Visual Enterprise Network Analytics - Visualizing Organizational Change

Windhager, Florian; Zenk, Lukas; Federico, Paolo

doi:10.1016/j.sbspro.2011.07.056

Cited by 12 publications

(6 citation statements)

References 33 publications

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“…While their classification is not focused on network visualizations, our work includes a juxtaposition mechanism, which is similarly used in multiple coordinated views (e.g., [31,12,40,42]). In contrast, the kind of hybrid approach we propose can reduce the need to switch between several views (e.g., difference view, animated view) by merging them and allows splitting a history into smaller parts.…”

Section: Hybrid Visualizationsmentioning

confidence: 99%

DiffAni: Visualizing Dynamic Graphs with a Hybrid of Difference Maps and Animation

Rufiange

McGuffin

2013

IEEE Trans. Visual. Comput. Graphics

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Fig. 1. Given a dynamic graph defined over a series of time slices, our DiffAni hybrid visualization displays it as a sequence of consecutive tiles. Each tile may show one or more time slices, and there are three kinds of tiles: diff tiles (indicated with a solid border and two time slice numbers below them, e.g., the left-most tile), animation tiles (indicated with a dashed border and two time slice numbers below them, e.g., the tile covering time slices 2 to 3), and small multiple tiles (indicated with a solid border and a single time slice number below them, e.g., the right-most tile). Nodes and edges are colored in red if they are being removed, or green if they are being added, over time slices. The radial menu above is being used to convert a diff tile into two small multiple ("SM") tiles.Abstract-Visualization of dynamically changing networks (graphs) is a significant challenge for researchers. Previous work has experimentally compared animation, small multiples, and other techniques, and found trade-offs between these. One potential way to avoid such trade-offs is to combine previous techniques in a hybrid visualization. We present two taxonomies of visualizations of dynamic graphs: one of non-hybrid techniques, and one of hybrid techniques. We also describe a prototype, called DiffAni, that allows a graph to be visualized as a sequence of three kinds of tiles: diff tiles that show difference maps over some time interval, animation tiles that show the evolution of the graph over some time interval, and small multiple tiles that show the graph state at an individual time slice. This sequence of tiles is ordered by time and covers all time slices in the data. An experimental evaluation of DiffAni shows that our hybrid approach has advantages over non-hybrid techniques in certain cases.

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Section: Hybrid Visualizationsmentioning

confidence: 99%

DiffAni: Visualizing Dynamic Graphs with a Hybrid of Difference Maps and Animation

Rufiange

McGuffin

2013

IEEE Trans. Visual. Comput. Graphics

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“…Various visualization studies have addressed time-series dynamics. Florian Windhager et al explored four types of dynamic representation: animation, layer comparison, layer merging, and 2.5D view [12]. Particularly regarding graph mergingwhich this study adopted-some studies have used it to visualize dynamics [13] [14].…”

Section: Related Workmentioning

confidence: 99%

BaleeGraph: Visualizing Co-Creation for Social Good

Sekiguchi,

Ohsawa,

Iida

et al. 2023

IIAI Letters on Informatics and Interdisciplinary Research

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Addressing social challenges such as the Sustainable Development Goals (SDGs) necessitates the realization of co-creation, where diverse stakeholders have shared interests and complement each other. However, understanding the state of co-creation is challenging, which can render it less effective and manageable. To address this issue, we introduce a novel visualization method called Graph of BALloon tree with Embedding-based Edges (BaleeGraph) for recognizing the co-creation state. BaleeGraph operates on the assumption that each team possesses keywords and employs embedding vectors to calculate keyword similarity among different teams, thereby illustrating their relationships. We validate BaleeGraph's effectiveness through its application to a case study of Climate change actions with Co-creation powered by Regional weather information and E-technology (ClimCORE) project. BaleeGraph enables participants to identify their strengths and shared interests with other teams. Furthermore, it uncovers paths from each team's keywords to those of the SDGs and analyzes time-series changes in the network structure. We conclude by discussing how BaleeGraph facilitates understanding co-creation for social good.

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“…Data visualization is a promising approach to the characterization of events. A few network visualization software like Gephi [31] and VIENA [32] provide a graphical user interface to explore temporal networks, but they are not designed for event analysis. We will consider novel techniques of visual investigation.…”

Section: B Future Workmentioning

confidence: 99%

Monitoring user-system interactions through graph-based intrinsic dynamics analysis

Heymann

Grand

2013

IEEE 7th International Conference on Research Challenges in Information Science (RCIS)

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Abstract-Monitoring the evolution of user-system interactions is of high importance for complex systems and for information systems in particular, especially to raise alerts automatically when abnormal behaviors occur. However current methods fail at capturing the intrinsic dynamics of the system, and focus on evolution due to exogenous factors like day-night patterns. In order to capture the intrinsic dynamics of user-system interactions, we propose an innovative graph-based approach relying on a novel concept of time. We apply our method on two large real-world systems (the Github.com social network and the eDonkey peer-topeer system) to automatically detect statistically significant events in a real-time fashion. We finally validate our results with the successful interpretation of the detected events.

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Visual Enterprise Network Analytics - Visualizing Organizational Change

Cited by 12 publications

References 33 publications

DiffAni: Visualizing Dynamic Graphs with a Hybrid of Difference Maps and Animation

DiffAni: Visualizing Dynamic Graphs with a Hybrid of Difference Maps and Animation

BaleeGraph: Visualizing Co-Creation for Social Good

Monitoring user-system interactions through graph-based intrinsic dynamics analysis

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