What is affiliation coherence? This export has no ORCID or email — authors are
merged into one node using name and affiliation text only. A common name (e.g. "Ming Zhang") can
belong to several unrelated real people, who then get wrongly merged into a single node. Affiliation
coherence checks whether that node's affiliation strings actually describe the same institution
(allowing for wording drift like "&" vs "and", or minor typos) — if they do, it's very likely one
real, prolific person; if they don't overlap at all, it's likely a homonym pileup of different people.
It's the average pairwise word-overlap across all of a node's recorded affiliation strings, shown below
as a percentage.
High (~100%): Chris Zielinski — one consistent affiliation across 12 journals → real person.
Low (~2%): "Ming Zhang" — 18 completely unrelated affiliations → almost certainly several different people.