| Member Profile : Ulrik Brandes |
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 | Contact Information | Address: -Map Me-
Ulrik Brandes
University of Konstanz, Department of Computer & Information Science
Box 67
Konstanz, Baden-Württemberg, Germany 78457
Phone : +49 7531 88-4433
Fax : +49 7531 88-3577
E-mail : Ulrik.Brandes@uni-konstanz.de
Website : http://www.inf.uni-konstanz.de/~brandes/
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| Bibliographic Information |
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| | | Software & Data | | Active Calendar Listings |
| visone - visual analysis of social networks | (Software) |
visone (ital. for mink) is free software written in Java and running on Linux, MacOS, and Windows machines.
It features various standard and non-standard methods for analysis and visualization of networks, and a powerful graphical user interface. It's native file format is GraphML, allowing for arbitrarily many attributes of nodes, links, and networks, but other formats such as CSV tables, UCINet DL, Pajek .net, etc. can be imported. Visualizations can be exported as pdf, png, tiff, svg, or Windows metafiles. |
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| | | Network Graduate Programs | | Network Courses |
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| | | Jobs Posted | | Sunbelt Submissions |
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| Sunbelt XXIX - March 10 to March 15, 2009 - Bahia Hotel | | Abstract : Spring Embedder vs. MDS |
| Spring embedders, in particular the variant of Fruchterman & Reingold, appear to be the most frequently used layout algorithms for network visualization. We present results of an extensive experimental study indicating that certain multidimensional scaling approaches available in many network analysis tools are to be preferred. In fact, these differ only slightly from those used for the very first automatic layouts of social networks some 40 years ago. |
| Sunbelt XXX - June 29 to July 04, 2010 - Riva del Garda Fierecongressi | | Workshop : visone - Analysis and Visualization of Social Networks |
This is a hands-on introduction to visone, a graphically oriented software tool that combines comprehensive means for analysis with unique visualization capabilities.
Content:
After a brief introduction to its design and features, we will explore some of the core functionality of visone using exemplary network analyses; step-by-step from data input to presentation of results.
Target audience:
Researchers, students, and practioners. Some elementary knowledge of social network analysis is required, and it is advisable to bring a laptop running Windows, MacOS, or Linux.
About visone:
visone (ital.: mink) is written in Java and freely available from www.visone.info. It features many standard and non-standard methods for analysis and visualization of networks, and a powerful graphical user interface. It's native file format is GraphML, allowing for arbitrarily many attributes of nodes, links, and networks, but other formats such as CSV tables, UCINet DL, Pajek .net, etc., can be imported. Visualizations can be exported as pdf, png, tiff, svg, or Windows metafiles. |
| Sunbelt XXXI - February 08 to February 13, 2011 - Trade Winds Beach Resort
http://www.tradewindsresort.com/
St. Pete Beach | | Abstract : Static Visualization of Network Dynamics |
| Visual exploration is used in particular to complement and inform modeling and analysis of longitudinal networks. Depending on the type of media available, animation and small multiples of intermediate states appear to be the most common forms of graphical representation. We present an alternative approach in which Tufte's sparklines, Gestalt theory, and matrix representations are combined to design static and compact diagrams. We illustrate on some realistic and well-known cases how such designs leverage human pattern-recognition capabilities to spot patterns in time-varying network data. |
| Workshop : visone Tutorial - PART 1 ONLY |
This is a hands-on introduction to visone, a graphically oriented software tool that combines comprehensive means for analysis with unique visualization capabilities.
visone (ital.: mink) is written in Java and freely available from www.visone.info. It features many standard and non-standard methods for analysis and visualization of networks, and a powerful graphical user interface. It\\'s native file format is GraphML, allowing for arbitrarily many attributes of nodes, links, and networks, but other formats such as CSV tables, UCINet DL, Pajek .net, etc., can be imported. Visualizations can be exported as pdf, png, tiff, svg, or Windows metafiles.
Some elementary knowledge of social network analysis is required for this workshop, and it is advisable to bring a laptop running Windows, Linux, or MacOS.
Part 1 (basic): After a brief introduction to its design and features, we will explore some of the core functionality of visone using exemplary network analyses; step-by-step from data input to presentation of results.
Part 2 (advanced): We will explore the capabilities provided by visone\\'s newly added interfaces to the R statistical software and the KNIME software for data mining workflows. In particular, we will discuss the integration of visone and RSiena for longitudinal network analysis and model-fit visualization. |
| Workshop : visone Tutorial - PART 2 ONLY |
This is a hands-on introduction to visone, a graphically oriented software tool that combines comprehensive means for analysis with unique visualization capabilities.
visone (ital.: mink) is written in Java and freely available from www.visone.info. It features many standard and non-standard methods for analysis and visualization of networks, and a powerful graphical user interface. It\\'s native file format is GraphML, allowing for arbitrarily many attributes of nodes, links, and networks, but other formats such as CSV tables, UCINet DL, Pajek .net, etc., can be imported. Visualizations can be exported as pdf, png, tiff, svg, or Windows metafiles.
