I-SI: Scalable Architecture for Analyzing Latent Topical-Level Information From Social Media Data

We present a general visual analytics architecture that is designed and implemented to effectively analyze unstructured social media data on a large scale. Pipelined on a high‐performance cluster configuration, MPI processing, and interactive visual analytics interfaces, our architecture, I‐SI, clos...

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Vydáno v:	Computer graphics forum Ročník 31; číslo 3pt4; s. 1275 - 1284
Hlavní autoři:	Wang, X., Dou, W., Ma, Z., Villalobos, J., Chen, Y., Kraft, T., Ribarsky, W.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Oxford, UK Blackwell Publishing Ltd 01.06.2012
Témata:	Analysis Architecture Computer architecture Computer graphics Effectiveness I.3.2 [Computer Graphics]: Graphics Systems-Distributed/network graphics Interactive Mathematical analysis Media Monitoring Precursors Social networks Studies Visual
ISSN:	0167-7055, 1467-8659
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Abstract	We present a general visual analytics architecture that is designed and implemented to effectively analyze unstructured social media data on a large scale. Pipelined on a high‐performance cluster configuration, MPI processing, and interactive visual analytics interfaces, our architecture, I‐SI, closely integrates data‐driven analytical methods and user‐centered visual analytics. It creates a coherent analysis environment for identifying event structures, geographical distributions, and key indicators of emerging events. This environment supports monitoring, analyzing, and responding to latent information extracted from social media. We have applied the I‐SI architecture to collect social media data, analyze the data on a large scale and uncover the latent social phenomena. To demonstrate the efficacy and applicability of I‐SI, we describe several social media use cases in multiple domains that were evaluated by experts. The use cases demonstrate that I‐SI can benefit a range of users by constructing meaningful event structures and identifying precursors to critical events within a rich, evolving set of topics.
AbstractList	We present a general visual analytics architecture that is designed and implemented to effectively analyze unstructured social media data on a large scale. Pipelined on a high‐performance cluster configuration, MPI processing, and interactive visual analytics interfaces, our architecture, I‐SI, closely integrates data‐driven analytical methods and user‐centered visual analytics. It creates a coherent analysis environment for identifying event structures, geographical distributions, and key indicators of emerging events. This environment supports monitoring, analyzing, and responding to latent information extracted from social media. We have applied the I‐SI architecture to collect social media data, analyze the data on a large scale and uncover the latent social phenomena. To demonstrate the efficacy and applicability of I‐SI, we describe several social media use cases in multiple domains that were evaluated by experts. The use cases demonstrate that I‐SI can benefit a range of users by constructing meaningful event structures and identifying precursors to critical events within a rich, evolving set of topics. We present a general visual analytics architecture that is designed and implemented to effectively analyze unstructured social media data on a large scale. Pipelined on a high-performance cluster configuration, MPI processing, and interactive visual analytics interfaces, our architecture, I-SI, closely integrates data-driven analytical methods and user-centered visual analytics. It creates a coherent analysis environment for identifying event structures, geographical distributions, and key indicators of emerging events. This environment supports monitoring, analyzing, and responding to latent information extracted from social media. We have applied the I-SI architecture to collect social media data, analyze the data on a large scale and uncover the latent social phenomena. To demonstrate the efficacy and applicability of I-SI, we describe several social media use cases in multiple domains that were evaluated by experts. The use cases demonstrate that I-SI can benefit a range of users by constructing meaningful event structures and identifying precursors to critical events within a rich, evolving set of topics. [PUBLICATION ABSTRACT] We present a general visual analytics architecture that is designed and implemented to effectively analyze unstructured social media data on a large scale. Pipelined on a high‐performance cluster configuration, MPI processing, and interactive visual analytics interfaces, our architecture, I‐SI , closely integrates data‐driven analytical methods and user‐centered visual analytics. It creates a coherent analysis environment for identifying event structures, geographical distributions, and key indicators of emerging events. This environment supports monitoring, analyzing, and responding to latent information extracted from social media. We have applied the I‐SI architecture to collect social media data, analyze the data on a large scale and uncover the latent social phenomena. To demonstrate the efficacy and applicability of I‐SI, we describe several social media use cases in multiple domains that were evaluated by experts. The use cases demonstrate that I‐SI can benefit a range of users by constructing meaningful event structures and identifying precursors to critical events within a rich, evolving set of topics.
Author	Kraft, T. Dou, W. Chen, Y. Ribarsky, W. Wang, X. Villalobos, J. Ma, Z.
