Biases are “baked into” the network

Keywords: About science as an activity, News

Once the network is created, you can no longer control for them or even “see” them in the network data. If two individuals are highly associated or never associated, it won’t be clear why from the network itself. For example, an association rate of 100% or 0% could be based on 500 observations or just five. That is, the precision of each edge is typically not “visible” in the network data because, when using typical approaches, an edge weight is a summary statistic like the mean or sum of contacts.

https://socialbat.org/2021/11/20/new-paper-on-analyzing-observations-for-creating-animal-social-networks

Complexity — It’s Complicated … to do Things Right (rather than simply quick + easy — including complex / “advanced” search + networking plans + projects)

The expression “it’s complicated” is perhaps the quintessential embodiment of the kind of insight we need more of now – more than ever. We need to say goodbye to “one right way” and we need to say hello to diversity, variations from norms and differentiation in algorithms.

http://remediary.com/2019/12/25/automatism-automaticity-lets-do-this-right