THEMATIC PATTERNS IN GEOREFERENCED TWEETS THROUGH SPACE-TIME VISUAL ANALYTICS

被引：76

作者：

Andrienko, Gennady

Andrienko, Natalia

Bosch, Harald ^{[1
]}

Ertl, Thomas ^{[1
,2
,3
]}

Fuchs, Georg

Jankowski, Piotr ^{[4
]}

Thom, Dennis ^{[1
]}

机构：

[1] Univ Stuttgart, Stuttgart, Germany

[2] Univ Stuttgart VISUS, Visualizat & Interact Syst Inst VIS, Stuttgart, Germany

[3] Univ Stuttgart VISUS, Visualizat Res Ctr, Stuttgart, Germany

[4] San Diego State Univ, San Diego, CA 92182 USA

来源：

COMPUTING IN SCIENCE & ENGINEERING | 2013年 / 15卷 / 03期

关键词：

georeferencing; scientific computing; visual analytics;

D O I：

10.1109/MCSE.2013.70

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

An exploratory study of the potential of georeferenced Twitter data (using tweets from Seattle-area residents over a two-month period) extracts knowledge about people's everyday life. © 1999-2011 IEEE.

引用

页码：72 / +

页数：11

共 13 条

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[2]

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[3]

Andrienko G., 2013, IEEE T VISU IN PRESS, V19

[4] Spatial Generalization and Aggregation of Massive Movement Data [J].

Andrienko, Natalia ;

Andrienko, Gennady .

IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2011, 17 (02) :205-219

[5]

[Anonymous], 2011, P ACL

[6]

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[7]

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[8]

Java A., 2007, Proceedings of the 9th WebKDD and 1st SNA-KDD Workshop on Web Mining and Social Network Analysis, P56

[9]

Liu Xiaohua, 2011, ACL HLT 2011 P 49 AN, P359

[10]

Saif H., 2012, P MAK SENS MICR MSM2, V838

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