Graph clustering
By Satu Elisa Schaeffer. 2007
666 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
- Darko Hric
- Muhammad Farooq Khan Niazi
- Symeon Papadopoulos
- Yiannis Kompatsiaris
- Athena Vakali
- Martin Palecek
- Anil V. Parwani
- Leo Liberti
In Computer Vision and Pattern Recognition
- Darko Hric
- Muhammad Farooq Khan Niazi
- Symeon Papadopoulos
- Yiannis Kompatsiaris
- Athena Vakali
- Martin Palecek
- Anil V. Parwani
- Leo Liberti
In Statistical and Nonlinear Physics
- Darko Hric
- Martin Palecek
- Leo Liberti
- Symeon Papadopoulos
- Yiannis Kompatsiaris
- Athena Vakali
- Ploutarchos Spyridonos
- Santo Fortunato
Citations in the corpus
- Community detection in graphs (2009, neutral): “(Danon et al., 2007; Fortunato and Castellano, 2009; Newman, 2004a; Porter et al., 2009; Schaeffer, 2007)).”
- Community detection in Social Media (2012, methodology): “In addition, Schaeffer (2007) presents a generic overview of graph clustering, which can be considered as equivalent to community detection.”
- Modularity of Mind (2017, methodology): “There are a number of methods of testing this kind of modularity (Boccaletti et al. 2006; Fortunato 2010; Reijneveld et al. 2007; Schaeffer 2007).”