Breathe ...
[This may need some adjustment for best results] Resolution. This parameter determines the level of detail of the clustering produced by the VOS clustering technique. The parameter must have a nonnegative value. The higher the value of the parameter, the larger the number of clusters produced by the VOS clustering technique. We recommend to try out different values for the Resolution parameter and to 24 use the value that yields the most appropriate level of detail for one’s purposes.
Running a Keyword Co-Occurance analysis
When exporting data from Web of Science, make sure that the Web of Science Core Collection database is selected. We recommend to use the so-called classic version of Web of Science, since this version offers more extensive possibilities for exporting data than the new version that was introduced recently. To go to the classic version of Web of Science, choose the Products option followed by the Web of Science (Classic) option. To export data in the classic version of Web of Science, choose the Export option followed by Other File Formats option, and choose either the Plain Text or the Tab-delimited file format. Although VOSviewer supports both file formats, we recommend the use of the tab-delimited format. When asked which data elements to download, choose the Full Record and Cited References option. Downloading cited reference data is necessary for identifying citation, bibliographic coupling, and co-citation links between items.
Scopus can be accessed at www.scopus.com. A subscription is required. To export data from Scopus, choose the CSV export option. (Do not choose the Download option!) Make sure that the data is exported in a CSV file and that all data elements are included.
PubMed can be accessed at https://pubmed.ncbi.nlm.nih.gov/. To export data from PubMed, choose the Save option and the PubMed format. **Data exported from PubMed cannot be used for identifying citation, bibliographic coupling, and cocitation links between items**. Hence, when working with PubMed data, some options in the Create Map wizard will not be available
To facilitate working with 31 data exported in multiple batches, VOSviewer offers the possibility to create a map based on data from multiple files. The files must all be from the same data source. Combining data from different data sources is not possible. If there are duplicate documents in the data provided as input to VOSviewer, the documents will automatically be deduplicated.
VOSviewer supports three types of reference manager files: RIS files, EndNote files, and RefWorks files.
Data from reference manager files **cannot be used for identifying citation, bibliographic coupling, and co-citation links between items**.
When a map is created based on bibliographic data or text data, there often is a need to perform data cleaning. A VOSviewer thesaurus file can be used for this purpose.
When creating a map based on bibliographic data, a VOSviewer thesaurus file can be used to merge different variants of a source title, an author name, an organization name, a country name, or a cited reference.
p. 34-35 VOSviewer manual: I will select "full counting" since I don't see any point in reducing the coupling by the number of authors. If an author has written, no matter how may co authors, they are still coupled. This does increase the influence of particular papers but this might be ok if I am interested in particular authors. I don't really see the point of giving single authored articles preference.
Bigger names indicate that more authors have cited this paper
Incorrect because lines go from a past paper to new papers so I am unsure what the lines indicate: More lines out from a name indicate the papers that this papers has referenced, that mention presence
All names included in this graph have explicitely stated presence in VR as a key concept in their research.
Inclusion in the list does not imply that presence was central, measured, nor well defined. Only that it was mentioned in the abstract and/or the title and/or the author keywords
Looks like WoS includes Medline (need to check)
WoS Download 500 at a time
Select "Save to other file formats"
Under "Number of records" select "Records" and enter numbers 1-500
Under "Record content", select "Full record and cited references"
Under "File format", select "Tab-delimited (Win)" option
Then select "Send"
NB: Select "co-citation" and "sources"
Items = are the objects of interest. Items may for example be publications, researchers, or terms. A map normally includes only one type of item
link = is a connection or a relation between two items. A map normally includes only one type of link. Also, between any pair of items, there can be no more than one link. Each link has a strength, represented by a positive numerical value. The higher this value, the stronger the link .
VOSviewer then does not show the strength of a link.
network = is a set of items together with the links between the items
cluster = is a set of items included in a map.2 Clusters are non-overlapping in VOSviewer. In other words, an item may belong to only one cluster. Clusters do not need to exhaustively cover all items in a map. Hence, there may be items that do not belong to any cluster. Clusters are labeled using cluster number.
Attributes = Items may have various attributes in VOSviewer. If items have been assigned to clusters, cluster numbers are an example of an attribute. Of special importance are the weight and score attributes. These attributes are represented by numerical values.
weight attribute = of an item should in some way indicate the importance of the item
Links attribute = the number of links of an item with other items
Total link strength attribute = total strength of the links of an item with other items
custom weight attribute =
score attribute = may indicate any numerical property of items
However, since weight attributes are already used to indicate the importance of items, it is recommended to use score attributes to indicate other properties. Score attributes are considered only in the overlay visualization of a map (see Subsection 3.1.2), not in the network visualization and the density visualization
Items may have multiple weight and multiple score attributes
NETWORK VISUALISATION
The color of an item is determined by the cluster to which the item belongs
Lines between items represent links. By default, at most 1000 lines are displayed, representing the 1000 strongest links between items
The distance between two journals in the visualization approximately indicates the relatedness of the journals in terms of co-citation links
OVERLAY VISUALISATION
The overlay visualization is identical to the network visualization except that items are colored differently. Items can be coloured in 2 ways:
If items have scores, the color of an item is determined by 10 the score of the item, where by default colors range from blue (lowest score) to green to yellow (highest score)
items have user-defined colors (specified using the red, green, and blue columns in a VOSviewer map file), the color of an item is determined by the user-defined color of the item. If items have neither scores nor user-defined colors, the overlay visualization is not available
DENSITY VISUALISATION
Item Density = Each point in the item density visualization has a color that indicates the density of items at that point.
Cluster density = The cluster density visualization is similar to the item density visualization except that the density of items is displayed separately for each cluster of items.
Searched and deleted all articles that used "presence of" (would have deleted some useful articles) - removed about 2600 articles
Searched and deleted all article titles and abstracts with "augmented" (would have deleted some useful articles) - removed about 600 articles
"presence hallucinations" needed to be removed
Occasionally, some article abs and ti do not include "presence" but it is included in key words.
Need to exclude retractions
No duplicates found