Proceedings of the third international conference on Collaborative virtual environments
Evaluating computer-supported cooperative work: models and frameworks
CSCW '04 Proceedings of the 2004 ACM conference on Computer supported cooperative work
A Multiple View Approach to Support Common Ground in Distributed and Synchronous Geo-Collaboration
CMV '05 Proceedings of the Coordinated and Multiple Views in Exploratory Visualization
Collaborative Visualization: A Review and Taxonomy
DS-RT '05 Proceedings of the 9th IEEE International Symposium on Distributed Simulation and Real-Time Applications
Interactive Tree Comparison for Co-located Collaborative Information Visualization
IEEE Transactions on Visualization and Computer Graphics
Design Considerations for Collaborative Visual Analytics
VAST '07 Proceedings of the 2007 IEEE Symposium on Visual Analytics Science and Technology
IEEE Transactions on Visualization and Computer Graphics
Co-Located Collaborative Visual Analytics around a Tabletop Display
IEEE Transactions on Visualization and Computer Graphics
Sybil attack detection through global topology pattern visualization
Information Visualization
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Collaboration is prevalent for network security teams to protect networking environments, yet few network visualization tools are designed for collaborative analysis. With the increasing complexity and volume of dynamic networks, it is important to adopt strategies of joint decision-making through developing collaborative visualization approaches. In this paper, we present a formal user study to evaluate how paired users collaborate under co-located and distributed collaboration environments to tackle the problems of intrusion detection. Ten paired participants are requested to use network visualization patterns to identify attacks existed in the datasets. We observe participants behaviors and collect their performances from the aspects of coordination and communication, which include prioritizing goals and directions, dividing and balancing workloads, and negotiating analysis decisions while maintaining situational awareness. Based on the results, we conclude several coordination strategies and summarize the values of communication for collaborative detection. We also discuss human-related factors in the process of joint decision-making. Our study provides useful information for future design and development of collaborative visualization systems.