×  ⁝⁝ 
Export the Data


Network Graph Images:

The graph images for publishing on the web or in a journal. For embeds and URLs use the share menu.
PNG (Image)  SVG (Hi-Res)

Network Graph Data:

The raw data with all the statistics for further analysis in another software.
JSON  CSV  Gexf (Gephi)

Visible Statements (Tagged):

Export the currently filtered (visible) statements with all the meta-data tags (topics, sentiment).
CSV (Spreadsheet)   TXT (e.g.Obsidian)  

All the Text:

Plain text used to create this graph without any meta-data.
Download Plain Text (All Statements)
×
Share Graph Image

 
Share a non-interactive image of the graph only, no text:
Download Image Tweet
 
Share Interactive Text Graph

 

 
×
Save This Graph View:

 

×
Delete This Graph:

 

×
About this Context Graph:

 
total nodes:  extend
 
InfraNodus
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 the new episode of the context.

   edit   deselect   + to AI

 

1:14

   edit   deselect   + to AI

 

We are all in our spaceships. Think about it, you cannot leave your home. And the space that you have available is very defined. You have to make do but you also have to adapt. For example, even if we don't realize every week they as we go either shopping or to work and then go home, our muscles get exercised and when the we don't leave home, we have to consciously put in exercise regimes that keep our muscular tone. We are still under the force of

   edit   deselect   + to AI

 

2:00

   edit   deselect   + to AI

 

attraction of gravity. So contrary to what happens in orbit, we don't have to worry about calcium depletion in our bone density.

   edit   deselect   + to AI

 

2:13

   edit   deselect   + to AI

 

Another analogy is that we have to have a very precise program of what we do in the day. Otherwise, we will tend to just hang around in our pajama

   edit   deselect   + to AI

 

2:30

   edit   deselect   + to AI

 

watching television series, and binging on the latest

   edit   deselect   + to AI

 

2:37

   edit   deselect   + to AI

 

issue of whatever we like on Netflix or or Amazon Prime or other channels. Instead, if we are precise and able to plan ahead, then we can actually feel our days productively. Both

   edit   deselect   + to AI

 

3:00

   edit   deselect   + to AI

 

Doing things that we have postponed in the past and now we have time to do various chores in the house, as well as acquiring new skills, learning new abilities. The

   edit   deselect   + to AI

 

3:16

   edit   deselect   + to AI

 

other important consequence of being in the spaceship that is our house is the necessity of thinking about how we acquire the resources that we need. If we are going shopping, we have to buy food for a week or more so that we don't go too frequently.

   edit   deselect   + to AI

 

3:41

   edit   deselect   + to AI

 

And we are consuming everything without throwing things away as unfortunately 30 40% of the food used to be thrown away in the past in the Western countries.

   edit   deselect   + to AI

 

4:01

   edit   deselect   + to AI

 

The issue of recycling, of course, is not only about food, but also other components of the trash that we generate, whether it is paper or glass or metal, or plastic. In many countries, there is an increasing level of attention in recycling everything. And of course, now we have a little bit more time so probably we are more diligent about sorting in the 567 different

   edit   deselect   + to AI

 

4:36

   edit   deselect   + to AI

 

garbage containers that each of us necessarily keeps in order to make it available for collection on the precisely defined day.

   edit   deselect   + to AI

 

6:18

   edit   deselect   + to AI

 

There are a couple of things that we can still take for granted and we are very lucky in that water and air. Even though there have been reports of

   edit   deselect   + to AI

 

6:31

   edit   deselect   + to AI

 

the Coronavirus being found in the water supply of Paris, this was not water for human consumption.

   edit   deselect   + to AI

 

6:43

   edit   deselect   + to AI

 

So, we can use tap water. But of course we have to think ahead and for example,

   edit   deselect   + to AI

 

6:52

   edit   deselect   + to AI

 

make sure that we have also alternative reserves at home if for a few days because it was

   edit   deselect   + to AI

 

7:00

   edit   deselect   + to AI

 

be possible, probably for more, we have to drink bottled or boxed water. And as far as the air is concerned, of course it will be even a bigger problem. But we can start thinking ahead what would it imply if the next pandemic were transmitted by an airborne virus? To give an example, if somebody is ill with measles, and they are infective

   edit   deselect   + to AI

 

