Gone full circle: A radial approach to visualize event-based networks in digital humanities

Filipov, Velitchko; Schetinger, Victor; Raminger, Kathrin; Soursos, Nathalie Patricia; Zapke, Susana; Miksch, Silvia

doi:10.1016/j.visinf.2021.01.001

Cited by 12 publications

(5 citation statements)

References 15 publications

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“…While some applications may work directly with historical records [IA12, KOTM13] such as voting, speeches, or minutes, others rely on indirect data, such as presence locations [OIK * 11] to build a picture of events and relationships. Finally, it is important to note that certain applications may need to connect multiple approaches – for instance, investigating how events can affect relationships over time [NMM * 14,FSR * 21].…”

Section: Related Workmentioning

confidence: 99%

“…Event visualization methods focus on describing or summarizing events, and relationships between them [GGJ * 21, FBM16]. Datasets from historical records often contain graphs of several interconnected elements that interact with one another over time, and visualizing these interactions in a concise and informative manner can be a challenge [FSR * 21].…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Exploring Interpersonal Relationships in Historical Voting Records

Cantareira

Xing

Cole

et al. 2023

Computer Graphics Forum

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Figure 1: In the dataset visualizer interface (left, panels DV1-3), voting records from a constitutional convention dataset can be explored, and voting patterns from people can be visualized as projections. Data can be filtered and sampled, and information about the quality and composition of the projection itself can be visualized. Records from individual people can be investigated using the person visualizer interface (right, panels PV1-5), which contains committee involvement, keywords, relationships, event participation, and voting breakdown. The blue highlights show an example of workflow: parts of the timeline are chosen to be projected (A), a point of interest is identified in the projection as two people became closer (B) and the reason for that behavior -a large section of votes in agreement -is seen on the vote breakdown (C).

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Exploring Interpersonal Relationships in Historical Voting Records

Cantareira

Xing

Cole

et al. 2023

Computer Graphics Forum

View full text Add to dashboard Cite

show abstract

“…Among the previous related works using circular and radial patterns as the primary mark, we can mention [47], which is a survey on techniques using the mentioned marks for visualizations. Te authors in [48] proposed a radial approach for visualizing event-based networks. Tey emphasized the temporal and relational aspects of the data.…”

Section: Information Visualizationmentioning

confidence: 99%

Nesting Circles: An Interactive Visualization Paradigm for Network Intrusion Detection System Alerts

Shahryari

Khanli

Ramezani

et al. 2023

Security and Communication Networks

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Intrusion detection systems (IDSs) are valuable tools for fighting against those who want to intrude on the network and steal sensitive information for any reason. These tools, however, have difficulties in their essence. The generated alerts are in textual format, and extracting the exact information from the textual files needs lots of time and scrutiny. Also, not all alerts are accurate, and these tools suffer a setback named false-positive alerts, meaning that although no attack occurs, they may log some alerts. It is almost impossible to detect the penetration according to the discussed conditions. Information visualization is a method that transforms information into a visual representation for a better and quicker understanding. Indeed, the more the visualization is representative and straightforward, the more information it can transfer and the more worthy it is. This paper proposes a new paradigm for visualizing IDS alerts named nesting circles. We keep simplicity by using circles as the primary mark and the size and color as the only used channels. This makes the visualization easy to read and intuitive to understand. Furthermore, nesting circles provide a complete visualization of explicit and implicit information to the admin, and the previous approaches lacked this vital feature. The efficiency of nesting circles is examined through the VAST challenge case study, and it is shown to be effective in finding hidden attacks in the logs.

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“…4h, we consider three alternative designs, namely, rose diagram, radial bar chart, and donut chart, to visualize R(S). Moreover, we integrate the circular designs [19] with a representative frame whose risk score is the highest in the scene (R4). The radial bar chart visualizes risk tags by using bar sectors and the bar height to encode the risk score, which is easy to interpret.…”

Section: Frame Viewmentioning

confidence: 99%

VideoModerator: A Risk-aware Framework for Multimodal Video Moderation in E-Commerce

Tang¹,

Wu²,

Yu³

et al. 2021

Preprint

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Video moderation, which refers to remove deviant or explicit content from e-commerce livestreams, has become prevalent owing to social and engaging features. However, this task is tedious and time consuming due to the difficulties associated with watching and reviewing multimodal video content, including video frames and audio clips. To ensure effective video moderation, we propose VideoModerator, a risk-aware framework that seamlessly integrates human knowledge with machine insights. This framework incorporates a set of advanced machine learning models to extract the risk-aware features from multimodal video content and discover potentially deviant videos. Moreover, this framework introduces an interactive visualization interface with three views, namely, a video view, a frame view, and an audio view. In the video view, we adopt a segmented timeline and highlight high-risk periods that may contain deviant information. In the frame view, we present a novel visual summarization method that combines risk-aware features and video context to enable quick video navigation. In the audio view, we employ a storyline-based design to provide a multi-faceted overview which can be used to explore audio content. Furthermore, we report the usage of VideoModerator through a case scenario and conduct experiments and a controlled user study to validate its effectiveness.

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Gone full circle: A radial approach to visualize event-based networks in digital humanities

Cited by 12 publications

References 15 publications

Exploring Interpersonal Relationships in Historical Voting Records

Exploring Interpersonal Relationships in Historical Voting Records

Nesting Circles: An Interactive Visualization Paradigm for Network Intrusion Detection System Alerts

VideoModerator: A Risk-aware Framework for Multimodal Video Moderation in E-Commerce

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