Network graphs are data visualizations that display links or relationships between nodes. They are sometimes referred to as network diagrams or node-link diagrams. Links indicate the connections between nodes, which can be people or organizations, and nodes. The visualization of data such as social networks, supply chains, and other systems having interconnected components is frequently done using network graphs.
Geopolitics app is starting to come along pretty nicely - working on standardizing the interface of each widget & preparing it so you can easily customize where the data comes from & what widgets are shown...so like a customizable (& resizeable/rearrangeable) dashboard for whatever specific purpose you want
Grand Paris complete graph generation zoomed in_ exercise: network generation based on proximity links - first 10 iterations; territorial coverage: Greater Paris territory - smaller city area. Software: Grasshopper - Rhinoceros
Functional connectivity and causal connections across different neural units are two main categories for how fMRI data on brain connectivity patterns are categorized. Recently, computational techniques—especially those based on graph theory—have been crucial in helping us comprehend the structure of brain connections.
In an effort to understand the neural bases of human cognition and neurological illnesses, a team at the University of Florida conducted a systematic review of how brain features might arise through the interactions of different neural units in various cognitive and neurological applications utilizing fMRI. This was made possible by the development of graph theoretical analysis.
A central and enduring aim of research in the psychological and brain sciences is to elucidate the information-processing architecture of human intelligence. Does intelligence originate from a specific brain structure or instead reflect system-wide network mechanisms for flexible and efficient information processing?
As anyone who knows me may know, I have been working on reading Alain Badiou's Mathematics of the Transcendental for a few years now. And as you may not know, I am currently studying the evolution of networks and graph theory, specifically the Greatest Strongly Connected Component.
I am still baffled and relatively starved of a good resource to contextualize category theory, though I sense its power in the Badiou. I attempted to read a paper about applications of category theory, but there was still some context lacking. I am still very much a very OCD individual, and need the context for why things arise as much as I need the how of how they arise.
One of the common themes I see here is that references in category theory that denote an option most referred to by other categories would be an equivalent to the GSCC. The difference being the interrelations between the other terms have not yet been mapped, nor necessarily have to be in the strictly categorical system. Only when they become a living system, inter-referring, do they begin to be embedded on a graph.
I see potential for analysis of analytical systems themselves using what I am currently learning about the "spring' function in graph theory. I will have to see how category theory and graph theory interrelate first. Off to do that!
Preliminary layout switching (havent adapted components yet for different sizes) & preliminary generic 2d camera (I'm clicking on the 'buttons' depicting the layouts, screengrab hates my mouse)
Brane Connectome Project : tales from the Worlds Tree
[Deep breath] The first post in what I hope becomes a series, a #Neuro #Science #Fiction #WorldBuilding project
#writing #blogging #scifi #space #multiverse
The bio-signs weren’t hard to find when we got serious about looking. Almost as soon as we had a presence away from Earth, “astrobiologist” became a job with fieldwork. “Paleo-xenologist”, too, naturally, given the breadth of time in the deeps of space. Expanding, gradually, in a fitful bubble around Sol we found ‘intelligence’ – it’s common, even. Just like your Earth primates, cephalopods,…
The 11th annual international gender census, collecting information about the language we use to refer to ourselves and each other, is now open until 13th June 2024.
It’s short and easy, about 5 minutes probably.
After the survey is closed I’ll process the results and publish a spreadsheet of the data and a report summarising the main findings. Then anyone can use them for academic or business purposes, self-advocacy, tracking the popularity of language over time, and just feeling like we’re part of a huge and diverse community.
If you think you might have friends and followers who’d be interested, please do reblog this blog post, and share the survey URL by email or at AFK social groups or on other social networks. Every share is extremely helpful - it’s what helped us get 40,000 responses last year.
Survey URL: https://survey.gendercensus.com
The survey is open to anyone anywhere who speaks English and feels that the gender binary doesn’t fully describe their experience of themselves and their gender(s) or lack thereof.
For the curious, you can also spy on some graphs and demographic data for the incoming responses here.