A general stochastic model for studying time evolution of transition networks is a research paper published in Physica A: Statistical Mechanics and its Applications (2016). On theSindex it has a DataRank of 0.884. It has been cited 16 times, with 10 citing works in its 1-hop citation network.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full — never from an abstract alone.
Base Score Contribution
0.425
From this paper's citation signal
Citation Network Contribution
0.459
From 8 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 10 citers.
Hong Kong Polytechnic University Grant
Grant: G-YBAT