Beyond scale-free networks: integrating multilayer social networks with molecular clusters in the local spread of COVID-19
Kayo Fujimoto, Jacky Kuo, Guppy Stott, Ryan Lewis, Hei Kit Chan, Leke Lyu, Gabriella Veytsel, Michelle Carr, Tristan Broussard, Kirstin Short, Pamela Brown, Roger Sealy, Armand Brown, Justin Bahl · 2023
Read Beyond scale-free networks: integrating multilayer social networks with molecular clusters in the local spread of COVID-19 by Kayo Fujimoto, Jacky Kuo, Guppy Stott, Ryan Lewis, Hei Kit Chan, Leke Lyu, Gabriella Veytsel, Michelle Carr, Tristan Broussard, Kirstin Short, Pamela Brown, Roger Sealy, Armand Brown, Justin Bahl (2023) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-10710469.txt.
Description
Kayo Fujimoto and co-authors test network assumptions behind local COVID spread in Houston in a 2023 study. Outbreak models often assume social networks are scale free, with a few huge hubs driving spread. The team built genome informed networks from contact and shared housing data for Delta variant clusters, then fit several distribution shapes to the connection counts.
A pure power law failed its fit test at first. Once social ties were folded in, it matched or beat rival shapes like exponential and log normal. The verdict is mixed by design, both hub driven and even spread mechanisms seem at work in local transmission. Finer network pictures should guide local control measures.
Catalog record
| CREATOR | Kayo Fujimoto, Jacky Kuo, Guppy Stott, Ryan Lewis, Hei Kit Chan, Leke Lyu, Gabriella Veytsel, Michelle Carr, Tristan Broussard, Kirstin Short, Pamela Brown, Roger Sealy, Armand Brown, Justin Bahl |
|---|---|
| YEAR | 2023 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 61 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |