alluvial - Alluvial Diagrams
Creating alluvial diagrams (also known as parallel sets plots) for multivariate and time series-like data.
Last updated 3 years ago
10.48 score 140 stars 8 packages 237 scripts 3.6k downloadsintergraph - Coercion Routines for Network Data Objects
Functions implemented in this package allow to coerce (i.e. convert) network data between classes provided by other R packages. Currently supported classes are those defined in packages: network and igraph.
Last updated 9 months ago
10.02 score 21 stars 19 packages 580 scripts 5.0k downloadsoai - General Purpose 'Oai-PMH' Services Client
A general purpose client to work with any 'OAI-PMH' (Open Archives Initiative Protocol for 'Metadata' Harvesting) service. The 'OAI-PMH' protocol is described at <http://www.openarchives.org/OAI/openarchivesprotocol.html>. Functions are provided to work with the 'OAI-PMH' verbs: 'GetRecord', 'Identify', 'ListIdentifiers', 'ListMetadataFormats', 'ListRecords', and 'ListSets'.
Last updated 2 years ago
data-accessoai-pmhpeer-reviewedscholarly-api
8.43 score 14 stars 23 packages 23 scripts 4.8k downloadsrgraph6 - Representing Graphs as 'graph6', 'digraph6' or 'sparse6' Strings
Encode network data as strings of printable ASCII characters. Implemented functions include encoding and decoding adjacency matrices, edgelists, igraph, and network objects to/from formats 'graph6', 'sparse6', and 'digraph6'. The formats and methods are described in McKay, B.D. and Piperno, A (2014) <doi:10.1016/j.jsc.2013.09.003>.
Last updated 1 months ago
network-analysis
5.78 score 12 stars 8 scripts 230 downloadslinkprediction - Link Prediction Methods
Implementations of most of the existing proximity-based methods of link prediction in graphs. Among the 20 implemented methods are e.g.: Adamic L. and Adar E. (2003) <doi:10.1016/S0378-8733(03)00009-1>, Leicht E., Holme P., Newman M. (2006) <doi:10.1103/PhysRevE.73.026120>, Zhou T. and Zhang Y (2009) <doi:10.1140/epjb/e2009-00335-8>, and Fouss F., Pirotte A., Renders J., and Saerens M. (2007) <doi:10.1109/TKDE.2007.46>.
Last updated 11 months ago
5.23 score 12 stars 14 scripts 197 downloadslinkprediction - Link Prediction Methods
Implementations of most of the existing proximity-based methods of link prediction in graphs. Among the 20 implemented methods are e.g.: Adamic L. and Adar E. (2003) <doi:10.1016/S0378-8733(03)00009-1>, Leicht E., Holme P., Newman M. (2006) <doi:10.1103/PhysRevE.73.026120>, Zhou T. and Zhang Y (2009) <doi:10.1140/epjb/e2009-00335-8>, and Fouss F., Pirotte A., Renders J., and Saerens M. (2007) <doi:10.1109/TKDE.2007.46>.
Last updated 11 months ago
5.23 score 12 stars 14 scripts 191 downloadsnetseg - Measures of Network Segregation and Homophily
Segregation is a network-level property such that edges between predefined groups of vertices are relatively less likely. Network homophily is a individual-level tendency to form relations with people who are similar on some attribute (e.g. gender, music taste, social status, etc.). In general homophily leads to segregation, but segregation might arise without homophily. This package implements descriptive indices measuring homophily/segregation. It is a computational companion to Bojanowski & Corten (2014) <doi:10.1016/j.socnet.2014.04.001>.
Last updated 1 years ago
homophilysegregationsocial-networks
5.01 score 17 stars 12 scripts 191 downloadsisnar - Introduction to Social Network Analysis with R
Functions and datasets accompanying the workshop "Introduction to Social Network Analysis with R" on annual INSNA Sunbelt conferences.
Last updated 4 years ago
2.86 score 8 stars 18 scriptsNSUM - Network Scale Up Method
A Bayesian framework for population group size estimation using the Network Scale Up Method (NSUM). Size estimates are based on a random degree model and include options to adjust for barrier and transmission effects.
Last updated 2 years ago
2.48 score 7 scripts 16 downloadsstansum - Bayesian Models for Aggregated Relational Data and Network Scale-Up Method
Interface to various precompiled Stan models for Aggregated Relational Data that estimate, among other things, network degrees. Includes models by Zheng et al (2006) <doi:10.1198/016214505000001168>, Maltiel et al (2015) <doi:10.1214/15-AOAS827>, Baum & Marsden (2023) <doi:10.1016/j.socnet.2023.02.001>.
Last updated 7 months ago
2.18 score 1 scripts