The validity of pairwise models in predicting community dynamics is a research paper. On theSindex it has a DataRank of 0.520. It has been cited 3 times, with 3 citing works in its 1-hop citation network.
Abstract Pairwise models are commonly used to describe many-species communities. In these models, a focal species receives additive fitness effects from pairwise interactions with other species in the community (“pairwise additivity assumption”), and all pairwise interactions are represented by a single canonical equation form (“universality assumption”). Here, we analyze the validity of pairwise modeling. We build mechanistic reference models for chemical-mediated interactions in microbial communities, and attempt to derive corresponding pairwise models. Even when one species affects another via a single chemical mediator, different forms of pairwise models are appropriate for consumable versus reusable mediators, with the wrong model producing qualitatively wrong predictions. For multi-mediator interactions, a canonical model becomes even less tenable. These results, combined with potential violation of the pairwise additivity assumption in communities of more than two species, suggest that although pairwise modeling can be useful, we should examine its validity before employing it.
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
Base Score Contribution
0.208
From this paper's citation signal
Citation Network Contribution
0.312
From 3 citing papers with measurable signal
DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 40% comes from its base citations and 60% from the citation network (3 citing papers contributed measurable signal).
Citers are pulled from OpenAlex sorted by cited_by_count:descand capped per paper, so when the cap binds we keep the highest-signal references and the score is reproducible across reruns.
Click a node to highlight its connections. Use scroll to zoom. Drag to pan.