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A sample of 922 health-related apps (including manufacturers' apps and developers) were collected through snowball sampling after an initial content analysis from a Google search for fitness tracking devices.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Findings<\/jats:title><jats:p>The network of fitness apps is disassortative with high-degree nodes connecting to low-degree nodes, follow a power-law degree distribution and present with low community structure. Information spreads faster through the network than an artificial small-world network and fastest when nodes with high degree centrality are the seeds.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Practical implications<\/jats:title><jats:p>This capability to spread information holds implications for both intended and unintended data sharing.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title><jats:p>The analysis confirms and supports evidence of widespread mobility of data between fitness and health apps that were initially reported in earlier work and in addition provides evidence for the dynamic diffusion capability of the network based on its structure. The structure of the network enables the duality of the purpose of data sharing.<\/jats:p><\/jats:sec>","DOI":"10.1108\/itp-12-2021-0948","type":"journal-article","created":{"date-parts":[[2022,8,22]],"date-time":"2022-08-22T01:56:12Z","timestamp":1661133372000},"page":"311-329","source":"Crossref","is-referenced-by-count":5,"title":["The structure and information spread capability of the network formed by integrated fitness apps"],"prefix":"10.1108","volume":"35","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5732-2428","authenticated-orcid":false,"given":"Euodia","family":"Vermeulen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sara","family":"Grobbelaar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"140","published-online":{"date-parts":[[2022,8,22]]},"reference":[{"key":"key2022121205515334000_ref001","volume-title":"Data Mining: The Textbook","year":"2015"},{"issue":"1","key":"key2022121205515334000_ref002","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1186\/s12910-016-0153-x","article-title":"Public responses to the sharing and linkage of health data for research purposes: a systematic review and thematic synthesis of qualitative studies","volume":"17","year":"2016","journal-title":"BMC Medical Ethics"},{"key":"key2022121205515334000_ref003","unstructured":"Alberto, A., Alex, M. and Marco, S. 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