Dimensions and Adding Network Layers

[Liam Hourigan]

Hi Dr Chen,

Thank you for continuing to educate and be supportive of CiteSpace users.

I've taken your previous recommendations towards layering review and non-review networks into account. Following from that, I intend to generate another network using cascading citation expansion and follow some of the analyses you undertook in "Visualizing a field of research: A methodology of systematic scientometric reviews".

In this article you generate a list of core articles from your overall dataset using dimensions GCS and LCS scores. I was wondering if you could provide any further guidance on this process?

Also, is there some way a network layer could be generated for, or in some other way of highlight, articles with high centrality? Would this be a useful lens for visualization considering high centrality article can be considered part of the intellectual backbone?

Thanks,
Liam

[Chaomei Chen]

Thank you for your interest. In our article you mentioned above, you can find a few scenarios of use. You can start with a good review article as the seed and do the expansion from there.

High centrality nodes are shown in CiteSpace with purple rings. The thickness of the ring is proportional to the strength of the centrality. These nodes indicate "intellectual bridges/gateways" or "turning points" or "pivotal points" as I called them in my earlier publications. They are likely the points where different topics connect.