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References	Dork M., Gruen D., Williamson C., Carpendale S.: A visual backchannel for large-scale events. Visualization and Computer Graphics, IEEE Transactions on 16, 6 (nov.dec. 2010), 1129-1138. 4. Slocum T., McMaster R., Kessler F., Howard H.: Thematic Cartography and Visualization. Pearson Prentice, 2005. 6. Wang X., Miller E., Smarick K., Ribarsky W., Chang R.: Investigative visual analysis of global terrorism. Computer Graphics Forum 27, 3 (2008), 919-926. 2 Blei D. M., Ng A. Y., Jordan M. I.: Latent dirichlet allocation. J. Mach. Learn. Res. 3 (Mar. 2003), 993-1022. 4. Mar. 2003; 3 2011 2000 2010 2008; 27 nov.dec. 2010; 16 2007 Oct 5 2011 2006 2005 2004 oct. 2011 Nov 5 2011 e_1_2_10_23_2 e_1_2_10_20_2 e_1_2_10_21_2 e_1_2_10_19_2 e_1_2_10_3_2 e_1_2_10_17_2 e_1_2_10_2_2 e_1_2_10_18_2 e_1_2_10_5_2 e_1_2_10_15_2 e_1_2_10_4_2 e_1_2_10_16_2 e_1_2_10_7_2 e_1_2_10_13_2 Slocum T. (e_1_2_10_26_2) 2005 e_1_2_10_6_2 e_1_2_10_14_2 e_1_2_10_9_2 e_1_2_10_11_2 e_1_2_10_12_2 e_1_2_10_10_2 e_1_2_10_30_2 Chen J. (e_1_2_10_8_2) 2010 Ritter A. (e_1_2_10_22_2) 2010 e_1_2_10_28_2 e_1_2_10_29_2 e_1_2_10_27_2 e_1_2_10_24_2 e_1_2_10_25_2
References_xml	– reference: Dork M., Gruen D., Williamson C., Carpendale S.: A visual backchannel for large-scale events. Visualization and Computer Graphics, IEEE Transactions on 16, 6 (nov.dec. 2010), 1129-1138. 4. – reference: Wang X., Miller E., Smarick K., Ribarsky W., Chang R.: Investigative visual analysis of global terrorism. Computer Graphics Forum 27, 3 (2008), 919-926. 2 – reference: Blei D. M., Ng A. Y., Jordan M. I.: Latent dirichlet allocation. J. Mach. Learn. Res. 3 (Mar. 2003), 993-1022. 4. – reference: Slocum T., McMaster R., Kessler F., Howard H.: Thematic Cartography and Visualization. Pearson Prentice, 2005. 6. – year: 2011 – start-page: 56 year: 2007 end-page: 65 – start-page: 161 year: 2011 end-page: 170 – start-page: 4 year: 2010 – year: 2005 – start-page: 115 year: 2010 end-page: 122 – start-page: 172 year: 2010 end-page: 180 – year: Oct 5 2011 – volume: 27 start-page: 919 issue: 3 year: 2008 end-page: 926 article-title: Investigative visual analysis of global terrorism publication-title: Computer Graphics Forum – year: 2006 – start-page: 281 year: 2010 end-page: 290 – start-page: 137 year: 2004 end-page: 150 – start-page: 303 year: 2010 end-page: 312 – volume: 16 start-page: 1129 issue: 6 year: nov.dec. 2010 end-page: 1138 article-title: A visual backchannel for large‐scale events publication-title: Visualization and Computer Graphics, IEEE Transactions on – start-page: 115 year: 2000 – year: oct. 2011 – volume: 3 start-page: 993 year: Mar. 2003 end-page: 1022 article-title: Latent dirichlet allocation publication-title: J. Mach. Learn. Res. – year: Nov 5 2011 – start-page: 1185 year: 2010 end-page: 1194 – ident: e_1_2_10_13_2 doi: 10.1109/VAST.2011.6102461 – ident: e_1_2_10_20_2 – ident: e_1_2_10_29_2 – ident: e_1_2_10_6_2 – ident: e_1_2_10_9_2 doi: 10.1145/1995966.1995990 – ident: e_1_2_10_15_2 – ident: e_1_2_10_25_2 doi: 10.1145/1718487.1718522 – start-page: 172 volume-title: Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics year: 2010 ident: e_1_2_10_22_2 – ident: e_1_2_10_30_2 doi: 10.1111/j.1467-8659.2008.01225.x – ident: e_1_2_10_12_2 doi: 10.1109/VAST.2010.5652922 – ident: e_1_2_10_4_2 doi: 10.1145/1866029.1866077 – ident: e_1_2_10_19_2 doi: 10.1109/VAST.2011.6102456 – ident: e_1_2_10_7_2 – ident: e_1_2_10_14_2 – volume-title: Thematic Cartography and Visualization year: 2005 ident: e_1_2_10_26_2 – ident: e_1_2_10_17_2 – ident: e_1_2_10_18_2 doi: 10.1145/1348549.1348556 – start-page: 1185 volume-title: Proceedings of the 28th international conference on Human factors in computing systems year: 2010 ident: e_1_2_10_8_2 – ident: e_1_2_10_2_2 – ident: e_1_2_10_5_2 – ident: e_1_2_10_10_2 – ident: e_1_2_10_11_2 doi: 10.1109/TVCG.2010.129 – ident: e_1_2_10_16_2 doi: 10.1109/INFVIS.2000.885098 – ident: e_1_2_10_23_2 doi: 10.1609/icwsm.v4i1.14026 – ident: e_1_2_10_28_2 – ident: e_1_2_10_21_2 – ident: e_1_2_10_27_2 – ident: e_1_2_10_24_2 – ident: e_1_2_10_3_2 doi: 10.1162/jmlr.2003.3.4-5.993
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SubjectTerms	Analysis Architecture Computer architecture Computer graphics Effectiveness I.3.2 [Computer Graphics]: Graphics Systems-Distributed/network graphics Interactive Mathematical analysis Media Monitoring Precursors Social networks Studies Visual
Title	I-SI: Scalable Architecture for Analyzing Latent Topical-Level Information From Social Media Data
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