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The recent series, Locky explores interesting themes of what is the nature of reality. The free will, that we prove and can apply and other components in a smart way. It asks what reality is and how we perceive it. And it may be surprising to you. That reality is not necessarily a fixed known definitive system. We constantly push against its boundaries. My name is David Orban, and this is the context season four episode six.

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If you watched the series, Locky, you will have been subjected to stimulating action scenes and wonderful representation of alternative worlds with very careful design and storytelling, but also to provocative ideas about how does reality form and what is our role in not only understanding it, but potentially shaping it. Today I want to talk about three concepts there in my own way, and this series of definitions and details that I am going to give may not exactly correspond to what the official understanding or description or adoption of the terms that I'm using is going to be, but I want to stick my do my own ways because I believe they are actually useful and potentially more useful than the mainstream definitions. I want to talk about the mega verse, the multiverse. And the metaverse. and how it, we are mapping out the meaning of the implication, the theoretical underpinnings and potentially the practical consequences of these concepts. So let's start the mega verse is the set of

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possible physical universes as they group together. We did their boundaries, touching, and pushing. And with potentially complimentary or slightly differing physical laws, creating fairly difficult to penetrate surfaces. Now, when I'm talking about universes grouping together, and the boundaries. Yes, I am talking about a physical space, but this space is not necessarily our three dimensional space, plus time, space, time, as we have understood it. For the past 100 years, but it may be of a more complex and a more complete set of dimensions, the explorations that we are conducting in the nature of our elementary particles and the forces that bind them and have them interact are indicating that indeed there can potentially be more physical dimensions than not what appear to our senses in our day to day experience. Now, the mega verse groups together different universities,

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via, via,

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via our code chest if future be right. Via culture, via culture by

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the mega verse groups together a universes that are self contained in the sense that the speed of light is the ultimate limit of causal interaction in a given volume of space, time, and as universes, expand or contract, the boundaries of causal interaction. In turn, change the surfaces of different types of universes, touching, are the places where we can observe, and prove the existence of multiple compliments complimentary physical University's composing the mega verse. The reason why this matters is because we can ask ourselves, why are the laws and parameters of our particular universe, the way they are, what are the differences in the laws and the parameters of the other universities composing the mega verse. And as we ask about these values and those differences. Possibly realize that they are evolutionary selection criteria that lead to one or another of these sets of values and sets of parameters. Now we know that in our universe. The evolution of matter and energy itself

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leads to the formation of stars to planets to biological life and to intelligent life. We can then ask ourselves if other sets of values and other types of parameters in other universes within the mega verse can do the same. Let's now talk about the most diverse, the most diverse at it is the quantum mechanical interpretation of the probability distribution of events, ending up with a given outcome rather than another. And instead of leaving the assumption that these possible alternatives are selected by random invisible processes, the multiverse interpretation of the quantum mechanical phenomena posits that actually the multiverse. A is a physical reality that indeed, all the possible outcomes of events play out, and it is their interaction that brings about it, the results that we can then observe, or that actually there are multiple outcomes, all being observed in one or another of the instantiations of the multiverse. The various universes in the multiverse, do not exist in

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physically adjacent spaces, they do interact through quantum mechanical processes in the enormous apparently wasteful multiplication of the instances of the universe, occurs through each and every quantum mechanical event through each and every interaction of of particles in a number that is difficult to conceive or represent. And to calculate with

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our in understanding of physics, and of quantum mechanics is still very limited, even though. Quantum mechanics is actually one of the most powerful theories we have, and is the most precise theory we have where prediction, and measurement correspond to the maximum number of digits, when we compare the two. Now, the multiverse interpretation of quantum mechanics is a minority view. But there are very interesting implications if we take it seriously. In, there are people who view the possibility of building, and using quantum computers as actually our reaching out into multiple universes into in the multiple multiverse and executing those calculations in parallel, and then bringing back the results. As the superposition of entangled particles collapses. When we read out what the end result of the calculation is the multiverse is fascinating view of alternative possibilities. Those who want to think about what they should be doing, what are their decisions should imply a, what are the

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consequences of decisions they have made in the past or will make in the future, can actually take a bird's eye view, mentally, and try to understand how these multiple choices lead to different outcomes, and then of course, sort those different choices according to their value systems in order to maximize desirable outcomes. Once again, the evolutionary selection processes that can allow pruning of the possibilities, is what we assume we are doing when we apply what we label free will. There are those who believe that free will, indeed emerges from the under painting quantum mechanical processes, and there are those who believe that while freewill is a useful term that we adopt as individuals and as social groups. A, there is no scientific grounding that can lead from deterministic laws to actions that are non deterministic, introducing in the middle as they say, some magical component or or metaphysical process. Instead, the metaverse. Finally, is it, what we are now building as the

