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Description: Background. Schizotypy is a set of traits that, at high levels, shows similarity with schizophrenia at various levels of analysis. Modelling the structure of schizotypy with complex networks offers novel insight into the extended psychosis phenotype. It is generally agreed that schizotypy is multidimensional, however, it is still debated whether affective dysregulation and impulsivity should be incorporated into theories and measurement of schizotypy. Methods. To estimate the network structure of schizotypy, we used data from participants recruited from the community (N = 11807) who completed the short version of the Oxford-Liverpool Inventory of Feelings and Experiences, a widespread self-report instrument that assesses the positive, negative, disorganised and impulsive domains of schizotypy. We examined the stability of the network. We performed module detection, then examined differences between modules in terms of centralities and compared the strength of edges within and between modules. Results. The estimated network was highly stable. An algorithm optimised for modularity segmented the network into modules that almost perfectly corresponded to the a priori defined subscales. Items in the disorganisation module had higher closeness centrality relative to items in the other modules, implicating that elevated disorganisation can predict more pronounced schizotypy in all the other domains (and vica versa). Conclusions. Our findings imply that the inclusion of affective dysregulation and impulsivity does not dilute the structural separation of positive, negative and disorganised schizotypy. The high closeness centrality of disorganisation concurs with classical theories positing that cognitive slippage and associative loosening are primary core features of the schizophrenic phenotype.