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Your Project Notes
Interpret graph data, save ideas, AI content, and analytics reports. Auto-Generate from Analytics
Top keywords (global influence):
Top topics (local contexts):
Explore the main topics and terms outlined above or see them in the excerpts from this text below.
See the relevant data in context: click here to show the excerpts from this text that contain these topics below.
Tip: use the form below to save the most relevant keywords for this search query. Or start writing your content and see how it relates to the existing search queries and results.
Tip: here are the keyword queries that people search for but don't actually find in the search results.

Welcome to this new episode of the context. Today I want to talk to you about Island ecosystems biologically, culturally and from a regulatory point of view. The reason is because I am in Malta, a tiny island in the Mediterranean, south of Italy, very close to the coast of Africa and it has a fascinating history. It's a beautiful nation now part of the European union. If you have never visited, you really must come. The reason I'm here is because I'm a speaker at the Malta, AI & Blockchain Summit where we discuss how startups can execute their projects in the environment of Mazda. It was fascinating to see. It is the third time that I participate in this conference, how this Island nation has gone through a process of debating, designing, adopting, and implementing legislation around technology, topics like blockchain and more recently artificial intelligence.

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And then they are not stopping because they want to put in place regulations and legislation for quantum technologies space and more really gearing themselves up to be ready for the challenges of the 21st century from of course, their point of view with 500,000 people. They have to be really providing value for the world to care. It is so easy to ignore what a 500 people could be doing and they have to be also very careful in balancing what the more adventures among them would want to do. And what the more conservative want to make sure that happens. They have been able to complete this delicate balancing act for the past thousand years. He imagined Malta has never been conquered by the Arabs, by the Turks, by all kinds of nations attacking it left and right. It's fortifications and it's resilience have been built for the ages.

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And even though I don't have a deep enough experience, I think I understand how this also reflects in the attitudes of the people who live here. Their attitude necessarily is of a relative caution initially, but when you conquer their trust, when you gain their trust, you are extremely welcome and you are immediately part of an intimate circle where things happen quite rapidly. Exactly. Because there is an a very dense set of links between the various nodes of a network of activities. And if you betrayed the trust that you gained, you are also very rapidly expelled from this network. This is, I believe, the consequence of the deep history of understanding how to survive among giants and pirates and the wars of all kinds that have trampled so many before. Now of course, the 21st century has completely different challenges. The world is more open, more interconnected.

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anymore. And the differential competitive advantages are rapidly eroded. If you don't keep up as an example the Maltese blockchain legislation is very welcoming to startups. Okay. These missing a crucial piece. There are no local banks that have stepped up to the challenge of being able to offer the easy and convenient opening of accounts for crypto projects or blockchain projects. They are as hostile as banks in other larger counties that can afford it. So they see immediately boots, the Maltese blockchain initiative in a little bit of a bind because the projects are legally registered here, but then have to find the bank for opening their account somewhere else. Similarly some of the procedures for incorporating a company in Malta are still a completely paper-based. Not even a digital signature is sufficient, let alone maybe a recording, a company act on the blockchain.

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No, you have to sign in paper and then courier the physical paper to your legal representative who will physically deliver it to the office that registered the, the, the company. So obviously not everything is perfect, but the enthusiasm and the desire to make it are clear.

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They know they can’t afford to relax and to lay down, they are clearly succeeding economically. And I hope socially as well. GDP has been growing for the past 10 years and maybe more employment is extremely low. There is a wanted ads in the retail establishment everywhere. A lot of people actually from Sicily where unemployment is very, very high come to Malta to, to work and thanks to the open and inclusive policies of the European union, they can freely those do so.

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So this is, I believe, a very interesting and captivating and it can and hopefully will the speed and the impactfulness of what Malta is doing.

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When Charles Darwin went on his famous voyage of the beagle and was the name of his ship as a young scientist and for many, many months, a couple of years, if I'm not mistaken, traveled around at the Island of Galapagos was one of the most important stops of that exploration and eh, other islands where he observed how local species of birds deferred in the design of their beaks that we're better at adapted to the seeds that could be found on an Island versus an Otter. And the description of those differences. And those are that patients was part of the basis, eh, that then went on and became the publication of on the region of species, the, that Darvin used to make his theory of evolution known and islands are very important locations for experiments because they are containing the risk of running an experiment.

