How networks of ecological interactions are structured has a major impact on their functioning. However, accurately resolving both the nodes of the webs and the links between them is fraught with difficulties. We ask whether the new resolution conferred by molecular information changes perceptions of network structure. To probe a network of antagonistic interactions in the High Arctic, we use two complementary sources of molecular data: parasitoid DNA sequenced from the tissues of their hosts and host DNA sequenced from the gut of adult parasitoids. The information added by molecular analysis radically changes the properties of interaction structure. Overall, three times as many interaction types were revealed by combining molecular information from parasitoids and hosts with rearing data, versus rearing data alone. At the species level, our results alter the perceived host specificity of parasitoids, the parasitoid load of host species, and the webwide role of predators with a cryptic lifestyle. As the northernmost network of host-parasitoid interactions quantified, our data point exerts high leverage on global comparisons of food web structure. However, how we view its structure will depend on what information we use: compared with variation among networks quantified at other sites, the properties of our web vary as much or much more depending on the techniques used to reconstruct it. We thus urge ecologists to combine multiple pieces of evidence in assessing the structure of interaction webs, and suggest that current perceptions of interaction structure may be strongly affected by the methods used to construct them.trophic interaction | Hymenoptera | Lepidoptera | DNA barcode H ow networks of ecological interactions are structured has major implications on how they function (1), how they react to external stressors (2, 3) and how they return to their original state after disturbance (4, 5). Quantitative descriptions of who interacts with whom (e.g., refs. 6 and 7) may then be used to formulate testable hypotheses for basic questions concerning, for example, the fundamental strength of indirect interactions (8, 9), or how a community will respond to invasive species, habitat modification, or climate change (e.g., refs. 10-14). In applied biology, quantifications of interaction structure have increasingly been used to examine the success of, for example, habitat restoration and management, the biological control of pests, and the conservation of biodiversity (6). Global comparisons of food web structure are underway, comparing the linking structure of local webs described from different latitudes with highly different species richness (15, 16).To encapsulate the emergent properties of large networks of interactions, a set of quantitative descriptors has been proposed (e.g., refs. 2, and 17-19) and widely adopted (e.g., refs. 11 and 20-22). Commonly used metrics summarize the specialization of species at different trophic levels, such as the average number of species at a lower trophic level interacting with ea...