Vizster: visualizing online social networks
By Jeffrey Heer, D. boyd. IEEE Symposium on Information Visualization, 2005. INFOVIS 2005., 2005
728 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Sociology and Political Science, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/84e9041e77ee9cbca1a2e4f841fc23804f4e5b48
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Jean-Daniel Fekete
- Jeffrey Heer
- Nathalie Henry Riche
- Michael J. McGuffin
- Tamara Munzner
- Ben Shneiderman
- John T. Stasko
- Aleks Aris
In Sociology and Political Science
- Filippo Menczer
- Alessandro Flammini
- Bruno Gonçalves
- Jean-Daniel Fekete
- Jeffrey Heer
- Ben Shneiderman
- Nathalie Henry Riche
- John T. Stasko
In Statistical and Nonlinear Physics
- Filippo Menczer
- Alessandro Flammini
- Jean-Daniel Fekete
- Bruno Gonçalves
- Michael D. Conover
- Nathalie Henry Riche
- Michael J. McGuffin
- Ben Shneiderman
Citations in the corpus
- Social Network Sites: Definition, History, and Scholarship (2007, neutral): “These kinds of data also lend themselves well to analysis through network visualization (Adamic, Büyükkökten, & Adar, 2003; Heer & boyd, 2005; Paolillo & Wright, 2005).”
- Detecting and Tracking Political Abuse in Social Media (2011, methodology): “Sankaranarayanan et al. (2009) developed an automated breaking news detection system based on the linking behavior of Twitter users, while Heer and boyd (2005) describe a system for visualizing and exploring the relationships between users in large-scale social media systems.”
- NodeTrix: a Hybrid Visualization of Social Networks (2007, background): “Finally, TreePlus [22] and Vizster [15] focus on a local representation of the network and use interaction to navigate within the whole dataset.”
- Network Visualization by Semantic Substrates (2006, background): “Meaningful groups of nodes can be formed by hand [32] or algorithmically [21] based on linking strength.”
- Interactive Visual Profiling of Musicians (2016, background): “The design of such visualizations is especially important for the exploration of online social networks [27, 31].”
- Truthy: mapping the spread of astroturf in microblog streams (2010, background): “and exploring the relationships between users in large-scale social media systems [23].”
- Empirical Studies in Information Visualization: Seven Scenarios (2012, neutral): “An example of field observation is the study of Vizster, a visualization for the exploration of online communities [31], where the authors observed usage in an “installation at a large party” where participants were free to use the developed tool.”
- A Survey of Visualization Systems for Network Security (2012, background): “The table accounts for the best practices of this emerging field.”
- Casual Information Visualization: Depictions of Data in Everyday Life (2007, background): “Vizster [22] creates node-link diagrams of social networks on the internet website Friendster ([20]).”
- Toward a Deeper Understanding of the Role of Interaction in Information Visualization (2007, methodology): “For example, in Vizster [21], hovering a mouse cursor over a node highlights directly connected nodes (friends) or neighbors of directly connected nodes (friends of friends).”
- Analyzing (social media) networks with NodeXL (2009, background): “Over the years there have been various efforts to provide flexible, interactive, and effective exploratory interfaces for network analysis [[11], [13]].”
- TUNES THAT BIND? (2009, background): “Zhang, Kunkel, Ledbetter, & Lin, 2007; Haythornthwaite, 2005; Haythornthwaite & Wellman,”
- prefuse: a toolkit for interactive information visualization (2005, background): “Vizster. Vizster [ 21 ] is a prefuse-built visualization of online social network services such as Friendster and Orkut (see Figure 4). It provides an ego-centric view of a person’s social network, presented using a force-directed layout.”
- Motivations for social networking at work (2008, background): “The research thus far on social network sites has been focused on four main aspects: privacy issues [1, 9, 14, 16, 21], self presentation [6, 7, 13, 24], network analysis [3, 18], and social capital benefits [10, 20].”
- MatrixExplorer: a Dual-Representation System to Explore Social Networks (2006, methodology): “These cluster indices are displayed in a transient mode, similar to vizster X-ray mode [20].”