Community Graph Sequence with Sequence Data of Network Structured Data

5th International Workshop on Computational Intelligence & Applications Proceedings : IWCIA 2009 Page 196-201 published_at 2009-11
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Title ( eng )
Community Graph Sequence with Sequence Data of Network Structured Data
Creator
Yamaguchi Takehiro
Niimi Ayahiko
Source Title
5th International Workshop on Computational Intelligence & Applications Proceedings : IWCIA 2009
Start Page 196
End Page 201
Abstract
Recently, there has been increasing interest in data analysis for network structured data. The network structured data is represented the relation between one data and other data by graph structure. There are many network structured data such as social networks, biological networks in the real world. In this study, we will analysis the network structured data that has dynamic relation and complex interact with each data. And, we will approach the problem that is to extract transition pattern from the history of temporal change in their network structured data. Especially, in this paper, we will apply community graph sequences to graph sequences of network structured data that has large-scale and complex changes, and propose the method of extracting transition pattern of network structured data. We used social bookmark data as the data streams of analysis object and verified that social bookmark data is the network structured data that has large-scale and complex change.
NDC
Technology. Engineering [ 500 ]
Language
eng
Resource Type conference paper
Publisher
IEEE SMC Hiroshima Chapter
Date of Issued 2009-11
Rights
(c) Copyright by IEEE SMC Hiroshima Chapter.
Publish Type Version of Record
Access Rights open access
Source Identifier
[ISSN] 1883-3977
[URI] http://www.hil.hiroshima-u.ac.jp/iwcia/2009/