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Animal Social Network Inference and Permutations for Ecologists
Implements several tools that are used in animal social network analysis, as described in Whitehead (2007) Analyzing Animal Societies
Inferring Large-Scale Gene Networks with C3NET
Allows inferring gene regulatory networks with direct physical interactions from microarray expression data using C3NET.
Network Sparsification
Network sparsification with a variety of novel and known network sparsification
techniques. All network sparsification techniques reduce the number of edges, not the number
of nodes. Network sparsification is sometimes referred to as network dimensionality reduction.
This package is based on the work of Spielman, D., Srivastava, N. (2009)
Clustering for networks
Facilitates network clustering and evaluation of cluster configurations.
Network Explorer
Social network analysis has become an essential tool in the study of complex systems. 'NetExplorer' allows to visualize and explore complex systems. It is based on 'd3js' library that brings 1) Graphical user interface; 2) Circular, linear, multilayer and force Layout; 3) Network live exploration and 4) SVG exportation.
ROBustness in Network
Assesses the robustness of the community structure of a network found by one or more community detection algorithm to give indications about their reliability. It detects if the community structure found by a set of algorithms is statistically significant and compares the different selected detection algorithms on the same network. robin helps to choose among different community detection algorithms the one that better fits the network of interest. Reference in Policastro V., Righelli D., Carissimo A., Cutillo L., De Feis I. (2021) < https://journal.r-project.org/archive/2021/RJ-2021-040/index.html>.
Geographic Networks
Provides classes and methods for handling networks or graphs whose nodes are geographical (i.e. locations in the globe). The functionality includes the creation of objects of class geonetwork as a graph with node coordinates, the computation of network measures, the support of spatial operations (projection to different Coordinate Reference Systems, handling of bounding boxes, etc.) and the plotting of the geonetwork object combined with supplementary cartography for spatial representation.
Statistical Network Analysis of Animal Social Networks
Obtain network structures from animal GPS telemetry observations and statistically analyse them to assess their adequacy for social network analysis. Methods include pre-network data permutations, bootstrapping techniques to obtain confidence intervals for global and node-level network metrics, and correlation and regression analysis of the local network metrics.
Statistical Network Models for Dynamic Network Data
Tools for fitting statistical network models to dynamic network data.
Can be used for fitting both dynamic network actor models ('DyNAMs') and
relational event models ('REMs').
Stadtfeld, Hollway, and Block (2017a)
Tools for Generating, Visualizing, and Analysing Link Communities in Networks
Link communities reveal the nested and overlapping
structure in networks, and uncover the key nodes that form connections
to multiple communities. linkcomm provides a set of tools for
generating, visualizing, and analysing link communities in networks of
arbitrary size and type. The linkcomm package also includes tools for
generating, visualizing, and analysing Overlapping Cluster Generator
(OCG) communities. Kalinka and Tomancak (2011)