Try it on infranodus.com 0:00 What you will learn 1:24 Generating a knowledge graph from Obsidian's text file 2:16 Force atlas layout - revealing context and clusters 4:20 Modularity metrics - community structure 5:40 💡Finding gaps and connecting them to improve graph connectivity 7:20 💡 Cognitive variability method - see more on 8:11 Using AI to improve graph's connectivity 9:16 Concept (graph node) analysis 10:00 💡 Betweenness centrality - the measure of influence in a network- and the social network analogy 12:48 Connections between pages in Obsidian's vault as an example 13:44 Another demo of betweenness centrality 14:02 💡 Top relations (bigrams) - using them to discover hidden content 15:20 Using Dot Graph text representation of a graph to build a ChatGPT diagram 16:14 💡 Remove underlying ideas - cutting off the top layer of ideas to reveal what's hiding underneath 17:08 Analyzing the topical trends - timeline analysis of a graph 18:50 Where to get advanced graph metrics (main InfraNodus version)
Hey Dmitry, this looks great! I use Obsidian a lot, so I guess this is why TH-cam recommended me this video. Do you have plans for something less automated? My use case is very different, but I keep hoping to see someone implement a professional graph analysis solution for it (right now I have a mish mash of my own tools, formats and pipelines). With your examples, it's all very dynamic, I assume you're targeting initial analysis, or insight extraction, or ideation, or other statistical processing, something like that (I'm not sure, so please forgive me if I'm wrong). In my workflows this is a very rare situation, for a very brief time interval, just orienting myself around some body of textual data (maybe a set of papers or smth). Most of the time, I need to have stable, editable, versioned views. I don't want nodes to jump around, I want to remember where I left them the last time. I don't want anything extracted randomly, I want to freeze some part and augment with some new subgraph. And so on. I want to be able to manually add/remove/edit subgraphs. Are you going to have functionality like this?
Thank you for this feedback! Well, actually the nodes' positions look exactly the same every time you open your Obsidian files. So you can always orient yourself around your content. Same goes for the folder views. You can just set up to look at the [[wiki links]] only, so the view will be quite stable. When you're talking about "freezing the graph" and augmenting it with another one, could you please elaborate what you mean, so I can understand it better? Thank you!
I am thinking about how to visualise the literature review matrix using this tool to categorise the themes and identify the gaps in the literature. Can you make a video on it.
Try it on infranodus.com
0:00 What you will learn
1:24 Generating a knowledge graph from Obsidian's text file
2:16 Force atlas layout - revealing context and clusters
4:20 Modularity metrics - community structure
5:40 💡Finding gaps and connecting them to improve graph connectivity
7:20 💡 Cognitive variability method - see more on
8:11 Using AI to improve graph's connectivity
9:16 Concept (graph node) analysis
10:00 💡 Betweenness centrality - the measure of influence in a network- and the social network analogy
12:48 Connections between pages in Obsidian's vault as an example
13:44 Another demo of betweenness centrality
14:02 💡 Top relations (bigrams) - using them to discover hidden content
15:20 Using Dot Graph text representation of a graph to build a ChatGPT diagram
16:14 💡 Remove underlying ideas - cutting off the top layer of ideas to reveal what's hiding underneath
17:08 Analyzing the topical trends - timeline analysis of a graph
18:50 Where to get advanced graph metrics (main InfraNodus version)
Amazing cutting edge application! I look forward to a time when it is more widely available to a larger community.
Thanks! What do you mean by more widely available by the way?
@@noduslabs - More accessible to more users.
Your best video, yet!!!
very nice
Hey Dmitry, this looks great! I use Obsidian a lot, so I guess this is why TH-cam recommended me this video.
Do you have plans for something less automated?
My use case is very different, but I keep hoping to see someone implement a professional graph analysis solution for it (right now I have a mish mash of my own tools, formats and pipelines).
With your examples, it's all very dynamic, I assume you're targeting initial analysis, or insight extraction, or ideation, or other statistical processing, something like that (I'm not sure, so please forgive me if I'm wrong).
In my workflows this is a very rare situation, for a very brief time interval, just orienting myself around some body of textual data (maybe a set of papers or smth).
Most of the time, I need to have stable, editable, versioned views. I don't want nodes to jump around, I want to remember where I left them the last time. I don't want anything extracted randomly, I want to freeze some part and augment with some new subgraph. And so on. I want to be able to manually add/remove/edit subgraphs.
Are you going to have functionality like this?
Thank you for this feedback! Well, actually the nodes' positions look exactly the same every time you open your Obsidian files. So you can always orient yourself around your content. Same goes for the folder views. You can just set up to look at the [[wiki links]] only, so the view will be quite stable.
When you're talking about "freezing the graph" and augmenting it with another one, could you please elaborate what you mean, so I can understand it better? Thank you!
Wich video is this with the introduction in InfraNodus, so that I can understand how I need to work with it and to know what capabilities it has.
This one is a pretty good intro in a similar direction: th-cam.com/video/XkVtGS-v_7k/w-d-xo.htmlsi=_9EPehVSZwssrd_z
Also this is an intro to InfraNodus interface: th-cam.com/video/vOG9XBStUr8/w-d-xo.htmlsi=uWjBCk-BLo0v8NVe
@@noduslabs thank you
@@noduslabs thank you
I am thinking about how to visualise the literature review matrix using this tool to categorise the themes and identify the gaps in the literature. Can you make a video on it.
Sure can you please give an example of how the data looks like? Maybe some sample files?