VAST Challenge 2015: Mayhem at dinofun world

Abstract

A fictitious amusement park and a larger-than-life hometown football hero provided participants in the VAST Challenge 2015 with an engaging yet complex storyline and setting in which to analyze movement and communication patterns. The datasets for the 2015 challenge were large-averaging nearly 10 million records per day over a three day period-with a simple straightforward structured format. The simplicity of the format belied a complex wealth of features contained in the data that needed to be discovered and understood to solve the tasks and questions that were posed. Two Mini-Challenges and a Grand Challenge compose the 2015 competition. Mini-Challenge 1 contained structured location and date-time data for park visitors, against which participants were to discern groups and their activities. Mini-Challenge 2 contained structured communication data consisting of metadata about time-stamped text messages sent between park visitors. The Grand Challenge required participants to use both movement and communication data to hypothesize when a crime was committed and identify the most likely suspects from all the park visitors. The VAST Challenge 2015 received 74 submissions, and the datasets were downloaded, at least partially, from 26 countries.

CommViz: Visualization of semantic patterns in large social communication networks

“…To demonstrate the flexibility of CommViz to accommodate the representation of other communication data sets, we applied it to a small Twitter sample, and to the ''Dinofun World'' visitor communication data 4 from the VAST 2015 Mini-Challenge 2. 48 Both adaptations can be viewed at http://commviz.eng.unimelb. edu.au/new_hive_plot.html (source data set is selectable through the drop-down menu at top left, as seen in Figure 10).…”

ITEA—interactive trajectories and events analysis: exploring sequences of spatio-temporal events in movement data

“…IEEE VAST 2015 challenge [18] submissions provide some interesting approaches. The best comprehensive solution [17] employed a web system that combines data wrangling, trajectory analysis, network analysis, and interactive visualizations for discovering movement and communication patterns of users and their networks.…”

“…The IEEE VAST 2015 challenge [18] data include movement/location data generated by tracking the visitors of an entertainment park (DinoFun World). The park covers an area of 500 by 500 m and the visitors are tracked with a five meters resolution.…”

“…Describe no more than 10 anomalies, and prioritize those unusual patterns that you think are most likely to be relevant to the crime. Each of the tasks contains additional questions [18].…”

“…In this paper, we deal with complex movement data that were provided for the IEEE VAST 2015 challenge [18]. The story takes place in an entertainment park equipped with an RFID tracking system.…”