The hidden networks of everything | Albert-László Barabási
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- čas přidán 4. 08. 2024
- This interview is an episode from @The-Well, our publication about ideas that inspire a life well-lived, created with the @JohnTempletonFoundation.
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Our world is filled with an abundance of data. Albert-László Barabási, a network scientist, believes that understanding the underlying structure and relationships of complex systems is crucial. Barabási’s research has challenged the notion of random connections and led to the discovery of a more accurate representation of how these systems are organized.
Barabási’s exploration began with the vast internet. Surprisingly, he found that the intricate web of connections did not follow random patterns but instead followed a power load distribution. He named these networks “scale-free networks.”
Barabási’s groundbreaking work reveals that new connections in our networks tend to form with already well-connected elements. Scale-free networks exist in various complex systems, such as cellular interactions and social networks. This discovery is an important step toward comprehending the remarkable complexity that arises from countless interactions among the world’s many components.
0:00 Networks: How the world works
1:23 The theory of random graphs
3:15 What is network science?
6:49 Complex systems
Read the video transcript ► bigthink.com/the-well/decodin...
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About Albert-László Barabási:
Albert-László Barabási is a network scientist, fascinated with a wide range of topics, from unveiling the structure of the brain and treating diseases using network medicine to the emergence of success in art and how science really works. His research has helped unveil the hidden order behind various complex systems using the quantitative tools of network science, a research field that he pioneered, and has led to the discovery of scale-free networks, helping explain the emergence of many natural, technological, and social networks.
Barabási is a Fellow of the American Physical Society. He is the author of The Formula (Little Brown), Network Science (Cambridge), Bursts (Dutton), and Linked (Penguin). He co-edited Network Medicine (Harvard, 2017) and The Structure and Dynamics of Networks (Princeton, 2005). His books have been translated into over twenty languages.
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What's a hidden network that you find fascinating?
I used to be an uber driver and was fascinated by the patterns of how people travelled over different parts of town. It was like there were gravity wells that pulled people into certain hubs.
It's the first time in my life I heard the average person knew 1,000 people, with the one knowing the least people having 850 names in their ready to recall mental Rolodex. That's amazing. And I speak as someone who took tons of sociology courses in college. I personally don't know more than 50 names; and that's being generous.
Flow.
@@gkwilly716 Interesting... Would you please name what are those "gravity wells" (hubs?) Airports, Mall centers?
@@martinmendez5856 In the evenings it would be more densely populated areas with restaurants, bars, apartments, etc. But which ones people went to seemed to vary a lot based on what side of a highway you were on, for example. Of course this is just personal anecdata but it would be cool to see a system-wide map of traffic flow over the course of the day.
Collect enough data and anything random becomes a pattern… things DO happen for a reason- but not the ones we usually think of.
nicely put fellow human.
Agreed, especially with this: "things DO happen for a reason- but not the ones we usually think of." That means that our thinking is not the deciding factor, we, our willing, our wanting, these are not the ones in control.
😂😂😂
@grant smythe we are starting to have conversations about if we are even directly thinking. Or if we are just seeing thoughts but aren't controlling them.
Ever type nonsense repeatedly? It's a great reminder we aren't totally free
Like mushrooms and mycelium networks, our interconnectedness with the world around us is essential for our survival and well-being. Just as mycelium networks support the growth and health of entire ecosystems, so too can we create systems that support the well-being of our communities and planet. By recognizing and harnessing the power of natural networks, we can work towards a more sustainable and interconnected future. It all starts with learning from the wisdom of the Earth and embracing the power of mycelium and other natural networks.
Great idea to think upon
This channel is always the best at what they do. The information they provide is everything that we could possibly need.
Thanks so much, appreciate the kind words and shared them with the team!
Actually I disagree. Your channel caters to a population that is already well educated and has the capacity to understand this. However, I would say that a large majority of people would be very confused about what he is trying to explain. For example, let's say you took 100 people who were shopping at a Wal-Mart and had them watch this, I would say the vast majority would really have no understanding whatsoever about any of it. I'm not sure what this channels goal is but if it's trying to improve information access and understanding of our world then you need to take into account that most people won't get this. I know that the universe is complex. But you're really only talking to a subset of our population.
Your words have not been shared with the team
@@bigthink Well there goes that discussion
Interessantíssimo!!! Interessantíssimo!!! Interessantíssimo!!!
brilliant, this channel is a gem
Really like this channel. You get what you get quickly and in digestible form.
Thank you so much, really appreciate it!
Systems thinking, Networking/Graph Theory and Statistics are looking ever more important if you want to have a deep understanding of stuff.
I was just about to put this video on blast for this man trying to rehash Systems Theory, which plainly sits at the foundation of all this. If you know systems theory then this concept is either rehash/derivative
it does not understand people but rather the evils of programmers imposing their ways and ideas and patterns that caused the unhealthy society.
This connects directly with assembly theory... very interesting...
Wow, this is fascinating and insightful!
amazing content
love this stuff
We are such a complex for of life yet so beautiful
It is funny how they show a Gauss distribution every time they mention a Poisson distribution...
