| Complexity | Complex Systems, Network Science, Emergence, Origin of Life, StatPhys |
| Information | Entropy, computing, self-organization |
| Network Medicine | Interactome, Connectome, Disease-Disease interactions, epidemics |
| ComputationalSocialScience | Socio-technical systems, infodemics, human-bot interactions |
Ocean currents show global intensification of weak tropical cyclones
“Our analysis further indicates that globally TCs have strengthened across the entirety of the intensity distribution.”
Something happened in the fediverse in the last 2h.
A literally huge incoming flow of users that outscaled the previous plots. Waiting for the new update from @estebanmoro in the meanwhile check this out
Left: 2h ago
Right: now
Novel surge in Mastodon, likely due to updating the count of instances.
I count almost 40k instances (both up and down) and 6.5M+ users, with 0.6 billion messages.
Nice (nearly linear) scaling. I have labeled the instances with more than 5M messages
cc @estebanmoro
Small rainfall changes drive substantial changes in plant coexistence
“[...] functionally diverse communities may be most threatened by changing interactions. Our results highlight how important it is to account for changes to species interactions when predicting species and community response to global change”
https://www.nature.com/articles/s41586-022-05391-9
#ComplexSystems #ClimateChange #ClimateCrisis #UnintendedConsequences
@tiago @lmrocha @estebanmoro @hirokisayama @PessoaBrain @danielemarinazzo
With this high level of unequal resource distribution, the admins of the largest instances also will have costs that are not even comparable to the ones of the smallest instances: the scaling is simply not that simple.
Sustainability, moderation, robustness to attacks: tons of potential problems for the #Mastodon system.
Again, a quick and dirty analysis, but if I have no bugs then the 1% largest #Mastodon instances accounts for 84% of all users.
The top 5% accounts for 97% of all users.
We can say that the system is effectively centralizing around a few instances, and this might be a problem for the overall stability and sustainability.
@tiago @lmrocha @estebanmoro @hirokisayama @PessoaBrain @danielemarinazzo
Long time collaborators and friends are slowly migrating to Mastodon, so glad to see them!
With patience, step by step, we all will rebuild our network. Since our social relationships make the network, not the other way around.
#ComplexSystems #NetworkScience #OnlineSocialNetwork #SocioTechnicalSystems
The power of data: making sense of which Greenhouse gas emissions must be prioritized for action, from:
1. electricity generation
2. cement, aluminum, steel, and other manufacturing processes
3. oil and gas production, refining, and coal mining
4. on-road vehicles, aviation, shipping, railways and other modes of transportation
5. the growing of crops and livestock for food and raw materials for non-food consumption
1/
Combining multiple data sources & 🛰 measurements & #ArtificialIntelligence a new map of global emissions has been presented at #COP27
If I got it correctly, the “traces” over the sea track ships and highlight the most used maritime routes.
We need this type of analyses to update our models of #ClimateChange and enhance their prediction. Also, we need transparency on how the used AI works and the estimate errors, to understand the reliability of these indicators to guide policy making.
Manlio De Domenico
