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Added: - `netUtils` under "Relational data management and conversion tools"; and - `g6R` under "Dynamic visualisation"
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NetworkAnalysis.md

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@@ -188,6 +188,11 @@ allows to easily convert objects produced by Statnet packages into
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leveraging multiple packages' functionalities and ensuring compatibility between
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several users' workflows too many additional functionalities.
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- Similarly, `r pkg("netUtils")` supplies a collection of helper functions for
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working with network objects including the extraction of sub‑graphs, computing
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basic statistics, converting between common network classes (not least
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from/to igraph and the statnet suite).
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- `r pkg("BoolNet")` provides tools for assembling, analyzing and visualizing
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synchronous and asynchronous (probabilistic) Boolean networks as well as simpler
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Boolean networks. All the main functions are described in a handy
@@ -315,7 +320,7 @@ and `r pkg("ggraph")` based on the concept of stress majorization (See also
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`r pkg("edgebundle")`).
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- `r pkg("autograph")` includes a few more layout algorithms for multimodal
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networks.
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networks as well as sensible defaults for the automatic plotting of many graph objects.
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- `r bioc("Rgraphviz")`, available on Bioconductor, creates a direct link
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between the `r bioc("graph")` package and the _graphviz_ library.
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- `r pkg("ndtv")` renders network objects from the package
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`r pkg("networkDynamic")` as videos or interactive animations.
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- `r pkg("g6R")` provides an wrapper for the _G6.js_ graph visualisation engine, letting
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the user build interactive network visualisations with dozens of layouts,
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animations, and user‑interaction behaviours. In includes several plugins and the graphs
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are easily embedded in Shiny apps.
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### Centrality
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Both main ecosystems can compute betweenness, eigenvalue, power, and closeness

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