If we visualize versions of a dataset in a timeline, is this always a line or are there tree-like bifurcations?
I would tend to say they are like bunches that overlap a lot. They overlap more so or less so depending on your particular time T analysis slice.
Why do you only use the dimension of time? What about space? does it not or can it not play a role here?
datasets evolve nonlinearly rather than linearly; see examples:
Jiang B. and Miao Y. (2014), The evolution of natural cities from the perspective of location-based social media, The Professional Geographer, xx(xx), xx-xx, DOI: 10.1080/00330124.2014.968886, Preprint: http://arxiv.org/abs/1401.6756
Jiang B. (2015a), Head/tail breaks for visualization of city structure and dynamics, Cities, 43, 69-77, Preprint: http://arxiv.org/ftp/arxiv/papers/1501/1501.03046.pdf
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