7:37

   edit   deselect   + to AI

 

and ride an elevator,

   edit   deselect   + to AI

 

7:40

   edit   deselect   + to AI

 

you can climb into that elevator hours after the left and you will still be infected. That is the kind of infectiousness of measles, just through breeding.

   edit   deselect   + to AI

 

7:55

   edit   deselect   + to AI

 

So what would we do if

   edit   deselect   + to AI

 

8:00

   edit   deselect   + to AI

 

The air would be contagious. Would we equip our apartments with air filters capable of keeping out viruses? Well, the latest Tesla models, for example, have this kind of air filtering capabilities. So technically, technologically, we can do it. But of course, doing that for millions of homes and 10s and hundreds of millions of homes would be a huge undertaking.

   edit   deselect   + to AI

 

8:34

   edit   deselect   + to AI

 

Now, whenever we are talking about the resource cycle of food, water, air, recycling, in materials of various kinds, these are things that we discover on earth because

   edit   deselect   + to AI

 

8:56

   edit   deselect   + to AI

 

out of necessity in conditions like

   edit   deselect   + to AI

 

9:00

   edit   deselect   + to AI

 

The lockdown then we find ourselves in now, but in space, this is everyday life.

   edit   deselect   + to AI

 

9:08

   edit   deselect   + to AI

 

on the International Space Station, recycling is not perfect. And as a consequence supply ships need to deliver water, air and fake away garbage

   edit   deselect   + to AI

 

9:23

   edit   deselect   + to AI

 

from the space station periodically.

   edit   deselect   + to AI

 

9:27

   edit   deselect   + to AI

 

But if we want to build

   edit   deselect   + to AI

 

9:31

   edit   deselect   + to AI

 

permanent, self sufficient Martian colonies, they will need to be recycling and sustainable 100% 99 point 99 not enough. even adding one nine after that would only mean that the ability for the colony to persist would be prolonged for some period of time, but then it will still protect

   edit   deselect   + to AI

 

10:00

   edit   deselect   + to AI

 

collapse. So we are certainly not there yet. We don't know how to build a structure and what is the minimum size of the structure whose only input is sunlight and whatever chemical components you find on the ground, but for everything that is concerning a vital biosphere, it is able to maintain itself without out input from the outside, in, which in this case would be a shipment from Earth that we couldn't and wouldn't want to rely on in our concept of a self sufficient Martian colony. So we have to work in order to get there. But if we imagine that we are already there, then this knowledge, these abilities,, these capabilities

   edit   deselect   + to AI

 

11:00

   edit   deselect   + to AI

 

are extremely precious, is it likely that it will be Earth developing it? Or is it more likely that it will be not completely self sufficient Martian colony that is going to make a concerted effort to improve its

   edit   deselect   + to AI

 

11:19

   edit   deselect   + to AI

 

ability to create a circle or system in the biosphere, and supposedly in the economy as well. To be truly autonomous. I believe that the second is much more likely, which means that these precious technologies are going to be born on Mars. And as they are born on the Mars, of course, their value will be immediately recognized and leveraged. The Martian economies will export these, this know how these technologies these best practices to earth and possibly elsewhere.

   edit   deselect   + to AI

 

12:00

   edit   deselect   + to AI

 

That will be the

   edit   deselect   + to AI

 

12:03

   edit   deselect   + to AI

 

base of Martian commerce.

   edit   deselect   + to AI

 

12:07

   edit   deselect   + to AI

 

And of course, there will be always welcome shipments of whatever Mars needs and an Earth has a blank t in order to expand the colony or build a second one on the planet.

   edit   deselect   + to AI

 

12:24

   edit   deselect   + to AI

 

Until and there will be many, many more years before that project becomes feasible. We

   edit   deselect   + to AI

 

12:35

   edit   deselect   + to AI

 

terraform the planet itself, not only within the colonies, but all over its surface we create the conditions for Earth base the life to thrive. And

   edit   deselect   + to AI

 

12:51

   edit   deselect   + to AI

 

this will keep us busy for millennia. And of course, we will start other

   edit   deselect   + to AI

 

13:00

   edit   deselect   + to AI

 

places as well, other colonies that are going to be very different. A colony on the asteroid belt, for example, not only wouldn't be able to count on soil and

   edit   deselect   + to AI

 