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And then when the experiment is unsuccessful, it won't contaminate it. One contained other environments. But when the experiment is successful it can conquer the entire Island pretty fast and other environments can copy the experiment that was successful having avoided the downside risk already. Now in our world where the copying mechanism is mimetic rather than genetic. So ideas and the implementations of ideas are passing from one person to another, from one project to another, from one nation to another. Rather than having to wait generation after generation for the genetic information being transmitted via biological inheritance. Of course this copying and spreading of successful experiments is even faster.

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The opportunity is for a network of Island nations to actually commingle and associate, reinforcing each other. And I am not surprised that here in Malta at this conference there are representatives of many Island nations or micronations that if they are not islands are still enjoying the benefit of being able to do experiments in this way. So I met people from The Bahamas, I met people from Dora. I met people from many places from Singapore that and share this characteristic of resilience, of experimentation, of a favorable regulatory environment to embrace innovation. Think about it. It is a kind of isolated experiment that China decided to start in Shanghai and change. And that was the basis in many ways of the incredible economic transformation and the creation of class now comprising Concords of millions of individuals. It only started 30 years ago or so. And that kind of success is now being emulated everywhere.

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The entire concept of free economic zones and special economic zones and startup societies is being identified and picked up by people who are responsible for the policies that must incentivize the creation of new realities that can be hopefully as uplifting and empowering as those created in China in Shanghai has have been. And there are now specific foundations and funds that are studying the special economic zones and that are investing in development of these zones all around the world. So larger nations watch out because your situation, even though understandably more complex and not at all easy to transform, is unstable. You have to keep your eyes open in order to be inspired and adopt what is happening in the city. Alert and nimbler environments that are brewing the cultural [inaudible] and technological and social variation from which are the solutions are emerging. I feel very happy and privileged to be able to witness directly walk is happening here in Malta.

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And if you are in Europe, anywhere, you know, you can take a locus that flight and for maybe something like 50 Euro or if you are too slow booking your ticket to a hundred Euro, come here take out a, an apartment for a weekend and see with your own eyes at what is going on. I really recommend it. And the decline, it is so nice that you can do it in winter time or you can do it in the spring and, and depending on your ability to withstand the cold water. Well, I swam in November in the, in the seat is so good, but the, in the summer it is magnificent and the food is too, they're specialty is rabbit or octupus. Both of a, those foods are of course incompatible with a future where we are all becoming a vegetarian. But as far as our president is concerned until many of us, including me, are omnivores. Those are excellent dishes worth trying.

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So thank you for listening to this episode of the context. As usual, I am waiting for your questions, for your input of how to make these even more stimulating. My objective is always that of giving you a broader view, interpreting what is going on in the world. The knowledge that we gain from putting together various sources of information must be part of an understanding that enables us to look confidently to the future. And that if you believe that I am delivering this value to you, feel free to support the context that on Patreon so that my team can keep producing and hopefully even improving the production value of these episodes to you and to everybody who is watching them under various channels. Thank you.

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semantic variability:
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Semantic Variability Score
— modulates diversity of the discourse network  how it works?
The score is calculated based on how modular the structure of the graph is (> 0.4 means the clusters are distinct and separate from one another = multiple perspectives). It also takes into account how the most influential nodes are dispersed among those clusters (higher % = lower concentration of power in a particular cluster).
Actionable Insight:


We distinguish 4 states of variability in your discourse. We recommend that a well-formed discourse should go through every stage during its evolution (in several iterations).

  1 - (bottom left quadrant) — biased — low variability, low diversity, one central idea (genesis and introduction stage).
  2 - (top right) - focused - medium variability and diversity, several concepts form a cluster (coherent communication stage).
  3 - (bottom right) - diversified — there are several distinct clusters of main ideas present in text, which interact on the global level but maintain specificity (optimization and reflection stage).
  4 - (left top) — dispersed — very high variability — there are disjointed bits and pieces of unrelated ideas, which can be used to construct new ideas (creative reformulation stage).

Read more in the cognitive variability help article.
Generate AI Suggestions
Your Workflow Variability:
Shows to what extent you explored all the different states of the graph, from uniform and regular to fractal and complex. Read more in the cognitive variability help article.