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digitization of our world, proceeding at jolting bases at an increasing rate of acceleration is overlaying the physical world, with additional layers of meaning and understanding and ability to analyze and act on those layers or act within those layers. And as we connect the digital layer to the physical layer, the metaverse, of course, has a consequence in the physical world, as well. The simulation hypothesis asks if

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it is possible that an outcome of the technological evolution of intelligent species, leads to the building, and the deployment of metal verses that are indistinguishable from any physical layer or the reverse, that there are those who are asking themselves. If the foundation of the physical reality that we observe is itself, digital if said spacetime emerges. Naturally, from the interaction of completely abstract networks of nodes at depths of a resolution that certainly not today, and maybe never we will able to probe. Now, in the people who play video games, of course, have a very direct understanding of the power of the metaverse to create alternate realities and simulating at increasing degrees of resolution and fidelity. Reality is that, however, do not necessarily correspond to our own. Once again, enables us to explore things that can be asked ourselves, things that should be, and choose among them the question, if indeed our physical reality is, at what you would call the

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base layer or it, it stands on top of other layers with turtles all the way down, is not meaningless. A, and I confess to the shamanistic supposition and preference to be instantiated in the blaze layer, but I do understand that this comes from a limitation of my own sets of preferences, and I am striving to embrace a view that does not necessarily distinguish to assign higher value to more basically or than what you would call simulated the layer instead. I want to become more detached and better able to abstract myself in order to once again, understand what are the evolutionary processes that can lead from one Metaverse layer to the building of the next one and the next one and so on. So, mega verse multiverse metaverse. These are three different ways in which we are mapping, and understanding the nature of reality. And you will have noticed that I introduced completely orthogonal concept of evolutionary fitness in each of them. Indeed. I'm a universal Darwinist. I do believe that

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the concept of evolution and natural selection can apply and does apply not only in biology, but in every process that has the ability to create copies of itself. With variation within the constraints of a set of parameters that implement the selection processes. Pruning eventual alternatives. So, A. What I also mentioned in each of these

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three ways of looking at reality is that the reasoning around them, allows us to ask, what are these evolutionary forces, but also to apply our own preferences and then execute and act on those preferences in order to have a reality emerge that is desirable to us. And this is power, that we can assume, and we can embody of creating reality, comparing the reality we create with models that we want and go out in the universe that lives in the mega verse, the multiverse and the metaverse simultaneously with our full, wonder, and full enjoyment of our existence.

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Thank you very much for watching or listening to this episode of the context. I enjoy the recording them, and if you feel that they are valuable. Please become a sponsor, a supporter, a benefactor, on patreon@patreon.com, slash, David Orban, thank you.

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      Network Structure Insights
       
      mind-viral immunity:
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      stucture:
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      The higher is the network's structure diversity and the higher is the alpha in the influence propagation score, the higher is its mind-viral immunity — that is, such network will be more resilient and adaptive than a less diverse one.

      In case of a discourse network, high mind-viral immunity means that the text proposes multiple points of view and propagates its influence using both highly influential concepts and smaller, secondary topics.
      The higher is the diversity, the more distinct communities (topics) there are in this network, the more likely it will be pluralist.
      The network structure indicates the level of its diversity. It is based on the modularity measure (>0.4 for medium, >0.65 for high modularity, measured with Louvain (Blondel et al 2008) community detection algorithm) in combination with the measure of influence distribution (the entropy of the top nodes' distribution among the top clusters), as well as the the percentage of nodes in the top community.

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      Narrative Influence Propagation:
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      The chart above shows how influence propagates through the network. X-axis: lemma to lemma step (narrative chronology). Y-axis: change of influence.

      The more even and rhythmical this propagation is, the stronger is the central idea or agenda (see alpha exponent below ~ 0.5 or less).

      The more variability can be seen in the propagation profile, the less is the reliance on the main concepts (agenda), the stronger is the role of secondary topical clusters in the narrative.
      propagation dynamics: | alpha exponent: (based on Detrended Fluctuation Analysis of influence) ?   show the chart
      We plot the narrative as a time series of influence (using the words' betweenness score). We then apply detrended fluctuation analysis to identify fractality of this time series, plotting the log2 scales (x) to the log2 of accumulated fluctuations (y). If the resulting loglog relation can be approximated on a linear polyfit, there may be a power-law relation in how the influence propagates in this narrative over time (e.g. most of the time non-influential words, occasionally words with a high influence).

