ScatterBlogs: Geo-spatial document analysis

Bosch, Harald; Thom, Dennis; Wörner, Michael; Koch, Steffen; Puttmann, Edwin; Jäckle, Dominik; Ertl, Thomas

doi:10.1109/vast.2011.6102488

Cited by 29 publications

(12 citation statements)

References 2 publications

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“…The ability to scroll up & down the table is a sort of basic feature for the tools providing this type of view. However, (Bosch et al 2011Chae et al 2012;Andrienko et al 2013) also allow selecting and possibly removing an unwanted message; (Kumar et al 2011) let the user switch between tweets and entities to show their frequency in the tweets, and (MacEachren et al 2011a, b) permit organizing the list of the 500 most related tweets based on relevance, time, and space.…”

Section: Figmentioning

confidence: 99%

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A Survey on Visual Analytics for the Spatio-Temporal Exploration of Microblogging Content

Bertone

Burghardt

2017

J geovis spat anal

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User-generated content is a valuable source of information whose production increases year after year. Twitter data is a form of user-generated content that is frequently adopted to comment on life activities in several contexts. Thus, scientific interest in that data has increased in recent years. This paper focusses on visual analytics approaches addressing the microblogging content exchanged through Twitter. In particular, we concentrate our interest on approaches that consider spatial and temporal aspects and provide visual support. Articles from the major conferences, journals, and digital libraries have been collected, organized and compared based on different criteria such as research questions, application focus, analytical and visual methods adopted, and interaction provided. In addition to these comparisons, opportunities and challenges are illustrated to inspire future research.

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Section: Figmentioning

confidence: 99%

“…(MacEachren et al 2011a, b)), heatbar (e.g. (Bosch et al 2011)) or histogram over the temporal filter to show for example the related frequency, volume, and sentiment of the elements contained in the selected interval. Finally, animations and the ability to choose a time window are only provided by (Cao et al 2012).…”

mentioning

confidence: 99%

A Survey on Visual Analytics for the Spatio-Temporal Exploration of Microblogging Content

Bertone

Burghardt

2017

J geovis spat anal

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“…The analysis is used to check for impact and analyze so‐called conversion rate, i. e. the conversion from a normal site user to a paying customer, and how it might have been triggered. Another example would be the real‐time aggregation and analysis of hot topics across twitter, YouTube and flickr provided by ScatterBlogs [BTW*11, BTH*13] to obtain situational awareness. Since this data is already located in the cloud, a cloud‐based analysis solution is a natural choice.…”

Section: Discussionmentioning

confidence: 99%

State‐of‐the‐Art Report in Web‐based Visualization

Mwalongo

Krone

Reina

et al. 2016

Computer Graphics Forum

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In this report, we review the current state of the art of web-based visualization applications. Recently, an increasing number of web-based visualization applications have emerged. This is due to the fact that new technologies offered by modern browsers greatly increased the capabilities for visualizations on the web. We first review these technical aspects that are enabling this development. This includes not only improvements for local rendering like WebGL and HTML5, but also infrastructures like grid or cloud computing platforms. Another important factor is the transfer of data between the server and the client. Therefore, we also discuss advances in this field, for example methods to reduce bandwidth requirements like compression and other optimizations such as progressive rendering and streaming. After establishing these technical foundations, we review existing web-based visualization applications and prototypes from various application domains. Furthermore, we propose a classification of these web-based applications based on the technologies and algorithms they employ. Finally, we also discuss promising application areas that would benefit from web-based visualization and assess their feasibility based on the existing approaches.

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“…Their work also demonstrates that social media can be a potential source for crisis management. Bosch et al (2011) provides a scalable system enabling analysts to work on quantitative findings within a large set of tweets with geo-location. Chae et al (2012) propose a combination of LDA and Seasonal-Trend Decomposition for abnormal event detection.…”

Section: Location-based Social Network Analysismentioning

confidence: 99%

Transparency in Social Media

Matei¹,

Russell²,

Bertino³

2015

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A series of authored and edited monographs that utilize quantitative and computational methods to model, analyze and interpret large-scale social phenomena. Titles within the series contain methods and practices that test and develop theories of complex social processes through bottom-up modeling of social interactions. Of particular interest is the study of the co-evolution of modern communication technology and social behavior and norms, in connection with emerging issues such as trust, risk, security and privacy in novel socio-technical environments.Computational Social Sciences is explicitly transdisciplinary: quantitative methods from fields such as dynamical systems, artificial intelligence, network theory, agentbased modeling, and statistical mechanics are invoked and combined with state-ofthe-art mining and analysis of large data sets to help us understand social agents, their interactions on and offline, and the effect of these interactions at the macro level. Topics include, but are not limited to social networks and media, dynamics of opinions, cultures and conflicts, socio-technical co-evolution and social psychology. Computational Social Sciences will also publish monographs and selected edited contributions from specialized conferences and workshops specifically aimed at communicating new findings to a large transdisciplinary audience. A fundamental goal of the series is to provide a single forum within which commonalities and differences in the workings of this field may be discerned, hence leading to deeper insight and understanding. Series EditorsMore information about this series at

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ScatterBlogs: Geo-spatial document analysis

Abstract: Figure 1: The map of Vastopolis with overlays for message densities (gray colored areas with three bright hotspots), event labels of spatiotemporal term anomalies (text colored by the relevant time interval), and the highlighted relevant areas of the truck event (orange).

Cited by 29 publications

References 2 publications

A Survey on Visual Analytics for the Spatio-Temporal Exploration of Microblogging Content

A Survey on Visual Analytics for the Spatio-Temporal Exploration of Microblogging Content

State‐of‐the‐Art Report in Web‐based Visualization

Transparency in Social Media

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