13:14

   edit   deselect   + to AI

 

air and water, it would have a much lower availability even of energy from the sun because of how distant it is. And very importantly, it wouldn't be able to count on gravity to help or hinder certain activities. The human body needs gravity. So there will be spinning colonies, but at the same time, it is easier to build a fantastically complex and and intricate structures. If gravity is not there, every moment trying to destroy and make crumble water

   edit   deselect   + to AI

 

14:00

   edit   deselect   + to AI

 

We are building. So, there will be also structures that are free standing and growing in all directions for their own purposes in in the colonies in the asteroid belt.

   edit   deselect   + to AI

 

14:14

   edit   deselect   + to AI

 

Now of course, whenever we are talking about Earth based, Mars based or asteroid belt based dwellings, both designing and building them will employ vast quantities of robots, both humanoid as well as non humanoid robots in 3d printing, our habitats is going to be the norm, where, at an ever increasing rate, we will use grown parts extruding from the raw materials available in order to

   edit   deselect   + to AI

 

15:00

   edit   deselect   + to AI

 

obtain what, what we actually need.

   edit   deselect   + to AI

 

15:04

   edit   deselect   + to AI

 

And then of course, the people who will be born in these very varied places in the solar system will take their own place of birth for granted. And they will see every other place as very exotic, very attractive, sometimes in hospitable, sometimes welcoming, and the tourism in the solar system is going to be an important economic factor. Because for humans curiosity, entertainment, learning and meeting other people is going to constitute an important part of how we will keep living.

   edit   deselect   + to AI

 

15:54

   edit   deselect   + to AI

 

In the meantime, in your spaceship, at home, you

   edit   deselect   + to AI

 

16:00

   edit   deselect   + to AI

 

You should design your days and your weeks in a manner to recognize how lucky we are and how lucky the the situation is. Because we have demonstrated our extreme ability to adapt to something unexpected and something that we couldn't even imagine most of us a few months ago. And this kind of discipline and dedication and persistence and resilience that we have demonstrated, is going to serve us extremely well as we go and endeavor to face our new challenges but also the opportunities of space exploration around the solar system.

   edit   deselect   + to AI

 


        
Show Nodes with Degree > 0:

0 0

Filter Graphs:


Filter Time Range
from: 0
to: 0


Recalculate Metrics Reset Filters
Show Labels for Nodes > 0 size:

0 0

Default Label Size: 0

0 20



Edges Type:



Layout Type:


 

Reset to Default
Language Processing Settings:

language logic: stop words:
 
merged nodes: unmerge
show as nodes: double brackets: categories as mentions:
discourse structure:
×  ⁝⁝ 
×  ⁝⁝ 
Network Structure Insights
 
mind-viral immunity:
N/A
  ?
stucture:
N/A
  ?
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.

Modularity
0
Influence Distribution
0
%
Topics Nodes in Top Topic Components Nodes in Top Comp
0
0
%
0
0
%
Nodes Av Degree Density Weighed Betweenness
0
0
0
0
 

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.
×  ⁝⁝ 
     
Main Topical Groups:

please, add your data to display the stats...
+     full stats   ?     show categories

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 using the Force Atlas algorithm (Jacomy et al) and are given a distinct color.
Most Influential Elements:
please, add your data to display the stats...
+     Reveal Non-obvious   ?

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:
N/A
?
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.


Reset Graph   Export: Show Options
Action Advice:
N/A
Structural Gap
(ask a research question that would link these two topics):
N/A
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
(less visible terms that link important topics):
N/A
?

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
N/A

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):
loading...
 ?  

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):
loading...

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:
reset filter    ?  

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.

Keyword Relations Analysis:

please, select the node(s) on the graph 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 / 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).

Text Statistics:
Word Count Unique Lemmas Characters Lemmas Density
0
0
0
0
Text Network Statistics:
Show Overlapping Nodes Only

⤓ Download as CSV  ⤓ Download an Excel File
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.
Find a market niche for a certain product, category, idea or service: what people are looking for but cannot yet find*

 
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:

   advanced settings    add data manually
Enter a search query to analyze the Twitter discourse around this topic (last 7 days):

     advanced settings    add data manually

Sign Up