Project variables
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Diva keeps all variables and results in the project variable which is a MATLAB structure. The empty project variable is created by the mfile project_cmd('new') when a project is created in DIVA.
The first level of the project variable are described below:
project.map
This variable holds the map structures that contain the information for timelines and 2D maps. The current map structure is selected on TFGUI in the MAP section.
project.connect
This variable holds the link strucures used to draw links on maps. The current link structure is selected on TFGUI in the CONNECTIONS section.
project.database
This variable contains the ODBC link name to the project database.
project.dragmode
A utility variable that determines what happens when the mouse is used in the map plot area.
project.group
This variable holds the structures for selected groups of papers on the map. The current selected group structure is selected on TFGUI in the CLUSTERS section.
project.patentnumber
This variable holds the keys for papers that are being mapped (see project.map structure).
project.name
The project name. (Maybe not used anymore.)
project.date
Contains the publication dates, in MATLAB date format, of mapped papers.
project.currentgroup
Utility variable for selection of groups of papers on the map. Maybe not used anymore.
project.raw
Contains the raw entity to entity matrices downloaded from database. A paper to reference database must be loaded.
project.bib
The bibliographic coupling clustering structure.
project.web
The folder for writing project web pages.
project.freq
Holds counts of times cited for mapped papers.
project.coc
Holds the cocitation clustering structure.
project.ap_r
Holds the co-authorship clustering structure.
project.ar_p
Holds the author cocitation clustering structure.
projet.jr
Holds the journal cocitation clustering structure.
project.jp_jp
Holds the journal coupling clustering structure.
project.id_p
Holds the ID terms cooccurrence clustering structure.
project.de_p
Holds the DE terms cooccurrence clustering structure.
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