Pith. sign in

REVIEW 1 cited by

Spring Embedders and Force Directed Graph Drawing Algorithms

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 1201.3011 v1 pith:DBUZGPSK submitted 2012-01-14 cs.CG cs.DMcs.DS

Spring Embedders and Force Directed Graph Drawing Algorithms

classification cs.CG cs.DMcs.DS
keywords algorithmsgraphsgraphembedderslayoutsmethodsspringtend
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
0 comments
Share X Bluesky LinkedIn Reddit HN
read the original abstract

Force-directed algorithms are among the most flexible methods for calculating layouts of simple undirected graphs. Also known as spring embedders, such algorithms calculate the layout of a graph using only information contained within the structure of the graph itself, rather than relying on domain-specific knowledge. Graphs drawn with these algorithms tend to be aesthetically pleasing, exhibit symmetries, and tend to produce crossing-free layouts for planar graphs. In this survey we consider several classical algorithms, starting from Tutte's 1963 barycentric method, and including recent scalable multiscale methods for large and dynamic graphs.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Contrastive learning of extragalactic stellar streams. Sculpting a latent space of representations with DES DR2 photometry

    astro-ph.GA 2026-01 conditional novelty 6.0

    Applying NNCLR contrastive learning to DES DR2 galaxy cutouts yields embeddings that cluster major-merger galaxies but not stellar streams; a tiered sigmoid scaling redirects the network's saliency toward low-surface-...