Exploratory Social Network Analysis with Pajek

By W. D. Nooy, Andrej Mrvar, V. Batagelj. 2005

926 citations recorded by the source corpus.

Subfields: Communication, Sociology and Political Science, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/23fa89ae96d9f1b3f07b2ac64e576a1f6c8d7588

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Communication

1. M. Shafique
2. Andrew Stirling
3. Loet Leydesdorff
4. Ludo Waltman
5. Ismael Rafols
6. Caroline S. Wagner
7. Marta Marsilio
8. Nees Jan van Eck

In Sociology and Political Science

1. Javier A. Reyes
2. C. Sazima
3. M. Shafique
4. Andrew Stirling
5. Paulo Roberto Guimaraes Jr.
6. Loet Leydesdorff
7. Ludo Waltman
8. Ismael Rafols

In Statistical and Nonlinear Physics

1. Ludo Waltman
2. Nees Jan van Eck
3. Ismael Rafols
4. Loet Leydesdorff
5. Stefano Schiavo
6. Javier A. Reyes
7. Giorgio Fagiolo
8. Caroline S. Wagner

Citations in the corpus

• Software survey: VOSviewer, a computer program for bibliometric mapping (2009, methodology): “A popular computer program in which both techniques are implemented is Pajek (De Nooy et al. 2005).”
• Thinking inside the box? Intellectual structure of the knowledge base of innovation research (1988–2008) (2013, methodology): “13 The network was created by using network analysis software Pajek® 1.27 (de Nooy, Mrvar, and Batagelj, 2005).”
• The evolution of the world trade web: a weighted-network analysis (2010, background): “5( w ij + w ji )), see De Nooy et al. (2005). nearly identified with OECD members.”
• The Global Arms Trade Network 1950-2007 (2012, methodology): “We use the Kamada-Kawai method of energising the data for the layouts as this seems to produce more stable results than for instance the Fruchterman Reingold energy command; see de Nooy et al. (2005). 6”