{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,11]],"date-time":"2026-06-11T05:01:25Z","timestamp":1781154085930,"version":"3.54.1"},"reference-count":26,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,6,11]],"date-time":"2026-06-11T00:00:00Z","timestamp":1781136000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Sociol."],"abstract":"<jats:sec>\n                    <jats:title>Introduction<\/jats:title>\n                    <jats:p>The data protocol presented here stems from a study investigating the role of social networks in shaping health-risk behaviors in a small Lombard municipality (Italy) characterized by typical sociodemographic features.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A quantitative survey was conducted on all residents aged 18\u201375, complemented by detailed mapping of intra- and extra-community social ties. Data collection employed structured questionnaires covering sociodemographics, health-risk behaviors, and social relationships, ensuring high data reliability as confirmed by comparison with official ISTAT statistics. Face-to-face interviews, combined with careful ethical procedures and respondent incentives, facilitated participation and minimized bias.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The research achieved 578 interviews, representing a 66.3% response rate among eligible residents.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Discussion<\/jats:title>\n                    <jats:p>The study demonstrates the feasibility of reconstructing comprehensive social networks in small communities, providing a robust empirical contribution for analyzing the clustering and transmission of health-risk behaviors. The data collected could offer valuable insights for targeted public health interventions aimed at improving health outcomes and reducing inequalities.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fsoc.2026.1743234","type":"journal-article","created":{"date-parts":[[2026,6,11]],"date-time":"2026-06-11T04:37:03Z","timestamp":1781152623000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["A dataset of a whole network to investigate healthy and unhealthy behaviors in an Italian Community"],"prefix":"10.3389","volume":"11","author":[{"given":"Simone","family":"Sarti","sequence":"first","affiliation":[{"name":"Universit\u00e0 degli Studi di Milano","place":["Milan, Italy"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marco","family":"Terraneo","sequence":"additional","affiliation":[{"name":"Universit\u00e0 degli Studi di Milano-Bicocca","place":["Milan, Italy"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David","family":"Consolazio","sequence":"additional","affiliation":[{"name":"Universit\u00e0 degli Studi di Milano","place":["Milan, Italy"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2026,6,11]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"14753","DOI":"10.1038\/ncomms14753","article-title":"Exercise contagion in a global social network","volume":"8","author":"Aral","year":"2017","journal-title":"Nat. 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