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Conference Highlights Papers Provenance Sensemaking Visual Analytics

SenseMap: Supporting Browser-based Online Sensemaking through Analytic Provenance (VAST 2016)

The paper is accepted by the VAST 2016 conference!

The paper introduced a new tool called SenseMap that help users with online sensemaking for daily tasks such as find a camera, book a holiday, etc.

The tool is available as a Chrome plugin (very early stage = lots of bugs 🙂 and there is more information here: sensemap.io. Any comment/feedback is welcome!

sensemap

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Highlights Journal Papers Provenance Sensemaking Visual Analytics

Timesets: Timeline visualization with set relations (Information Visualisation journal 2016)

This paper describes a new method designed for temporal visualization with ‘set’ information. Here the ‘set’ can be different ‘theme’ or ‘topic’, such as person, location, organisation, etc.

It was selected as the journal cover! More information here

timesets

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Highlights Journal Papers Provenance Sensemaking Visual Analytics

Sensepath: Understanding sensemaking process through analytic provenance (TVCG 2015)

The paper is accepted at VAST 2015, and later appeared in the journal TVCG. It introduces a new tool that can save a lot time doing the transcription and coding when analysing the data collected from qualitative studies such as thematic analysis.

More details here

SensePath

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Highlights Journal Papers Provenance Sensemaking Visual Analytics

Analytic Provenance for Sensemaking: A Research Agenda (CG&A 2015)

This is the outcomes from the analytic provenance workshop organised at VIS 2014. It provides an overview of the research related to analytic provenance and the challenges/open problems it faces (a lot). PDF (IEEE digital library Xplore)

provenance-agenda

 

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Highlights Journal Papers Sensemaking Visual Analytics

Concern Level Assessment: Building Domain Knowledge into a Visual System to Support Network Security Situation Awareness (Information Visualisation Journal 2014)

This is a detailed report of our winner entry to the VAST challenge 2012.

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Conference Highlights Organisation Provenance Sensemaking Services Visual Analytics

Provenance for Sensemaking Workshop at IEEE VIS 2014 (Paris, France)

I am co-chairing a workshop on Provenance and Sensemaking at the IEEE VIS conference week in Paris. The submission deadline has now passed, but you can still join the discussions at the workshop during the conference. Hope to see you there!

workshop-banner

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Awards Conference Highlights Provenance Sensemaking Social media Visual Analytics

VAST Visual Analytics Challenge 2014 – Honorable Mention

This year, the Visual Analytics challenge organised by the IEEE VAST (Visual Analytics Science & Technology) conference again had a mini-challenge on Twitter data, and it is (near) real-time this time. The task is to monitor the Twitter feed and provide (near) real-time updates on important events that are happening and find information related to a suspected kidnapping.

Our entry won a ‘Honorable Mention for Effective Support for Analytic Sensemaking’, a step away from getting an award. You can see the system working in the demo video below (best in full screen with sound on).

SAVI-SocialAnalyticsVIsulisation

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Highlights Journal Papers Visual Analytics

Book chapter on Multivariate Network Visualisation

T. J. Jankun-Kelly, T. Dwyer, D. Holten, C. Hurter, M. Nöllenburg, C. Weaver, and K. Xu, “Scalability Considerations for Multivariate Graph Visualization,” in Multivariate Network Visualization, A. Kerren, H. C. Purchase, and M. O. Ward, Eds. Springer International Publishing, 2014, pp. 207–235. PDF.
Multivariate network is a quite challenging problem: it involves both the network structure and the attributes of the nodes and edges. Think of a social network: you have people as the nodes and their relationships as edges; there are information about the people (age, gender, profession) and their relationships (friends/colleague, when it started, etc). Considering both will provide  a deeper look into the social network, but makes the visualisation more difficult at the same time. This book chapter mainly surveys human performance related issues to this type of visualisation. This is an example of my previous work on this topic:
family-marital
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Highlights Journal Papers Provenance Sensemaking Visual Analytics

TVCG/VAST 2013: An Extensible Framework for Provenance in Human Terrain Visual Analytics

diva-screenshot

The paper is accepted by the VAST 2013 conference and will appear in the IEEE Transactions on Visualization and Computer Graphics. It provides visualisation for different uncertainties in Human Terrain Analyisis and a way to construct narratives of the visual exploration discoveries. PDF

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Highlights Journal Papers Sensemaking Visual Analytics

Concern Level Assessment: Building Domain Knowledge into a Visual System to Support Network Security Situation Awareness

This is the journal paper about the VAST Challenge 2012 award. It is accepted by the Information Visualisation journal and will appear shortly. PDF

vast-2012-paper