Pajek
Developed by: Vladimir Batagelj, Andrej Mrvar
License: Free&Closed source
Web page : Tool homepage
Tool type : Application software
The last edition of this page was on: 2014/09/24
The Completion level of this page is : Low
The last edition of this page was on: 2014/09/24 The Completion level of this page is : Low
SHORT DESCRIPTION
[[has description::“Pajek (Slovene word for Spider) is a program, for Windows, for analysis and visualization of large networks. It is freely available, for noncommercial use, at its download page. See also a reference manual for Pajek (in PDF). The development of Pajek is traced in its History. See also an overview of Pajek's background and development.” (Pajek, sept. 22, 2014)
Pajek includes six data structures (e.g. network, permutation, cluster,...) and about 15 alorithms using these structures (e.g. partitions, decompositions, paths, flows...)]]
TOOL CHARACTERISTICS
Usability
Tool orientation
Data mining type
Manipulation type
IMPORT FORMAT :
EXPORT FORMAT :
Tool objective(s) in the field of Learning Sciences | |
☑ Analysis & Visualisation of data |
☑ Providing feedback for supporting instructors: |
Tool can perform:
- Data extraction of type:
- Transformation of type:
- Data analysis of type:
- Data visualisation of type: Sequential Graphic, Chart/Diagram (These visualisations can be interactive and updated in "real time")
ABOUT USERS
Tool is suitable for:
Required skills:
STATISTICS: None
PROGRAMMING: None
SYSTEM ADMINISTRATION: None
DATA MINING MODELS: Basic
FREE TEXT
Tool version : (blank line) Developed by : Vladimir Batagelj, Andrej Mrvar |
SHORT DESCRIPTION
“Pajek (Slovene word for Spider) is a program, for Windows, for analysis and visualization of large networks. It is freely available, for noncommercial use, at its download page. See also a reference manual for Pajek (in PDF). The development of Pajek is traced in its History. See also an overview of Pajek's background and development.” (Pajek, sept. 22, 2014)
Pajek includes six data structures (e.g. network, permutation, cluster,...) and about 15 alorithms using these structures (e.g. partitions, decompositions, paths, flows...)
TOOL CHARACTERISTICS
Tool orientation | Data mining type | Usability |
---|---|---|
This tool is designed for general purpose analysis. | This tool is designed for Social network analysis. | Authors of this page consider that this tool is rather easy to use. |
Data import format | Data export format |
---|---|
. | . |
Tool objective(s) in the field of Learning Sciences | |
☑ Analysis & Visualisation of data |
☑ Providing feedback for supporting instructors: |
Can perform data extraction of type:
Can perform data transformation of type:
Can perform data analysis of type:
Can perform data visualisation of type:
Sequential Graphic, Chart/Diagram (These visualisations can be interactive and updated in "real time")
ABOUT USER
Tool is suitable for: | ||||
Students/Learners/Consumers:☑ | Teachers/Tutors/Managers:☑ | Researchers:☑ | Organisations/Institutions/Firms:☑ | Others:☑ |
Required skills: | |||
Statistics: NONE | Programming: NONE | System administration: NONE | Data mining models: BASIC |
OTHER TOOL INFORMATION
pajek.png |
Free&Closed source |
Vladimir Batagelj, Andrej Mrvar |
http://pajek.imfm.si/doku.php |
[[has description::“Pajek (Slovene word for Spider) is a program, for Windows, for analysis and visualization of large networks. It is freely available, for noncommercial use, at its download page. See also a reference manual for Pajek (in PDF). The development of Pajek is traced in its History. See also an overview of Pajek's background and development.” (Pajek, sept. 22, 2014)
Pajek includes six data structures (e.g. network, permutation, cluster,...) and about 15 alorithms using these structures (e.g. partitions, decompositions, paths, flows...)]] |
General analysis |
Researchers |
None |
None |
None |
Basic |
Application software |
Social network analysis |
Data extraction, Data transformation, Data analysis, Data visualisation |
Sequential Graphic, Chart/Diagram |
rather easy to use |
Low |
Bibliography
- Batagelj V., Mrvar A.: Pajek - Program for Large Network Analysis, Connections 21(1998)2, 47-57 (presented at Sunbelt'97, preprint)
- Beauguitte Laurent et Pierre Mercklé (2011), « Analyse des réseaux : une introduction à Pajek», Quanti, mis en ligne le 6 juin 2011, URL : http://quanti.hypotheses.org/512