small world network
A small-world network is a type of mathematical graph in which most nodes are not neighbors of one another, but most nodes can be reached from every other by a small number of hops or steps.
finding your people. as the day.
hearing Vinay saying… diff mech that match people create diff kinds of human beings..
Examples of non-small-world networks
Networks are less likely to have the small-world properties if links between nodes arise mainly from spatial or temporal proximity, because there may be no short path between two “distant” nodes. Being constrained to physical space or time, as in a subway system or road network, tends to impede the formation of particularly long links that are conducive to hub formation.
Small-world networks can also be introduced with time-delay, which will not only produces fractals but also chaos under the right conditions, or transition to chaos in dynamics networks.
or time irrelevance.. by ginormous small
Applications to sociology
The advantages to small world networking for social movement groups are their resistance to change due to the filtering apparatus of using highly connected nodes, and its better effectiveness in relaying information while keeping the number of links required to connect a network to a minimum.
hearing David on Jo Freeman
and Vinay’s roadblock law
The small world network model is directly applicable to affinity group theory represented in sociological arguments by William Finnegan. Affinity groups are social movement groups that are small and semi-independent pledged to a larger goal or function. Though largely unaffiliated at the node level, a few members of high connectivity function as connectivity nodes, linking the different groups through networking. This small world model has proven an extremely effective protest organization tactic against police action. Clay Shirky argues that the larger the social network created through small world networking, the more valuable the nodes of high connectivity within the network. The same can be said for the affinity group model, where the few people within each group connected to outside groups allowed for a large amount of mobilization and adaptation. A practical example of this is small world networking through affinity groups that William Finnegan outlines in reference to the 1999 Seattle WTO protests.
Small-world neural networks in the brain
Both anatomical connections in the brain and the synchronization networks of cortical neurons exhibit small-world topology.
A small-world network of neurons can exhibit short-term memory..An activating pulse generated self-sustaining loops of communication activity among the neurons. A second pulse ended this activity. The pulses switched the system between stable states: flow (recording a “memory”), and stasis (holding it).
On a more general level, many large-scale neural networks in the brain, such as the visual system and brain stem, exhibit small-world properties.
It is hypothesized by some researchers such as Barabási that the prevalence of small world networks in biological systems may reflect an evolutionary advantage of such an architecture. One possibility is that small-world networks are more robust to perturbations than other network architectures. If this were the case, it would provide an advantage to biological systems that are subject to damage by mutation or viral infection.
anti fragility ness. wanting .. wanted.. stress.
Turns out there’s a guy with an IQ of 126 and 5% or 10% of normal brain mass rifters.com/crawl/?p=6116 something amazing can be learned here
On a somewhat less peer-reviewed note, VNBs also get routinely trotted out by religious nut jobs who cite them as evidence that a God-given soul must be doing all those things the uppity scientists keep attributing to the brain. ..
And yet, 126 IQ. Virtually no brain. In my darkest moments of doubt, I wondered if they might be right.
So on and off for the past twenty years, I’ve lain awake at night wondering how a brain the size of a poodle’s could kick my ass at advanced mathematics. I’ve wondered if these miracle freaks might actually have the same brain mass as the rest of us, but squeezed into a smaller, high-density volume by the pressure of all that cerebrospinal fluid (apparently the answer is: no). While I was writing Blindsight— having learned that cortical modules in the brains of autistic savants are relatively underconnected, forcing each to become more efficient— I wondered if some kind of network-isolation effect might be in play.
Now, it turns out the answer to that is: Maybe
The authors advocate research into “Computational models such as the small-world and scale-free network”— networks whose nodes are clustered into highly-interconnected “cliques”, while the cliques themselves are more sparsely connected one to another. De Oliveira et al suggest that they hold the secret to the resilience of the hydrocephalic brain. Such networks result in “higher dynamical complexity, lower wiring costs, and resilience to tissue insults.” This also seems reminiscent of those isolated hyper-efficient modules of autistic savants, which is unlikely to be a coincidence: networks from social to genetic to neural have all been described as “small-world”.
The point, though, is that under the right conditions, brain damage may paradoxically result in brain enhancement. Small-world, scale-free networking— focused, intensified, overclocked— might turbocharge a fragment of a brain into acting like the whole thing.
Maybe you don’t have to tweak genes or interface brains with computers to make the next great leap in cognitive evolution. Right now, right here in the real world, the cognitive function of brain tissue can be boosted— without engineering, without augmentation— by literal orders of magnitude. All it takes, apparently, is the right kind of stress.
huge to the shortening time between intention and action
author of tweeted article – Peter Watts
Watts blogged about his sentence saying that because of how the law was written, his asking: “What is the problem?” was enough to convict him of non-compliance
from Peter’s comments from aug 1 in article:
I have vague memories of a documentary dealing with Lorber’s case …The remodelled brain seemed to just allocate functions to whatever substrate was available, without too much respect for legacy.
My understanding is that learning involves a reduction in the number of neural connections. Newborn babies apparently start with a headfull of randomly-wired mush, and the redundant connections get pruned away as meaningful experience accumulates.
vinay roadblock law
so mech to facil reduction to better match/become us
toward optimal energy\ness toward us ness