You can increase the score by adding content into the graph (your own and AI-generated), as well as removing the nodes from the graph to reveal latent topics and hidden patterns.
Phases to Explore:
AI Suggestions  
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Main Topical Clusters & High-Level Ideas
The topical clusters are comprised of 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 using the Force Atlas algorithm (Jacomy et al) and are given a distinct color.
please, add your data to display the stats...
+     full table     AI: Reveal High-Level Ideas

AI: Summarize Topics   AI: Explore Selected

Most Influential Keywords & Concepts
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.

We use the Jenks elbow cutoff algorithm to select the top prominent nodes that have significantly higher influence than the rest.

Click the Reveal Underlying Ideas button to remove the most influential words (or the ones you select) from the graph, to see what terms are hiding behind them.
please, add your data to display the stats...
+      ↻    Reveal Underlying Ideas

AI: Summarize Key Statements   AI: Topical Outline
Network Structure:
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.

Download: TXT Report  CSV Report  More Options
Structural Gap Insight
(topics to connect)   ?
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.
Highlight in Network   ↻ Show Another Gap  
AI: Insight Question   AI: Bridge the Gap  
Discourse Entrance Points
(concepts with the highest influence / frequency ratio)   ?
These nodes have unusually high rate of influence (betweenness centrality) to their frequency — meaning they may appear not as often as the most influential nodes but they are important narrative shifting points.

These are usually effective entrance points into the discourse, as they link different topics together and have high inlfuence, but not too many connections, which makes them more accessible.
↻ Undo Selection AI: Select & Generate Content

Emerging Keywords

Evolution of Topics
(number of occurrences per text segment) ?
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 number of occurrences.

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):

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):

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

positive: | negative: | neutral:
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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

Use the Bert AI model for English, Dutch, German, French, Spanish and Italian to get more precise results (slower). Standard model is faster, works for English only, is less precise, and is based on a fixed AFINN dictionary.

Concept Relation Analysis:

please, select the node(s) on the graph or in the table below to see their connections...
+   ⤓ download CSV   ?

Use this feature to compare contextual word co-occurrences for a group of selected nodes in your discourse. Expand the list by clicking the + button to see all the nodes your selected nodes are connected to. The total influence score is based on betweenness centrality measure. The higher is the number, the more important are the connections in the context of the discourse.
Top Relations in 4-grams
(bidirectional, for directional bigrams see the CSV table below):

⤓ 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. Occurrences shows the number of the times a relationship appears in a 4-gram window. Weight shows the weight of that relation.

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).

Text Statistics:
Word Count Unique Lemmas Characters Lemmas Density
Text Network Statistics:
Show Overlapping Nodes Only

⤓ Download as CSV  ⤓ Download an Excel File
Discourse Network Structure Insights
mind-viral immunity:
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.

We recommend to try to increase mind-viral immunity for texts that have a low score and to decrease it for texts that have a high score. This ensures that your discourse will be open, but not dispersed.
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.

We recommend to aim for Diversified structure if you're in the Biased or Focused score range and to aim for the Focused structure if you're in the Dispersed score range.

Influence Distribution
Topics Nodes in Top Topic Components Nodes in Top Comp
Nodes Av Degree Density Weighed Betweenness

Discourse Advice:
AI: Develop the Discourse
Narrative Influence Propagation:
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.
Please, enter a search query to visualize the difference between what people search for (related queries) and what they actually find (search results):

We will build two graphs:
1) Google search results for your query;
2) Related searches for your query (Google's SERP);
Click the Missing Content tab to see the graph that shows the difference between what people search for and what they actually find, indicating the content you could create to fulfil this gap.
Please, enter a search query to discover what else people are searching for (from Google search or AdWords suggestions):

We will build a graph of the search phrases related to your query (Google's SERP suggestions).
Compare informational supply (search results for your query) to informational demand (what people also search for) and find what's missing:

We will build two graphs:
1) the content that already exists when you make this search query (informational supply);
2) what else people are searching for when they make this query (informational demand);
You can then click the Niche tab to see the difference between the supply and the demand — what people need but do not yet find — the opportunity gap to fulfil.
Please, enter your query to visualize Google search results as a graph, so you can learn more about this topic:

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