Carlos Cinelli <carloscinelli@hotmail.com>, Thiago Cristiano Silva
<thiagochris@gmail.com>
Implements some risk measures for (financial) networks, such as DebtRank, Impact Susceptibility, Impact Diffusion and Impact Fluidity.

Network Comparison Based on Structural Equivalence and Graphlets
Qili Shi, Libing Shen, Qi Liao, Shun Zhang
Functions to evaluate
pair-wise similarity of two networks especially on high-dimensional data.

Implements numerous network filtering methods (TMFG; Massara, Di Matteo, & Aste (2016) <doi:10.1093/comnet/cnw015>, MaST; Chu & Liu (1965) and Edmonds (1967) <doi:10.6028/jres.071B.032>, ECO; Fallani, Latora, & Chavez (2017) <doi:10.1371/journal.pcbi.1005305>, and ECO+MaST; Fallani, Latora, & Chavez (2017) <doi:10.1371/journal.pcbi.1005305>), and several network measures (centrality, characteristic path length, clustering coefficient, and edge replication; Rubinov and Sporns (2010) <doi:10.1016/j.neuroimage.2009.10.003>).

Implements Information Filtering Networks (IFN; Barfuss, Massara, Di Matteo, & Aste, 2016 <doi:10.1103/PhysRevE.94.062306>), ECO (ECO; Fallani, Latora, & Chavez, 2017 <doi:10.1371/journal.pcbi.1005305>), and regression-based filtering network approaches (including the dependency network approach; Kenett, Tumminello, Madi, Gur-Gershogoren, Mantegna, & Ben-Jacob, 2010 <doi:10.1371/journal.pone.0015032>). Also implements several network measures like local network characteristics (e.g., centralities), global network characteristics (e.g., clustering coefficient), and edge replication (Rubinov & Sporns, 2010 <doi:10.1016/j.neuroimage.2009.10.003>). Finally, there are a few bootstrapping techniques that are aimed at increasing the reliability and reproducibility of network analysis (Tumminello, Coronnello, & Lillo, 2007 <doi:10.1142/S0218127407018415>).
Matrix, devtools, psych, qgraph, corrplot, RColorBrewer,
igraph, fdrtool

Methods and Measures for Brain, Cognitive, and Psychometric
Network Analysis
Implements network analysis and graph theory measures used in neuroscience, cognitive science, and psychology. Methods include various filtering methods and approaches such as threshold, dependency (Kenett, Tumminello, Madi, Gur-Gershogoren, Mantegna, & Ben-Jacob, 2010 <doi:10.1371/journal.pone.0015032>), Information Filtering Networks (Barfuss, Massara, Di Matteo, & Aste, 2016 <doi:10.1103/PhysRevE.94.062306>), and Efficiency-Cost Optimization (Fallani, Latora, & Chavez, 2017 <doi:10.1371/journal.pcbi.1005305>). Brain methods include the recently developed Connectome Predictive Modeling (see references in package). Also implements several network measures including local network characteristics (e.g., centrality), global network characteristics (e.g., clustering coefficient), and various other measures associated with the reliability and reproducibility of network analysis.
devtools, Matrix, psych, corrplot, RColorBrewer, fdrtool,
R.matlab, MASS, hypergeo, pwr, graph, igraph, qgraph, RBGL