Semantic mapping reveals distinct patterns in descriptions of social relations in adults with autism spectrum disorder.

The team asked adults with and without autism to describe people close to them. They turned each description into a word-web and counted the links.

Fewer links mean looser, less rich social pictures. The method needs only spoken or typed words—no extra tests.

Adults with autism built sparser webs. Their words had fewer neighbor-to-neighbor ties and lacked the tight 'small-world' pattern seen in controls.

A computer could tell which group a person belonged to just from the web shape.

Healy et al. (2018) also mapped social thinking in autism, but used repertory grids with teens. Both studies show people with autism can share social ideas when given the right format—spoken words here, visual grids there.

Fründt et al. (2018) found no white-matter damage in the mirror-neuron tract, and Xu et al. (2020) saw only subtle middle-temporal hypoconnectivity. Together these papers push us away from simple 'broken social brain' stories and toward finer markers like language web density.

Hamama et al. (2021) created a self-report mind-reading scale for adults. Their tool and the word-web approach both give quick, low-cost snapshots of social cognition in clinic or telehealth settings.

You already collect language samples for pragmatics goals. Run them through free network software and you gain an extra data line: web density. A sparse web can flag adults who need deeper social cognition support, even if they speak fluently. No extra client time, no new kits to buy.