GUESS: a language and interface for graph exploration
By Eytan Adar. 2006
256 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Nathalie Henry Riche
- Michael J. McGuffin
- Jean-Daniel Fekete
- Natasa Milic-Frayling
- Marc A. Smith
- Eduarda Mendes Rodrigues
- Amir Hussain
- Barry Wellman
In Computer Vision and Pattern Recognition
- Jean-Daniel Fekete
- Nathalie Henry Riche
- Michael J. McGuffin
- Tommaso Venturini
- Mathieu Jacomy
- Sebastien Heymann
- Mathieu Bastian
- Ben Shneiderman
In Statistical and Nonlinear Physics
- Jean-Daniel Fekete
- Tommaso Venturini
- Michael J. McGuffin
- Mathieu Jacomy
- Sebastien Heymann
- Mathieu Bastian
- Nathalie Henry Riche
- Natasa Milic-Frayling
Citations in the corpus
- ForceAtlas2, a Continuous Graph Layout Algorithm for Handy Network Visualization Designed for the Gephi Software (2014, methodology): “Three reference softwares inspired us: Pajek [3], GUESS [4] and TouchGraph.”
- Analyzing (social media) networks with NodeXL (2009, methodology): “Researchers have created toolkits from sets of network analysis components not limited to R and the SNA library, JUNG, Guess, and Prefuse [[2], [12], [15]].”
- Gephi: An Open Source Software for Exploring and Manipulating Networks (2009, background): “In the aim of understanding networks, the visualization of large graphs has been developed for many years in many successful projects (Batagelj 1998; Shannon 2003; Adar 2006).”
- Visualizing Personal Networks: Working with Participant-aided Sociograms (2007, methodology): “[A] Arrangement of ties [B] Drawing of strong ties, cliques first, followed by edges [C] Drawing of somewhat close ties, cliques first followed by edges [D] Graph as coded and represented using the GUESS Network Visualization software (Adar, 2006).”
- Agent-based computing from multi-agent systems to agent-based models: a visual survey (2011, methodology): “ domain using the specific strengths, central to the NWB tool, we extracted the top nodes with an arbitrary number of local citation count > 20. Subsequently the network was visualized using GUESS(Adar 2006) and nodes were resized according to the values of the citation count. The result can be o”
- NodeTrix: a Hybrid Visualization of Social Networks (2007, methodology): “This process is based on starting with an overview of the whole network and then, using interaction (MatrixExplorer [16]) or simple scripts (Guess [2]), manipulating the dataset (e.”
- Structure and dynamics of molecular networks: A novel paradigm of drug discovery: A comprehensive review (2012, background): “…& North, 2000 Gridlayout http://kurata21.bio.kyutech.ac.jp/grid/grid_layout.htm Li & Kurata, 2005 Guess http://graphexploration.cond.org/index.html Adar, 2006 Hive Plots http://www.hiveplot.com Krzywinski et al., 2012 Hybridlayout http://www.cadlive.jp/hybridlayout/hybridlayout.html Inoue et al.,…”