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Transmissions and Receptions in a Hop by Hop Network
Computes the expectation of the number of transmissions and receptions considering a Hop-by-Hop transport model with limited number of retransmissions per packet. It provides the theoretical results shown in Palma et. al.(2016)
Many Network Measures, Motifs, Members, and Models
A set of tools for analysing multimodal networks. It includes functions for measuring centrality, centralization, cohesion, closure, constraint and diversity, as well as for network block-modelling, regression, and diffusion models. The package is released as a complement to 'Multimodal Political Networks' (2021, ISBN:9781108985000), and includes various datasets used in the book. Built on the 'manynet' package, all functions operate with matrices, edge lists, and 'igraph', 'network', and 'tidygraph' objects, and on one-mode, two-mode (bipartite), and sometimes three-mode networks.
Tools for Temporal Social Network Analysis
Temporal SNA tools for continuous- and discrete-time longitudinal networks having vertex, edge, and attribute dynamics stored in the 'networkDynamic' format. This work was supported by grant R01HD68395 from the National Institute of Health.
Network Analysis on the Norwegian Road Network
A collection of GIS (Geographic Information System) functions in R, created for use in Statistics Norway. The functions are primarily related to network analysis on the Norwegian road network.
Transmissions and Receptions in an End to End Network
Computes the expectation of the number of transmissions and receptions considering an End-to-End transport model with limited number of retransmissions per packet. It provides theoretical results and also estimated values based on Monte Carlo simulations. It is also possible to consider random data and ACK probabilities.
Fit, Simulate and Diagnose Exponential-Family Models for Networks with Count Edges
A set of extensions for the 'ergm' package to fit weighted networks whose edge weights are counts. See Krivitsky (2012)
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.
Clustering for networks
Facilitates network clustering and evaluation of cluster configurations.
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>.