Presentation 2012-06-21
Dynamic graph-drawing for large scale streaming data with HTML5
Tatsushi MATSUBAYASHI, KO Fujimura, TAKAHIDE Hoshide, Kyosuke NISHIDA,
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Abstract(in English) We propose an interactive and real-time dynamic graph drawing system for visualizing the dynamics of streaming data. Our system achieves high performance in terms of the convergence speed of graphing and accumulated squared error, an important measure for dynamic graph drawing, by introducing the new fast P3NM (Particle-Particle Particle-Near Mesh) algorithm and sequential barycenter merging method (used to add new nodes). The system is implemented as HTML5 using Web Workers and WebCL and executed on web-browsers.
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Keyword(in English) Graph-drawing / Japan Earthquakes / Twitter / HTML5 / WebCL / Web Workers
Paper # AI2012-1
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Committee AI
Conference Date 2012/6/14(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Dynamic graph-drawing for large scale streaming data with HTML5
Sub Title (in English)
Keyword(1) Graph-drawing
Keyword(2) Japan Earthquakes
Keyword(3) Twitter
Keyword(4) HTML5
Keyword(5) WebCL
Keyword(6) Web Workers
1st Author's Name Tatsushi MATSUBAYASHI
1st Author's Affiliation NTT Cyber Solutions laboratories, NTT Corporation()
2nd Author's Name KO Fujimura
2nd Author's Affiliation School of Social Information Studies, Otuma Woman's University:NTT Cyber Solutions laboratories, NTT Corporation
3rd Author's Name TAKAHIDE Hoshide
3rd Author's Affiliation NTT Cyber Solutions laboratories, NTT Corporation
4th Author's Name Kyosuke NISHIDA
4th Author's Affiliation NTT Cyber Solutions laboratories, NTT Corporation
Date 2012-06-21
Paper # AI2012-1
Volume (vol) vol.112
Number (no) 94
Page pp.pp.-
#Pages 6
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