NetLogo / NetLogo/NW-Extension
Add weighted version of eigenvector centrality
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- Dominant language
- Scala
- Stars
- 66
- Forks
- 25
- PR merge metrics
- No merged PRs in 30d
Description
Requested by user.
This shouldn't be too hard to implement. This paper by Newman states that adding weights doesn't change anything: you still just use an eigenvector of the largest eigenvalue of the adjacency matrix. Thus, we should just be able to add in weight as factor in this line: https://github.com/NetLogo/NW-Extension/blob/hexy/src/main/org/nlogo/extensions/nw/algorithms/CentralityMeasurer.scala#L22
Contributor guide
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with hexy/src/main/org/nlogo/extensions/nw/algorithms/CentralityMeasurer.scala at line 22, then read the linked Newman paper to understand the weighted formulation. Done means the extension provides a weighted version of eigenvector centrality using the network's edge weights.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- scala
- Domain
- analytics
- Issue type
- Feature
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 52/100