Mindblown
Yes well I’m pretty sure you can build scale free networks from random networks, you just prune or build where you pruned or built last with a probability proportional to the density of that location. See diffusion limited aggregation as a simplified example.
a great and very clear explanation, thank you. will be useful in my teaching
The fabric of the universe weaves through fractal geometry.
That was so fascinating.
Thank you for sharing
It's interesting if there can be an algorithm, that can grow the whole network, starting from a single node. We have algorithms for fractals, so why can't we have them for networks? In physics, edges, connecting nodes may be associated with time(causal sets).
You definitely can. If you want a proximity based scale free graph, you can simply sample a random point and add a node or link there if that point has a certain number of nearest neighbors. This will generate fractal structures similar to diffusion limited aggregation.
If we can stop people using averages, and start looking at distributions instead, we can begin to explain and understand the real challenges society faces.
What do you mean john?
@@gabrieleconvertini6228 Different distributions of a random variable are best characterized by different statistical moments. For the standard gaussian or 'bell curve' distribution the mean/media/mode are where the influence is strongest. However, for a long-tailed, power-law type distribution, the controlling influence is concentrated at the largest sample value (assuming a finite sample population).
@@gabrieleconvertini6228 Most prople are making decisions assuming that averages are good measures of populations. What network theory shows is that is a false assumption.
@@antonymossop3135 It should be noted though, that Scale-Free is referring to a symmetry property called scale invariance. That property is responsible for systems to look self-similiar at different scales. If you think about how a fractal works, there is no "biggest" or "smallest" or "controlling" component of the thing, all the components are interacting with each other invariantly under that transformation. So specifically, it means that there is no "controlling" influence, it's the opposite, that there is no centralized control in such systems. That there is control at all scales.
One of the tenets of C-Systems, is that C-systems are hard to disassemble in that way. It's like asking what the "real" shape of the Mandelbrot set is. It no longer makes sense to ask such things because there is no scale at which the shape of the Mandelbrot set is "the real one." You can make similiar analogies to complex systems like economics and biology. The list kind of goes on.
If i understand you correctly then, this is exactly what the Pareto distribution is all about. We should use this phenomenon and not try to dismiss it's outcomes.
Interessantíssimo!!! Interessantíssimo!!! Interessantíssimo!!!
Graph theory, scale-free network, social science, game theory, internet, science and society
This is just scratching the surface
2:53 That’s a normal distribution
Would like to get more info on this topic ❤
We have a couple more videos with him!
Why Einstein is a “peerless genius” and Hawking is an “ordinary genius”: czcams.com/video/XsBcdfKfy9o/video.html
Why do some artists become famous? czcams.com/video/RgZ1X4Dok3Y/video.html
We can cure almost all human diseases. Here’s how: czcams.com/video/X8WoNgRxjos/video.html
Regression to the mean is basically what's happening with the random networks
The essential thing that everyone should be thinking about right now is investing in non-government sources of income. Especially in light of the current global economic crisis. It is still a wonderful moment to invest in gold, silver, digital money, and stocks.
@charlesblackman2057In life, I will forever be grateful for health, wealth and a great professional (Mary Margaret Cartier) whose help has been great for my finances.
@@walkerbaker541Glad to have stumbled on this conversation. Please can you leave the info of your investment advisor here? I'm in dire need for one.
@@brandonharry6961Oh yeah She is always active on whats-app
📌 *十𝟏𝟔𝟎*
📌 *𝟏𝟐𝟳𝟒*
Isn't 2:54 a Normal distribution ?
Wow. Interesting insight! Thanks for sharing.
I wonder if you see a life form as a bunch of interacting cells in a network, could you consider consciousness a emergent property of that network. Could you go so far as to say consciousness is a possible property of a network.
(I am off feeding the fish.)
Graph theory and neural networks. Facebook and LinkedIn folks
Would like to get more info on this topic . That was so fascinating. Thank you for sharing.
So you can send smaller bits of information through the internet. I like your videos keep up the good work👍🏻👍🏻
Awesome video! It was super informative and I really like the way you shot it. Hopefully you'll come out with a bunch more!
I like this research but take it with a grain of salt, this guy has a lot of critics and I’ve seen a few claim a lot of his work isn’t replicable or as applicable as he says - google more if your curious and reply to this comment if you find anything interesting to share😊
One could say that about absolutely everything we have ever been taught as well as. Everything is made up in a sense and figured out by someone
An understanding of individual nodes is insufficient. An understanding of the relationship between them is needed. Both are needed.
Perhaps a better understanding of “the collective unconscious” (or allowing the idea of one to exist even if we can not prove it physically exists, I guess it would be considered “scale-free”) and looking at networks of people and society like a physicist’s-type of understanding could create a better foundation.
I like his glasses
i was literally just thinking of buying this book on social network theory that's been sitting in my save for later on amazon, and then this vid gets recommended 👀
interesting
Hell ya
The World Wide Web grows on an organic substrate of evolving narrative interactivity.
2:57 isn't it a Gaussian distribution?
