2020
DOI: 10.1109/tvcg.2020.2969056
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PeckVis: A Visual Analytics Tool to Analyze Dominance Hierarchies in Small Groups

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Cited by 9 publications
(3 citation statements)
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“…dominance hierarchies, it is also possible to determine the number or proportion of members of the opposite sex dominated by any female or male to calculate a corresponding summary statistic (see e.g., Kappeler, 2022). Finally, whereas social network analyses may provide additional insights about the structure of intersexual dominance relations, the groups of most lemur species were too small to apply these methods in meaningful ways (see e.g., Eppley et al, 2017), but new methods for small groups are now available (Coelho et al, 2020).…”
Section: Appraisal Of the Evidencementioning
confidence: 99%
“…dominance hierarchies, it is also possible to determine the number or proportion of members of the opposite sex dominated by any female or male to calculate a corresponding summary statistic (see e.g., Kappeler, 2022). Finally, whereas social network analyses may provide additional insights about the structure of intersexual dominance relations, the groups of most lemur species were too small to apply these methods in meaningful ways (see e.g., Eppley et al, 2017), but new methods for small groups are now available (Coelho et al, 2020).…”
Section: Appraisal Of the Evidencementioning
confidence: 99%
“…In event sequence analysis, providing an overview of event attributes in a multi-level storyline is an effective technique to help users access the evolution patterns of data insights [15]. Visualizing the extracted attributes of events in a line chart provides implicit evolution patterns for users in many scenes such as biology system evolution analysis [28], graph structure evolution analysis [12,18], and group dominance analysis [10], etc. Including the time dimension, displaying the attributes of spots along the route can also help users understand the insights of sequential data such as to make a reasonable decision in the route selection by analyzing the attributes of different routes [40].…”
Section: Temporal Attribute Visualizationmentioning
confidence: 99%
“…van den Elzen et al [88] utilized dimensionality reduction to overview the similarities of networks across time. A similar approach was used to visualize dynamic brain networks [9] and compare dominance variation in animal groups [19].…”
Section: Dynamic Network Comparisonmentioning
confidence: 99%