Great - can you make it a little less abstract, explaining that a node is a person and an edge is an infection? And that a tree is an infection pathway from one individual to the many others that they infect?
Do trees ever connect? Can one person be infected by two people (over time)?
I don't understand this bit.
Which known visualization idiom / idea / method did you apply to solve the problem ... and are using as the basis for your reflection?
Can you clarify?
You list this paper in the spreadsheet:
@ARTICLE{8580419,
author={Simonetto, Paolo and Archambault, Daniel and Kobourov, Stephen},
journal={IEEE Transactions on Visualization and Computer Graphics},
title={Event-Based Dynamic Graph Visualisation},
year={2020},
volume={26},
number={7},
pages={2373-2386},
doi={10.1109/TVCG.2018.2886901}}, @inproceedings {10.2312:evs.20211063,
booktitle = {EuroVis 2021 - Short Papers},
editor = {Agus, Marco and Garth, Christoph and Kerren, Andreas},
title = {{A Multilevel Approach for Event-Based Dynamic Graph Drawing}},
author = {Arleo, Alessio and Miksch, Silvia and Archambault, Daniel},
year = {2021},
publisher = {The Eurographics Association},
ISBN = {978-3-03868-143-4},
DOI = {10.2312/evs.20211063}
}
I would remove GMap is possible and use your GMAp descriptions and reflections in the notebook listed above to retain the idiom focus. Otherwise, this is two idioms.
This is an important section as it lets readers see how the approach has been used in other contexts and might apply to their own ... so please populate it!
Just to add a comment - Visual Benchmarks would work well here to achieve some visual persistence:
Harrower, M. A. (2002) Visual Benchmarks: Representing geographic change with map animation. Ph.D. thesis, The Pennsylvania State University. PhD Thesis
They are used here, for example:
https://www.tandfonline.com/doi/full/10.1080/17445647.2012.668411
Can you explain somewhere (above) that space-time cubes and time-slices are - I don't think we can assume this knowledge for a general scientific audience with which we are trying to engage.
Good evidence of impact on model building and development (bullet 3) ... but unfortunately having read this reader has any idea how you did this with visualization. CAN YOU SHOW US!!
It's very abstract and "graph-theoretic metrics" have not been mentioned elsewhere. These documents are intended to be read independently of other information and it's quite hard to make sense of this one!
There's obviously some good work and good experience in here, but a lack of focus, and with no focus and no visuals it's really hard to get a sense of what you did and how you know what you claim.
Needs work in my view. Happy to chat!
The focus on dynamic seem pretty weak to me - I'd love to see this strengthened and demonstrated. Reflective statements are useful but few relate to the dynamic side of things (layout, bias - all fine, important, but not about or seemingly emergent from the idiom!).
Is this different to this one - how do they compliment one another?
https://observablehq.com/@kaimdx/rampvis-idiom-gmap
Can you call it DynoSlice? That seems to be the thing that you are using and testing and commenting on. Note that GMap is described here: https://observablehq.com/@kaimdx/rampvis-idiom-gmap
Maybe the GMap thinking could be added there?
Exciting! Nice examples, nice reflection - gives us some good “data”.
This is a big improvement, but I make a few suggestions that may help further.
One is to focus on DynNoSlice and use the GMap stuff to consolidate Kai’s GMap idiom.
See comments!
We are trying to cast this as three perspectives (GMap, DynNoSlice, Colour to Time) as offering complimentary views of a data set. We will try to clarify.
GMaps are covered in a GMap notebook - could you use the GMap description and reflection in there instead?
DynNoSlice seems to be a good focus here, but can you translate the description into non-VIS language? I didn't understand the twitter example (and I may not be the only one): "However, many data sets have time coordinates associated with each edge (a Twitter post occurs at a particular time)." What is the edge here? What is the node? I think you are assuming that I know this, and I don't. Maybe add a sentence?