# Questions tagged [networks]

Refers to network theory as part of the graph theory. For questions about neural networks, use our [neural-networks] tag.

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### Request for references: Best way to estimate directed graphs *with* cycles

I have $n$ observations of $p$ random variables $\{Y_1,\dots,Y_p \}$. I know that each observation has been generated from a linear network model of the form $$Y = WY+\epsilon$$ and that the graph ...
31 views

### How to sample undirected graph/network data?

I recently want to test my network estimation algorithms and need to sample some data from undirected graphs. The natural way I think of was: Generate a sparse symmetric Precision matrix $P$. ...
71 views

### Network analyses on probabilistic graphical models

I recently see examples of network analyses (such as centrality measures from network/graph theory) being applied on probabilistic graphical models (e.g. Gaussian graphical model) and there is a ...
391 views

### Network science: How to calculate assortativity (Pearson's correlation) coefficient for this small network?

Let $A$ denote a weighted, directed network, where the weights in the rows are the out-degrees, and weights in the columns are the in-degrees: $A$ = \begin{bmatrix} 0 & 0 & 0 \\ 1 &...
58 views

### Hidden layers neural networks [closed]

So I am designing a neural network which will decide which way a character should move and look. I was thinking of breaking it into two different networks one for movement and one for direction. So ...
42 views

### Consider a directed network as an undirected one for topology parameter comparisons

I have a set of biologically relevant transcriptional regulatory networks which are bipartite with a set of transcription factors and the genes that they regulate. However, when I put my network on ...
2k views

### Check for similarity between networks/graphs with the same nodes, but different edge values

I have two networks which involve the same entities, but the quantities around which I have built the respective networks are different. What is a good way to compare the networks? Currently, I run ...
160 views

### Any intuition for why eigenvector centrality relates to walks of infinite length?

Some centrality measures can be interpreted in terms of walks. Degree centrality relates to a walk of length one: The more walks of length one reach a node, the higher this centrality measure. ...
114 views

### Hypothesis testing for higher density in subsets of a network/graph

I have a network with over 40k nodes and about 12 million edges (float weights) and have about 10k subsets of this network that I want to test for increased density. I can think of the following ...
234 views

### Setting initial assignments for mixed-membership stochastic blockmodel

I created two networks at two points (in the middle of the month and at the end of the month). Tried to run mmsb.collapsed.gibbs.sampler for the first network and obtained network communities. However,...
162 views

### Difference between real and random graphs in bipartite networks

I am trying to prove that my network is a real network and not a random network by doing certain tests in igraph. The clustering coefficient of my network is zero, so I wont be looking at that ...
25 views

### Spatial autocorrelation in a correlation maxtrix

I have obtained species observation data from a spatially dense sampling scheme. I know from previous analyses that there is significant (residual) autocorrelation for some, but not all species of the ...
46 views

### Finding conversation blocks in group chat

While analysing an IM group chat, the aim is to create a network with nodes as the group participants and the links corresponding to their conversations. Assuming that this chat has conversation ...
434 views

### Clustering Coefficient of zero in the Network

The clustering co-efficient of my real network is zero. As a matter of fact, all the nodes of the network have a clustering coefficient of zero. I am trying to compare my network to an ensemble of ...
113 views

### Modeling products (from sales data) in a graph network for clustering and product recommendations.

I have a high level question about whether or not graph networks would be an appropriate method to model a situation I'm studying. It's been a while since I last worked on a project building/analyzing ...
564 views

### How to generate random networks for comparison with my network?

I have a network of 361 nodes and 695 edges. I want to prove that my network is statistically significantly different from a random network. Small-world connectivity is a key parameter that has been ...
51 views

### Is my network a real network [closed]

I have a network with a 361 nodes and 695 edges. My objective is to prove that my network is real and not a random connection of nodes like in the case of a random network. So, I did some research and ...
378 views

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### Graph clustering algorithms which consider negative weights

I have a graph instance with weighted directed edges which values can be in range [-1,1]. I need to do clustering on this graph, in order to find out groups in which vertices are more correlated. I ...