{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T01:53:59Z","timestamp":1760234039203,"version":"build-2065373602"},"reference-count":53,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2021,3,8]],"date-time":"2021-03-08T00:00:00Z","timestamp":1615161600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Project of University of Catania PIACERI, 253 PIAno di inCEntivi per la Ricerca di Ateneo","award":["n.a."],"award-info":[{"award-number":["n.a."]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["BDCC"],"abstract":"<jats:p>The provision of wellness in workplaces gained interest in recent decades. A factor that contributes significantly to workers\u2019 health is their diet, especially when provided by canteen services. The assessment of such a service involves questions as food cost, its sustainability, quality, nutritional facts and variety, as well as employees\u2019 health and disease prevention, productivity increase, economic convenience vs. eating satisfaction when using canteen services. Even if food habits have already been studied using traditional statistical approaches, here we adopt an approach based on Network Science that allows us to deeply study, for instance, the interconnections among people, company and meals and that can be easily used for further analysis. In particular, this work concerns a multi-company dataset of workers and dishes they chose at a canteen worksite. We study eating habits and health consequences, also considering the presence of different companies and the corresponding contact network among workers. The macro-nutrient content and caloric values assessment is carried out both for dishes and for employees, in order to establish when food is balanced and healthy. Moreover, network analysis lets us discover hidden correlations among people and the environment, as communities that cannot be usually inferred with traditional or methods since they are not known a priori. Finally, we represent the dataset as a tripartite network to investigate relationships between companies, people, and dishes. In particular, the so-called network projections can be extracted, each one being a network among specific kind of nodes; further community analysis tools will provide hidden information about people and their food habits. In summary, the contribution of the paper is twofold: it provides a study of a real dataset spanning over several years that gives a new interesting point of view on food habits and healthcare, and it also proposes a new approach based on Network Science. Results prove that this kind of analysis can provide significant information that complements other traditional methodologies.<\/jats:p>","DOI":"10.3390\/bdcc5010011","type":"journal-article","created":{"date-parts":[[2021,3,8]],"date-time":"2021-03-08T04:01:25Z","timestamp":1615176085000},"page":"11","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["A Network-Based Analysis of a Worksite Canteen Dataset"],"prefix":"10.3390","volume":"5","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1671-840X","authenticated-orcid":false,"given":"Vincenza","family":"Carchiolo","sequence":"first","affiliation":[{"name":"Dipartimento di Matematica e Informatica, Universit\u00e1 degli Studi di Catania, I95125 Catania, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5841-6058","authenticated-orcid":false,"given":"Marco","family":"Grassia","sequence":"additional","affiliation":[{"name":"Dipartimento di Ingegneria Elettrica, Elettronica e Informatica, Universit\u00e1 degli Studi di Catania, I95125 Catania, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9898-8808","authenticated-orcid":false,"given":"Alessandro","family":"Longheu","sequence":"additional","affiliation":[{"name":"Dipartimento di Ingegneria Elettrica, Elettronica e Informatica, Universit\u00e1 degli Studi di Catania, I95125 Catania, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9279-3129","authenticated-orcid":false,"given":"Michele","family":"Malgeri","sequence":"additional","affiliation":[{"name":"Dipartimento di Ingegneria Elettrica, Elettronica e Informatica, Universit\u00e1 degli Studi di Catania, I95125 Catania, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6910-0112","authenticated-orcid":false,"given":"Giuseppe","family":"Mangioni","sequence":"additional","affiliation":[{"name":"Dipartimento di Ingegneria Elettrica, Elettronica e Informatica, Universit\u00e1 degli Studi di Catania, I95125 Catania, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,3,8]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Ni Mhurchu, C., Aston, L.M., and Jebb, S.A. 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