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Hans-Jörg Schulz

In Situ Exploration of Large Dynamic Networks

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

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In Situ Exploration of Large Dynamic Networks. / Hadlak, Steffen; Schulz, Hans-Jörg; Schumann, Heidrun.

In: IEEE Transactions on Visualization and Computer Graphics, Vol. 17, No. 12, 01.12.2011, p. 2334-2343.

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

Harvard

Hadlak, S, Schulz, H-J & Schumann, H 2011, 'In Situ Exploration of Large Dynamic Networks', IEEE Transactions on Visualization and Computer Graphics, vol. 17, no. 12, pp. 2334-2343. https://doi.org/10.1109/TVCG.2011.213

APA

Hadlak, S., Schulz, H-J., & Schumann, H. (2011). In Situ Exploration of Large Dynamic Networks. IEEE Transactions on Visualization and Computer Graphics, 17(12), 2334-2343. https://doi.org/10.1109/TVCG.2011.213

CBE

Hadlak S, Schulz H-J, Schumann H. 2011. In Situ Exploration of Large Dynamic Networks. IEEE Transactions on Visualization and Computer Graphics. 17(12):2334-2343. https://doi.org/10.1109/TVCG.2011.213

MLA

Hadlak, Steffen, Hans-Jörg Schulz and Heidrun Schumann. "In Situ Exploration of Large Dynamic Networks". IEEE Transactions on Visualization and Computer Graphics. 2011, 17(12). 2334-2343. https://doi.org/10.1109/TVCG.2011.213

Vancouver

Hadlak S, Schulz H-J, Schumann H. In Situ Exploration of Large Dynamic Networks. IEEE Transactions on Visualization and Computer Graphics. 2011 Dec 1;17(12):2334-2343. https://doi.org/10.1109/TVCG.2011.213

Author

Hadlak, Steffen ; Schulz, Hans-Jörg ; Schumann, Heidrun. / In Situ Exploration of Large Dynamic Networks. In: IEEE Transactions on Visualization and Computer Graphics. 2011 ; Vol. 17, No. 12. pp. 2334-2343.

Bibtex

@article{6207a755159047669c5ee0302b9eaafe,
title = "In Situ Exploration of Large Dynamic Networks",
abstract = "The analysis of large dynamic networks poses a challenge in many fields, ranging from large bot-nets to social networks. As dynamic networks exhibit different characteristics, e.g., being of sparse or dense structure, or having a continuous or discrete time line, a variety of visualization techniques have been specifically designed to handle these different aspects of network structure and time. This wide range of existing techniques is well justified, as rarely a single visualization is suitable to cover the entire visual analysis. Instead, visual representations are often switched in the course of the exploration of dynamic graphs as the focus of analysis shifts between the temporal and the structural aspects of the data. To support such a switching in a seamless and intuitive manner, we introduce the concept of in situ visualization– a novel strategy that tightly integrates existing visualization techniques for dynamic networks. It does so by allowing the user to interactively select in a base visualization a region for which a different visualization technique is then applied and embedded in the selection made. This permits to change the way a locally selected group of data items, such as nodes or time points, are shown – right in the place where they are positioned, thus supporting the user's overall mental map. Using this approach, a user can switch seamlessly between different visual representations to adapt a region of a base visualization to the specifics of the data within it or to the current analysis focus. This paper presents and discusses the in situ visualization strategy and its implications for dynamic graph visualization. Furthermore, it illustrates its usefulness by employing it for the visual exploration of dynamic networks from two different fields: model versioning and wireless mesh networks.",
author = "Steffen Hadlak and Hans-J{\"o}rg Schulz and Heidrun Schumann",
year = "2011",
month = dec,
day = "1",
doi = "10.1109/TVCG.2011.213",
language = "English",
volume = "17",
pages = "2334--2343",
journal = "I E E E Transactions on Visualization and Computer Graphics",
issn = "1077-2626",
publisher = "Institute of Electrical and Electronics Engineers",
number = "12",

}

RIS

TY - JOUR

T1 - In Situ Exploration of Large Dynamic Networks

AU - Hadlak, Steffen

AU - Schulz, Hans-Jörg

AU - Schumann, Heidrun

PY - 2011/12/1

Y1 - 2011/12/1

N2 - The analysis of large dynamic networks poses a challenge in many fields, ranging from large bot-nets to social networks. As dynamic networks exhibit different characteristics, e.g., being of sparse or dense structure, or having a continuous or discrete time line, a variety of visualization techniques have been specifically designed to handle these different aspects of network structure and time. This wide range of existing techniques is well justified, as rarely a single visualization is suitable to cover the entire visual analysis. Instead, visual representations are often switched in the course of the exploration of dynamic graphs as the focus of analysis shifts between the temporal and the structural aspects of the data. To support such a switching in a seamless and intuitive manner, we introduce the concept of in situ visualization– a novel strategy that tightly integrates existing visualization techniques for dynamic networks. It does so by allowing the user to interactively select in a base visualization a region for which a different visualization technique is then applied and embedded in the selection made. This permits to change the way a locally selected group of data items, such as nodes or time points, are shown – right in the place where they are positioned, thus supporting the user's overall mental map. Using this approach, a user can switch seamlessly between different visual representations to adapt a region of a base visualization to the specifics of the data within it or to the current analysis focus. This paper presents and discusses the in situ visualization strategy and its implications for dynamic graph visualization. Furthermore, it illustrates its usefulness by employing it for the visual exploration of dynamic networks from two different fields: model versioning and wireless mesh networks.

AB - The analysis of large dynamic networks poses a challenge in many fields, ranging from large bot-nets to social networks. As dynamic networks exhibit different characteristics, e.g., being of sparse or dense structure, or having a continuous or discrete time line, a variety of visualization techniques have been specifically designed to handle these different aspects of network structure and time. This wide range of existing techniques is well justified, as rarely a single visualization is suitable to cover the entire visual analysis. Instead, visual representations are often switched in the course of the exploration of dynamic graphs as the focus of analysis shifts between the temporal and the structural aspects of the data. To support such a switching in a seamless and intuitive manner, we introduce the concept of in situ visualization– a novel strategy that tightly integrates existing visualization techniques for dynamic networks. It does so by allowing the user to interactively select in a base visualization a region for which a different visualization technique is then applied and embedded in the selection made. This permits to change the way a locally selected group of data items, such as nodes or time points, are shown – right in the place where they are positioned, thus supporting the user's overall mental map. Using this approach, a user can switch seamlessly between different visual representations to adapt a region of a base visualization to the specifics of the data within it or to the current analysis focus. This paper presents and discusses the in situ visualization strategy and its implications for dynamic graph visualization. Furthermore, it illustrates its usefulness by employing it for the visual exploration of dynamic networks from two different fields: model versioning and wireless mesh networks.

U2 - 10.1109/TVCG.2011.213

DO - 10.1109/TVCG.2011.213

M3 - Journal article

C2 - 22034354

VL - 17

SP - 2334

EP - 2343

JO - I E E E Transactions on Visualization and Computer Graphics

JF - I E E E Transactions on Visualization and Computer Graphics

SN - 1077-2626

IS - 12

ER -