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Returns a random graph using Barabási–Albert preferential attachment
A graph of nodes is grown by attaching new nodes each with edges that are preferentially attached to existing nodes with high de…
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This could be how we create scattered tribes, and then join them in the creation of cultures. Likewise, as population increases, using these models to represent the populations in cities, etc.
Obvi…
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While I cannot share the node embedding (for now) since I am gzipping it to upload it on internet archive, in the meantime I can share some visualizations on the TransE embedding made with the GraPE l…
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Analogous to the TransE visualization, but this time with CBOW (first order random walk sampling).
 where I expected most agents to have a cumulative-degree of 200…
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I am trying to run the following example code provided at https://github.com/bgirault-ensai/GSP-Intro-GraSP-Code. I have installed GraSP toolbox for matlab.
> N = 30;
>
> % Erdos-Renyi: Uniform …
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>If this is a request for a new term, please provide us with the following information.
>1. Preferred term label
**sex ratio distortion**
>3. Textual definition
**deviation from expected …
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Allow the model to add more randomness. Instead of setting the adoption rule to be deterministic, i.e. if exposure > threshold then adopt, it should be something like exposure > threshold + eps, where…
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I am rather inexperienced with graph theory so I don't know where this line of thought leads, but when I was toying around with how to produce a generative model with a null hypothesis kinda-sorta-sim…
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I created a preferential graph using snap, of 10 million nodes. job ID: eecf58ec-cb92-41eb-83b4-b35c5921d4ac
I am trying to see whether the file got generated correctly, since the structural anal…