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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| File | |
| Title ( eng ) |
Community Graph Sequence with Sequence Data of Network Structured Data
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| Creator |
Yamaguchi Takehiro
Niimi Ayahiko
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| Source Title |
5th International Workshop on Computational Intelligence & Applications Proceedings : IWCIA 2009
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| 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.
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| NDC |
Technology. Engineering [ 500 ]
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| Language |
eng
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| Resource Type | conference paper |
| Publisher |
IEEE SMC Hiroshima Chapter
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| Date of Issued | 2009-11 |
| Rights |
(c) Copyright by IEEE SMC Hiroshima Chapter.
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| Publish Type | Version of Record |
| Access Rights | open access |
| Source Identifier |
[ISSN] 1883-3977
[URI] http://www.hil.hiroshima-u.ac.jp/iwcia/2009/
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