CiteSpace Q&A GPT

The CiteSpace Q&A GPT, formerly called CiteSpace 101 GPT, is created to help you with conceptual and practical questions about CiteSpace.

https://chatgpt.com/g/g-Ga3Hw5XBp-citespace-q-a?model=gpt-4o

You may start your chat with one of the common questions about CiteSpace.

You may also ask questions about a specific function in CiteSpace. The answers would target users with different levels of experience such as beginners and advanced users.

You may upload a visualization created with CiteSpace and ask the GPT to identify key features when you interpret what you see.

It is also helpful to understand the implications of various metrics. For example, is the quality of clustering good enough?

It can also quote the original source, for example, from a recent presentation of mine.

The following example shows a timeline of milestones in the development of CiteSpace.

Give me a brief time line of milestones in the development of CiteSpace

Here's a concise timeline of key milestones in the development of CiteSpace, highlighting its conceptual and technical evolution:

🕰️ CiteSpace Development Timeline

2003 – Precursor Vision: StarWalker

• A 3D multi-user virtual environment called StarWalker explored early ideas of interacting with large-scale scholarly networks.

2004 – CiteSpace I

• First publication: "Searching for Intellectual Turning Points" in PNAS.

• Introduced core concepts like co-citation clusters and burst detection.

2006 – CiteSpace II

• Major theoretical advancement with dual-map overlays, research front/intellectual base distinction, and visual analytic principles.

2012 – Structural Variation Analysis (SVA)

• Introduced a predictive model to assess the transformative potential of newly published papers.

2017 – Science Mapping Framework

• Published a systematic review consolidating CiteSpace’s use in evolutionary domain analysis and science mapping.

2019 – Cascading Expansion and Field-Level Mapping

• Methodology refined for systematic scientometric reviews of large-scale fields.

2020–2023 – AI and GPT Integration

• Early experiments with AI-assisted cluster labeling using NLP techniques.

2024–2025 – GPT-Enhanced Cluster Summarization

• Full integration of GPT-4 and later GPT-4o, offering context-aware summaries, refined cluster labels, and narrative reviews directly from CiteSpace UI.

This progression reflects a shift from static visualization to dynamic, AI-augmented meta-knowledge synthesis—turning CiteSpace into not just a mapping tool, but a scholarly thinking partner. Would you like this rendered into a graphical timeline?

The list of the milestones is more accurate than the graphical timeline. For example, StarWalker was published prior to the PNAS publication on CiteSpace. CiteSpace II was published in 2006 instead of 2004.

Overall, it is not 100% accurate, but it is on the right track most of the time. It should be helpful while you are waiting for an answer from me, especially if you are in a different time zone.

Please feel free to let me know your feedback. The more we use it, the better it will adapt.