Skip to content

Commit

Permalink
fixd broken urls in homepage
Browse files Browse the repository at this point in the history
  • Loading branch information
oxy86 committed Dec 9, 2024
1 parent 20dbac8 commit f53ef76
Showing 1 changed file with 3 additions and 3 deletions.
6 changes: 3 additions & 3 deletions src/content/docs/index.mdx
Original file line number Diff line number Diff line change
Expand Up @@ -43,14 +43,14 @@ description: "SocNetV is a cross-platform, user-friendly software for social net

SocNetV is a cross-platform, user-friendly free software application for social network analysis and visualization. With SocNetV you can:

- [Draw social networks](../docs/index.md#canvas) with a few clicks on a virtual canvas, load field data from a file in a [supported format](../docs/formats) ([GraphML](../docs/formats/#graphml-files), [GraphViz](../docs/formats/#graphviz-dot-files), Adjacency, EdgeList, GML, Pajek, UCINET, etc.), or crawl the internet to create a social network of connected webpages.
- [Draw social networks](../docs/gui) with a few clicks on a virtual canvas, load field data from a file in a [supported format](../docs/formats) ([GraphML](../docs/formats/#graphml-files), [GraphViz](../docs/formats/#graphviz-dot-files), Adjacency, EdgeList, GML, Pajek, UCINET, etc.), or crawl the internet to create a social network of connected webpages.
- Edit actors and ties through point-and-click, analyze graph and social network properties, produce beautiful HTML reports, and embed visualization layouts in the network.

### Main Features

- Standard graph and network cohesion metrics, such as [density](../docs/analysis/#cohesion-measures), [diameter](../docs/analysis/#diameter), [geodesics](../docs/analysis/#geodesics-matrix), [distances](../docs/index.md#DistancesMatrix), [connectedness](../docs/index.md#Connectedness), [eccentricity](../docs/analysis/#eccentricity), [clustering coefficient](../docs/analysis/#clustering-coefficient), reciprocity, etc.
- Standard graph and network cohesion metrics, such as [density](../docs/analysis/#cohesion-measures), [diameter](../docs/analysis/#diameter), [geodesics](../docs/analysis/#geodesics-matrix), [distances](../docs/analysis/#distances-matrix), [connectedness](../docs/analysis/#connectedness), [eccentricity](../docs/analysis/#eccentricity), [clustering coefficient](../docs/analysis/#clustering-coefficient), reciprocity, etc.
- Matrix routines: Adjacency plot, Laplacian matrix, Degree matrix, Cocitation, etc.
- Advanced measures for social network analysis such as [centrality and prestige indices](../docs/analysis/#centralities-and-prestige) (e.g., [eigenvector centrality](../docs/analysis/#eigenvector-centrality-or-gould-index-evc), [closeness centrality](../docs/analysis/#closeness-centrality-cc), [betweenness centrality](../docs/index.md#BC), [information centrality](../docs/index.md#IC), [power centrality](../docs/index.md#PC), [proximity prestige](../docs/index.md#PP), and [pagerank prestige](../docs/index.md#PRP)).
- Advanced measures for social network analysis such as [centrality and prestige indices](../docs/analysis/#centralities-and-prestige) (e.g., [eigenvector centrality](../docs/analysis/#eigenvector-centrality-or-gould-index-evc), [closeness centrality](../docs/analysis/#closeness-centrality-cc), [betweenness centrality](../docs/analysis/#betweenness-centrality-bc), [information centrality](../docs/analysis/#information-centrality-ic), [power centrality](../docs/analysis/#power-centrality-pc), [proximity prestige](../docs/analysis/#proximity-prestige-pp), and [pagerank prestige](../docs/analysis/#pagerank-prestige-prp)).
- Fast algorithms for [community detection](../docs/analysis/#community-detection), such as [triad census](../docs/analysis/#triad-census), [clique census](../docs/analysis/#clique-census), etc.
- Structural equivalence analysis using [hierarchical clustering](../docs/analysis), actor similarities, tie profile dissimilarities, and Pearson coefficients.
- [Layout models](../docs/visualisation) based on prominence indices (e.g., circular, level, nodal sizes by centrality score) or on force-directed placement (e.g., Kamada-Kawai, [Fruchterman-Reingold](../docs/index.md#LayoutFR)).
Expand Down

0 comments on commit f53ef76

Please sign in to comment.