      Using the alpha exponent of the fit (which is closely related to Hurst exponent)), we can better understand the nature of this relation: uniform (pulsating | alpha <= 0.65), variable (stationary, has long-term correlations | 0.65 < alpha <= 0.85), fractal (adaptive | 0.85 < alpha < 1.15), and complex (non-stationary | alpha >= 1.15).

      For maximal diversity, adaptivity, and plurality, the narrative should be close to "fractal" (near-critical state). For fiction, essays, and some forms of poetry — "uniform". Informative texts will often have "variable + stationary" score. The "complex" state is an indicator that the text is always shifting its state.

      Degree Distribution:
        calculate & show   ?
      (based on kolmogorov-smirnov test) ?   switch to linear
      Using this information, you can identify whether the network has scale-free / small-world (long-tail power law distribution) or random (normal, bell-shaped distribution) network properties.

      This may be important for understanding the level of resilience and the dynamics of propagation in this network. E.g. scale-free networks with long degree tails are more resilient against random attacks and will propagate information across the whole structure better.
      If a power-law is identified, the nodes have preferential attachment (e.g. 20% of nodes tend to get 80% of connections), and the network may be scale-free, which may indicate that it's more resilient and adaptive. Absence of power law may indicate a more equalized distribution of influence.

      Kolmogorov-Smirnov test compares the distribution above to the "ideal" power-law ones (^1, ^1.5, ^2) and looks for the best fit. If the value d is below the critical value cr it is a sign that the both distributions are similar.
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      Main Topical Groups:

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      +     full stats   ?  

      The topics are the nodes (words) that tend to co-occur together in the same context (next to each other).

      We use a combination of clustering and graph community detection algorithm (Blondel et al based on Louvain) to identify the groups of nodes are more densely connected together than with the rest of the network. They are aligned closer to each other on the graph and are given a distinct color.
      Most Influential Elements:
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      We use the Jenks elbow cutoff algorithm to select the top prominent nodes that have significantly higher influence than the rest.

      Click the Reveal Non-obvious button to remove the most influential words (or the ones you select) from the graph, to see what terms are hiding behind them.

      The most influential nodes are either the ones with the highest betweenness centrality — appearing most often on the shortest path between any two randomly chosen nodes (i.e. linking the different distinct communities) — or the ones with the highest degree.
      Network Structure:
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      Structural Gap
      (ask a research question that would link these two topics):
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      Reveal the Gap   Generate a Question   ?
       
      A structural gap shows the two distinct communities (clusters of words) in this graph that are important, but not yet connected. That's where the new potential and innovative ideas may reside.

      This measure is based on a combination of the graph's connectivity and community structure, selecting the groups of nodes that would either make the graph more connected if it's too dispersed or that would help maintain diversity if it's too connected.

      Latent Topical Brokers
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      These are the latent brokers between the topics: the nodes that have an unusually high rate of influence (betweenness centrality) to their freqency — meaning they may appear not as often as the most influential nodes but they are important narrative shifting points.

      These are usually brokers between different clusters / communities of nodes, playing not easily noticed and yet important role in this network, like the "grey cardinals" of sorts.

      Emerging Keywords
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      Evolution of Topics
      (frequency / time) ?
      The chart shows how the main topics and the most influential keywords evolved over time. X-axis: time period (split into 10% blocks). Y-axis: cumulative frequency of occurrence.

      Drag the slider to see how the narrative evolved over time. Select the checkbox to recalculate the metrics at every step (slower, but more precise).

       
      Main Topics
      (according to Latent Dirichlet Allocation):
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      LDA stands for Latent Dirichlet Allocation — it is a topic modelling algorithm based on calculating the maximum probability of the terms' co-occurrence in a particular text or a corpus.

      We provide this data for you to be able to estimate the precision of the default InfraNodus topic modeling method based on text network analysis.
      Most Influential Words
      (main topics and words according to LDA):
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      We provide LDA stats for comparison purposes only. It works with English-language texts at the moment. More languages are coming soon, subscribe @noduslabs to be informed.

      Sentiment Analysis

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      We analyze the sentiment of each statement to see whether it's positive, negative, or neutral. You can filter the statements by sentiment (clicking above) and see what kind of topics correlate with every mood.

      The approach is based on AFINN and Emoji Sentiment Ranking

      Sentiment analysis works for English language only. Contact us @noduslabs to propose a language and to get updated about the new features.

      Network Statistics:
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      ⤓ Download as CSV  ⤓ Download an Excel File

      Top Relations / Bigrams
      (both directions):

      ⤓ Download   ⤓ Directed Bigrams CSV   ?

      The most prominent relations between the nodes that exist in this graph are shown above. We treat the graph as undirected by default as it allows us to better detect general patterns.

      As an option, you can also downloaded directed bigrams above, in case the direction of the relations is important (for any application other than language).
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