys. XIX - AI 2011, 31st SGAI Int. Conf. on Innovative Techniques and Applications of Artificial Intel.. 2011. p. 269-282.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Puteri Nor Ellyza, N, Sunayama, W, Christley, R, Coenen, F & Setzkorn, C 2011, Trend mining and visualisation in social networks. in Res. and Dev. in Intelligent Syst. XXVIII: Incorporating Applications and Innovations in Intel. Sys. XIX - AI 2011, 31st SGAI Int. Conf. on Innovative Techniques and Applications of Artificial Intel.. pp. 269-282, 31st SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, AI 2011, Cambridge, United Kingdom, 13/12/11. https://doi.org/10.1007/978-1-4471-2318-7-21
Puteri Nor Ellyza N, Sunayama W, Christley R, Coenen F, Setzkorn C. Trend mining and visualisation in social networks. In Res. and Dev. in Intelligent Syst. XXVIII: Incorporating Applications and Innovations in Intel. Sys. XIX - AI 2011, 31st SGAI Int. Conf. on Innovative Techniques and Applications of Artificial Intel.. 2011. p. 269-282 https://doi.org/10.1007/978-1-4471-2318-7-21
Puteri Nor Ellyza, Nohuddin ; Sunayama, Wataru ; Christley, Rob ; Coenen, Frans ; Setzkorn, Christian. / Trend mining and visualisation in social networks. Res. and Dev. in Intelligent Syst. XXVIII: Incorporating Applications and Innovations in Intel. Sys. XIX - AI 2011, 31st SGAI Int. Conf. on Innovative Techniques and Applications of Artificial Intel.. 2011. pp. 269-282
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