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Visual Analytics of Higher-order Dependencies in Sensor Data: Demo Abstract

Authors:

Jian Xu,

Jun Tao,

Nitesh V. Chawla,

Chaoli WangAuthors Info & Claims

IoTDI '17: Proceedings of the Second International Conference on Internet-of-Things Design and Implementation

Pages 297 - 298

https://doi.org/10.1145/3054977.3057320

Published: 18 April 2017 Publication History

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Abstract

Existing approach to model sensor movement data as pairwise connections in networks implicitly assumes the Markov property and loses higher-order movement patterns. While the higher-order network (HON) captures higher-order movement patterns, there has not yet been a visualization tool tailored for HON. Based on our prior work, in this demo we present HoNVis, a comprehensive visualization and interactive exploration framework for HON. We demonstrate domain experts' workflow for analyzing global ship movement sensor data with HoNVis.

References

[1]

International Maritime Organization 2012. International Shipping Facts and Figures - Information Resources on Trade, Safety, Security, Environment. International Maritime Organization.

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[2]

P. Kaluza, A. Kölzsch, M. T. Gastner, and B. Blasius. 2010. The Complex Network of Global Cargo Ship Movements. Journal of the Royal Society Interface 7, 48 (2010), 1093--1103.

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[3]

J. Tao, J. Xu, C. Wang, and N. V. Chawla. 2017. HoNVis: Visualizing and Exploring Higher-Order Networks. In Proceedings of IEEE Pacific Visualization Symposium.

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[4]

J. Xu, T. L. Wickramarathne, and N. V. Chawla. 2016. Representing Higher-Order Dependencies in Networks. Science Advances 2, 5 (2016), e1600028.

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[5]

J. Xu, T. L. Wickramarathne, N. V. Chawla, E. K. Grey, K. Steinhaeuser, R. P. Keller, J. M. Drake, and D. M. Lodge. 2014. Improving Management of Aquatic Invasions by Integrating Shipping Network, Ecological, and Environmental Data: Data Mining for Social Good. In Proceedings of ACM SIGKDD. 1699--1708.

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IoTDI '17: Proceedings of the Second International Conference on Internet-of-Things Design and Implementation

April 2017

353 pages

ISBN:9781450349666

DOI:10.1145/3054977

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

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Published: 18 April 2017

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IoTDI '17: International Conference on Internet-of-Things Design and Implementation

April 18 - 21, 2017

PA, Pittsburgh, USA

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