Egocentric Analysis of Dynamic Networks with EgoLines

Zhao, Jian; Glueck, Michael; Chevalier, Fanny; Wu, Yanhong; Khan, Azam

doi:10.1145/2858036.2858488

Cited by 46 publications

(38 citation statements)

References 35 publications

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“…It has seen increased use in HCI and visualization (e.g. [11,18,35,66,71,74]). We pre-specified all analyses before conducting the experiment and tested on pilot data.…”

Section: S2: Results and Analysismentioning

confidence: 99%

Active Reading of Visualizations

Walny

Huron

Périn

et al. 2018

IEEE Trans. Visual. Comput. Graphics

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This is the accepted version of the paper.This version of the publication may differ from the final published version. Abstract-We investigate whether the notion of active reading for text might be usefully applied to visualizations. Through a qualitative study we explored whether people apply observable active reading techniques when reading paper-based node-link visualizations. Participants used a range of physical actions while reading, and from these we synthesized an initial set of active reading techniques for visualizations. To learn more about the potential impact such techniques may have on visualization reading, we implemented support for one type of physical action from our observations (making freeform marks) in an interactive node-link visualization. Results from our quantitative study of this implementation show that interactive support for active reading techniques can improve the accuracy of performing low-level visualization tasks. Together, our studies suggest that the active reading space is ripe for research exploration within visualization and can lead to new interactions that make for a more flexible and effective visualization reading experience. Permanent repository linkIndex Terms-active reading of visualizations, active reading, information visualization, spectrum of physical engagement

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“…It has seen increased use in HCI and visualization (e.g. [11,18,35,66,71,74]). We pre-specified all analyses before conducting the experiment and tested on pilot data.…”

Section: S2: Results and Analysismentioning

confidence: 99%

Active Reading of Visualizations

Walny

Huron

Périn

et al. 2018

IEEE Trans. Visual. Comput. Graphics

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“…Professional players are embedded into the social structure which is formed by esports arena within which they are discussed, compared, and evaluated in connection with respect to other players and teams. By analysing discussions we uncover mechanisms behind such evaluations using perceived personal networks (Zhao et al 2016;Boyd and Heer 2006;Hâncean, Molina, and Lubbers 2016). We show that some players within the professional Dota 2 community can be considered as exemplars (Dekker 2016).…”

Section: Uncovering Evaluation Mechanisms With Computational Toolsmentioning

confidence: 93%

Personal Brands of ESports Athletes: An Exploration of Evaluation Mechanisms

2019

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Esports organisations and athletes, being participants of an attention-driven market, are constantly discussed, compared and evaluated by spectators in a cross-media-based process on such platforms as Twitch, Reddit and others. In this work, we discuss an approach to analyse valuation practices related to esports spectatorship based on the concepts of a brand as an organising device, using computational text analysis tools and reconstruction of personal networks.

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“…In cases where the information was not mentioned we estimated the graph sizes from the figures (e.g. [25,27,51,78,100,116,122,123,126,147,150,151]). We also used the hue of the circles to differentiate between static and dynamic graphs.…”

Section: Basic Measures Of Complexitymentioning

confidence: 99%

“…In fact, all studies that use graphs with ten nodes or more and a density of more than 20% evaluate matrix-like visualisations that scale well for dense graphs [50,77,140,147] or evaluate edgecompression and edge-bundling tools [16,40].…”

Section: Number Of E Dgesmentioning

confidence: 99%

Exploring the limits of complexity: A survey of empirical studies on graph visualisation

et al. 2018

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For decades, researchers in information visualisation and graph drawing have focused on developing techniques for the layout and display of very large and complex networks. Experiments involving human participants have also explored the readability of different styles of layout and representations for such networks. In both bodies of literature, networks are frequently referred to as being 'large' or 'complex', yet these terms are relative. From a human-centred, experiment point-of-view, what constitutes 'large' (for example) depends on several factors, such as data complexity, visual complexity, and the technology used. In this paper, we survey the literature on humancentred experiments to understand how, in practice, different features and characteristics of node-link diagrams affect visual complexity.

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Egocentric Analysis of Dynamic Networks with EgoLines

Cited by 46 publications

References 35 publications

Active Reading of Visualizations

Active Reading of Visualizations

Personal Brands of ESports Athletes: An Exploration of Evaluation Mechanisms

Exploring the limits of complexity: A survey of empirical studies on graph visualisation

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