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AI Text Tools
Visible Statements AI Summary:
Summarize currently visible statements. To change visibility, use the Filter menu above or select topics or nodes on the graph.
filter is reset
, statements visible | Essential Statements AI Summary:
Filter the most important statements from the context based on the graph structure and use AI to summarize.
Serendipitous Statements AI Summary:
Filters two disconnected but relevant statements and generates an idea that links them together.
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Graph Language Processing Settings:
Specify the settings for your text-to-network conversion algorithm for this graph.
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one statement at a time
Dynamic Graph Settings
See the dynamic evolution of this graph: scroll or "play" the text entries to see how the text propagated through the network graph over time.
Play the Graph
current speed of the player:
0 2000
one statement at a time
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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)
Visible Statements (Tagged):
Export the currently filtered (visible) statements with all the meta-data tags (topics, sentiment).
CSV (Spreadsheet) MD (e.g.Obsidian)
Text Mining Analytics:
Summary of insights from the analytics panel. For specific in-depth exports, see the download button in the Analytics panel.
TXT Analytics Report CSV Report N-Grams CSV
Network Graph Data:
The raw data with all the statistics for further analysis in another software.
JSON CSV Gexf (Gephi)
All the Text (for backup and duplicating):
Plain text used to create this graph without any meta-data
Download Plain Text (All Statements)
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Save This Graph View:
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Delete This Graph:
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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.
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Total Nodes Shown:
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to:
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Show Nodes with Degree > 0:
0 0
Total Nodes Shown:
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Filter Graphs:
Filter Time Range
from: to:
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Show Labels for Nodes > 0 size:
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Default Label Size: 0
0 20
Edges Type:
Layout Type:
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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:
N/A
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.
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.
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.
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.