Some elementary knowledge of social network analysis is required for this workshop, and it is advisable to bring a laptop running Windows, Linux, or MacOS.
Part 1 (basic): After a brief introduction to its design and features, we will explore some of the core functionality of visone using exemplary network analyses; step-by-step from data input to presentation of results.
Part 2 (advanced): We will explore the capabilities provided by visone\\'s newly added interfaces to the R statistical software and the KNIME software for data mining workflows. In particular, we will discuss the integration of visone and RSiena for longitudinal network analysis and model-fit visualization. |
| Workshop : visone Tutorial - PARTS 1 & 2 |
This is a hands-on introduction to visone, a graphically oriented software tool that combines comprehensive means for analysis with unique visualization capabilities.
visone (ital.: mink) is written in Java and freely available from www.visone.info. It features many standard and non-standard methods for analysis and visualization of networks, and a powerful graphical user interface. It\\'s native file format is GraphML, allowing for arbitrarily many attributes of nodes, links, and networks, but other formats such as CSV tables, UCINet DL, Pajek .net, etc., can be imported. Visualizations can be exported as pdf, png, tiff, svg, or Windows metafiles.
Some elementary knowledge of social network analysis is required for this workshop, and it is advisable to bring a laptop running Windows, Linux, or MacOS.
Part 1 (basic): After a brief introduction to its design and features, we will explore some of the core functionality of visone using exemplary network analyses; step-by-step from data input to presentation of results.
Part 2 (advanced): We will explore the capabilities provided by visone\\'s newly added interfaces to the R statistical software and the KNIME software for data mining workflows. In particular, we will discuss the integration of visone and RSiena for longitudinal network analysis and model-fit visualization. |
| Sunbelt XXXII - March 12 to March 18, 2012 - Crowne Plaza Hotel
https://resweb.passkey.com/go/INSNASunbelt
Redondo Beach | | Workshop : Visone Tutorial (part I & II) |
This is a hands-on introduction to visone, a graphically oriented software tool that combines comprehensive means for analysis with unique visualization capabilities. visone (ital.: mink) is written in Java and freely available from www.visone.info. It features many standard and non-standard methods for analysis and visualization of networks, and a powerful graphical user interface. It’s native file format is GraphML, allowing for arbitrarily many attributes of nodes, links, and networks, but other formats such as CSV tables, UCINET DL, Pajek .net, etc., can be imported. Visualizations can be exported as pdf, png, tiff, svg, or Windows metafiles.
Some elementary knowledge of social network analysis is required for this workshop, and it is advisable to bring a laptop running Windows, Linux, or MacOS.
Part 1 (basic): After a brief introduction to its design and features, we will explore some of the core functionalities of visone using exemplary network analyses; step-by-step from data input to presentation of results.
Part 2 (advanced): We will explore the capabilities provided by visone’s interfaces to the R statistical software and discuss the integration of visone and RSiena for longitudinal network analysis and model-fit visualization.
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| Workshop : Visone Tutorial (part I) |
This is a hands-on introduction to visone, a graphically oriented software tool that combines comprehensive means for analysis with unique visualization capabilities. visone (ital.: mink) is written in Java and freely available from www.visone.info. It features many standard and non-standard methods for analysis and visualization of networks, and a powerful graphical user interface. It’s native file format is GraphML, allowing for arbitrarily many attributes of nodes, links, and networks, but other formats such as CSV tables, UCINET DL, Pajek .net, etc., can be imported. Visualizations can be exported as pdf, png, tiff, svg, or Windows metafiles.
Some elementary knowledge of social network analysis is required for this workshop, and it is advisable to bring a laptop running Windows, Linux, or MacOS.
Part 1 (basic): After a brief introduction to its design and features, we will explore some of the core functionalities of visone using exemplary network analyses; step-by-step from data input to presentation of results.
Part 2 (advanced): We will explore the capabilities provided by visone’s interfaces to the R statistical software and discuss the integration of visone and RSiena for longitudinal network analysis and model-fit visualization.
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| Workshop : Visone Tutorial (part II) |
This is a hands-on introduction to visone, a graphically oriented software tool that combines comprehensive means for analysis with unique visualization capabilities. visone (ital.: mink) is written in Java and freely available from www.visone.info. It features many standard and non-standard methods for analysis and visualization of networks, and a powerful graphical user interface. It’s native file format is GraphML, allowing for arbitrarily many attributes of nodes, links, and networks, but other formats such as CSV tables, UCINET DL, Pajek .net, etc., can be imported. Visualizations can be exported as pdf, png, tiff, svg, or Windows metafiles.
Some elementary knowledge of social network analysis is required for this workshop, and it is advisable to bring a laptop running Windows, Linux, or MacOS.
Part 1 (basic): After a brief introduction to its design and features, we will explore some of the core functionalities of visone using exemplary network analyses; step-by-step from data input to presentation of results.
Part 2 (advanced): We will explore the capabilities provided by visone’s interfaces to the R statistical software and discuss the integration of visone and RSiena for longitudinal network analysis and model-fit visualization.
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