The network structural equation modeling conducts a network
statistical analysis on a data frame of coincident observations of
multiple continuous variables [1].
It builds a pathway model by exploring a pool of domain knowledge guided
candidate statistical relationships between each of the variable pairs,
selecting the 'best fit' on the basis of a specific criteria such as
adjusted r-squared value.
This material is based upon work supported by the U.S. National Science
Foundation Award EEC-2052776 and EEC-2052662 for the MDS-Rely IUCRC Center,
under the NSF Solicitation:
NSF 20-570 Industry-University Cooperative Research Centers Program
[1] Bruckman, Laura S., Nicholas R. Wheeler, Junheng Ma, Ethan Wang,
Carl K. Wang, Ivan Chou, Jiayang Sun, and Roger H. French. (2013)
<doi:10.1109/ACCESS.2013.2267611>.

Tool for Comparison and Visualization of Multiple Networks
c(
person("Rocherno", "de Jongh", email = "rocherno.dejongh@hotmail.com", role = "aut"),
person("Pariya", "Behrouzi",  email = "pariya.behrouzi@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "https://orcid.org/0000-0001-6762-5433")))
We developed a comprehensive tool that helps with visualization and analysis of networks with the same variables across multiple factor levels. The 'netShiny' contains most of the popular network features such as centrality measures, modularity, and other summary statistics (e.g. clustering coefficient). It also contains known tools to look at the (dis)similarities between two networks, such as pairwise distance measures between networks, set operations on the nodes of the networks, distribution of the weights of the edges and a network representing the difference between two correlation matrices. The package 'netShiny' also contains tools to perform bootstrapping and find clusters in networks. See the 'netShiny' manual for more information, documentation and examples.
Rocherno de Jongh [aut],
Pariya Behrouzi [aut, cre] (<https://orcid.org/0000-0001-6762-5433>)

Miscellaneous Functions for Network Analysis
Provides a collection of network analytic (convenience) functions which are missing in other standard packages. This includes triad census with attributes <doi:10.1016/j.socnet.2019.04.003>, core-periphery models <doi:10.1016/S0378-8733(99)00019-2>, and several graph generators. Most functions are build upon 'igraph'.