An average person knows 1000 peoples first names? I’d be shocked if I knew 100.
5:47 *"Bitconneeect!!!"*
This constitutes thinking big?
Like fields left fallow for an entire growing season, your soil needs enrichment before planting new crops. Burnout can become that time in your life, where you finally nourish yourself in ways you’ve never stopped to do before.
You are writing the story of your life, one that only you can tell. You can still change the ending. You can change what happens in the next chapter. You can change what happens on this very page. This story belongs to you.
Tell it.
"Reflect upon the Past.
Embrace your Present.
Orchestrate our Futures." --Artemis
🐲✨🐲✨🐲✨
"Before I start, I must see my end.
Destination known, my mind’s journey now begins.
Upon my chariot, heart and soul’s fate revealed.
In time, all points converge, hope’s strength re-steeled.
But to earn final peace at the universe’s endless refrain,
We must see all in nothingness... before we start again."
🐲✨🐲✨🐲✨
--Diamond Dragons (series)
6 degres of separation
Space Syntax is a theory based on space and society
I know many people but I only memorized 3-10 names, not a 1000 😂
I think the channel could simplify what the speakers are saying. These videos are most probably shortened by editing, and it feels that the explanations are not adequate for a lay person, and perhaps reduce the background music which is distracting
like spiders, ppl (an old net running on physical connections and desired-good)
construct pipes that pass d-g between physical locations creating new networks.
But events running in any net can effect the spiders, can promote another net reformation.
So,
Can we describe each net influence on the growth of a propagating event?!?!,
by matching growth graph to
Event-growth graph per net ,
that was recorded and confirmed to be
"the most-impactful carreir net for that event".
And,
If "close enough"graph match, we can? reduce the problem by removing the net and it's impact from the analyzed group of networks while correcting the analyzed growth graph.
Let me echo what someone commented on this video - "Collect enough data and anything random becomes a pattern" I developed an algorithm which proves this point exactly... There is no such thing as random in the universe.
What "intrigues" me is he rightfully states that in complex/random systems the average dominates, as in, is better at describing the variables within a complex/random systems.
Scientifically this is academic thinking and then...here we go, I can't resist...politically the same academics push a complete opposite way of thinking: the outliers matter, not the average.
I find these two modes of thinking so outrageously inreconcilable and yet 'they' do it and no one confronts academics that they must make a choice between these two modes of thinking.
*starts counting number of friends* 😰 *doesn't need all the fingers of one hand*
0: Good
001: Uniqueness
01: Consent
1: Ethics
2: Problem-Solution
6: What? Who? Why? When? How? Where?
10: Net
11: Justice
21: Solving Problems With Ethics
99: Revolution
100: Liberation
"entropy", Maxwell's 2nd law....
its just data 01
OK, so where do I fit in, with ZERO family and friends (actually) ?
What?
Second
Mostly nice content, but how come they are showing a normal distribution (at marker 2.55) and calling it a 'Poisson Distribution'?
First
nicholas christakis sent me here I am a connectome
I have nothing of importance to contribute to this discussion.
Nice video though :)
Third
E collection of data is one thing the bias of data is another. The problem with our species today are metaphysical which creates fear which manipulates the bias and pseudo science arrives.
Our species is de gressing quite quickly. Even brain structures are shrinking due to non creative positive pathways which meet requirements for challenging purposes.
Wait what? people don't have 1000 friends on average. I can't claim any. I highly doubt people on average have 1000
So I guess we can solve the random shooter problem ? And the Kennedy curse ? Or are those too politically charged .
But no matter how much data we think we have, we must remember that we come up far short of omniscience.
That is not to say that we should cease to learn and know, but to say that there is a God who knows everything and He would be glad to lend us His wisdom to apply in our discoveries of His creation.
Don’t everyone know this already? Is this for high school kids?
wysi
Sadly, the modeling is nearly absent in the disease modeling of medical practice. A true shame. Osteoapthic Philosophy opens the door to understanding meta systems for their complexities and connections. Structure and function modeling of interphysiological processes
Ever hear of laplace’s demon?
Newton was far more smarter than Einstein was. I think Maxwell was also super smart. Hawkins was not on the list.
just common knowledge, no new info...
WHAT WORLD ARE THESE SCIENTISTS LIVING IN THAT AN AVERAGE PERSON HAS 1,000 FRIENDS OR EVEN KNOWS 1,000 PEOPLE. I STOPPED THE VIDEO RIGHT THERE AND MOVED THE HELL ON.
Cool story. Did you ever listen to the definition? It’s anyone you know on a first name basis-that’s what they’re calling a friend. So everyone you encounter at work, neighbors, probably most everyone you grew up with…even if you haven’t seen or talked to these people in decades, if you could say “hey Dave/Suzy/whatever” and it not be weird, that’s a friend. You’d probably get to 1000 quicker than you think. Or just turn off the video, you know, either way. You don’t have to type in all caps either.
Question: why do you have your guests sitting on a backdrop if you are going to show the full-room shot constantly? So strange and unprofessional looking.
my thought, exactly!! 😆
Not hidden at all.