# 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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### How to interpret the minimum spanning tree in a fully-connected graph?

Can someone explain how the resulting graph is the minimum spanning tree (MST) from the fully-connected undirected graph? I don't understand how this is interpreted in this context. Definition ...
• 1,312
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### Is this Markov chain of a UAU-process (unaware - aware - unaware) convergent and why?

I am currently looking at a Markov chain of $UAU$-process on a uni-weighted undirected network. Where individuals are aware of certain arbitrary information or not. The individuals are the nodes of ...
11 views

### How can I model or estimate the probability of a given network connection in a bipartite graph of relationships that may or may not exist?

I have a large set of network data, with many groups. Within each group, there are some criteria for creating "candidate" relationships between entities. Below I have an example of 8 groups, ...
• 408
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### How can I code, process, and quantify the features of a hierarchical network in a scheme that admits siblingship but also auntship links?

I am new to network analysis and I am currently facing a challenge with coding, processing, and quantifying networks in a hierarchical scheme. In this scheme, nodes pertain to differing hierarchical ...
1 vote
42 views

### How to handle missing data when calculating network homophily/assortativity?

I am trying to calculate network homophily/assortativity for a graph. However, some of my nodes have missing values. It turns out igraph's assortativity functions have no "na.rm" function ...
• 381
12 views

### Inference on a Gaussian random field / undirected graph?

Assume I have an undirected graph with $D$ nodes, and a $D$-by-$D$ matrix with edge strengths between $0$ (implying conditional indepedence given all other nodes), and $1$ (implying complete ...
• 473
174 views

### Application of Bayesian Networks to tabular data

I have been going through some tutorials regarding Bayesian Networks, but i have yet to see them applied to tabular data, i.e. a dataset. I have created this dummy example to experiment, and attempt ...
36 views

### Compute assortativity for each type of nodes using igraph package

I want to compute the assortativity coefficient for each type of node using the assortativity_nominal() function from igraph package. However, this function only ...
• 13
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### preferential attachment exponent (pa.exp in R) and network centrality

Is there a paper showing how the preferential attachment exponent (pa.exp in R)of a network affects its centrality? From simulations, I saw that low pa.exp results in low centrality. That is expected. ...
• 33
95 views

### Graph/Network Clustering Models that Use Covariate Information

I have been reading about Clustering Models on Graph/Network data. For example, there seems to be a popular Clustering Model for Graph/Network data called Louvain Clustering (https://en.wikipedia.org/...
• 6,048
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### Normalization of coordinate in panel data? (timeseries)

I'm working with the neural networks and motion prediction on mesh data. Objective of neural network is to predict $T_p$ frames in the future, given previuos $T_s$ frames. We have let's say 10 objects....
39 views

### Bootnet case-dropping bootstrap stops with no specific error message

I'm running a network analysis in R using qgraph and bootnet. When running the case-dropping bootstrap to estimate correlation-stability coefficients of centrality indices, the alogithm simply "...
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1 vote
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### Methods to align/reduce distance between two or more 3D graph-spaces?

I'm trying to align multiple graphs of spatial data, similar to image registration, but on a 3D graphspace of a select feature. I have a bunch of point data with x,y,z coordinates that together, ...
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