diff --git a/.gitignore b/.gitignore
index 7f0b2ca5..5ac925e3 100644
--- a/.gitignore
+++ b/.gitignore
@@ -3,7 +3,6 @@ inst/doc
 .Rhistory
 .RData
 .Ruserdata
-*.Rd
 data-raw/*
 docs/
 working/*
diff --git a/man/centrality.Rd b/man/centrality.Rd
new file mode 100644
index 00000000..76d94445
--- /dev/null
+++ b/man/centrality.Rd
@@ -0,0 +1,108 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/centrality.R
+\name{centrality}
+\alias{centrality}
+\alias{node_degree}
+\alias{node_closeness}
+\alias{node_betweenness}
+\alias{node_eigenvector}
+\title{Centrality for one- and two-mode networks}
+\usage{
+node_degree(
+  object,
+  weights = NULL,
+  mode = "out",
+  loops = TRUE,
+  normalized = FALSE
+)
+
+node_closeness(
+  object,
+  weights = NULL,
+  mode = "out",
+  normalized = FALSE,
+  cutoff = NULL
+)
+
+node_betweenness(
+  object,
+  weights = NULL,
+  directed = TRUE,
+  cutoff = NULL,
+  nobigint = TRUE,
+  normalized = FALSE
+)
+
+node_eigenvector(
+  object,
+  weights = NULL,
+  directed = FALSE,
+  options = igraph::arpack_defaults,
+  scale = FALSE,
+  normalized = FALSE
+)
+}
+\arguments{
+\item{object}{Either an igraph graph object or a matrix.}
+
+\item{weights}{The weight of the edges to use for the calculation. 
+Will be evaluated in the context of the edge data.}
+
+\item{mode}{How should edges be followed. Ignored for undirected graphs}
+
+\item{loops}{Should loops be included in the calculation}
+
+\item{normalized}{For one-mode networks, should Borgatti and Everett normalization be applied?}
+
+\item{cutoff}{maximum path length to use during calculations}
+
+\item{directed}{Should direction of edges be used for the calculations}
+
+\item{nobigint}{Should big integers be avoided during calculations}
+
+\item{options}{Settings passed on to `igraph::arpack()`}
+
+\item{scale}{Should the scores be scaled to range between 0 and 1?}
+}
+\value{
+Depending on how and what kind of an object is passed to the function,
+the function will return a `tidygraph` object where the nodes have been updated
+
+A numeric vector giving the betweenness centrality measure of each node.
+
+A numeric vector giving the eigenvector centrality measure of each node.
+}
+\description{
+These functions calculate common centrality measures for both one- and two-mode networks.
+They accept as objects matrices and `igraph` graphs, 
+and can be used within a tidygraph workflow.
+Importantly, these functions also offer correct normalization for two-mode networks.
+}
+\examples{
+node_degree(mpn_elite_mex)
+node_degree(southern_women)
+node_closeness(mpn_elite_mex)
+node_closeness(southern_women)
+node_betweenness(mpn_elite_mex)
+node_betweenness(southern_women)
+node_eigenvector(mpn_elite_mex)
+node_eigenvector(southern_women)
+}
+\references{
+Borgatti, Stephen P., and Martin G. Everett. "Network analysis of 2-mode data." Social networks 19.3 (1997): 243-270.
+
+Faust, Katherine. "Centrality in affiliation networks." Social networks 19.2 (1997): 157-191.
+}
+\seealso{
+Other two-mode measures: 
+\code{\link{centralization}},
+\code{\link{graph_clustering}()},
+\code{\link{node_constraint}()},
+\code{\link{node_smallworld}()}
+
+Other node-level measures: 
+\code{\link{node_constraint}()},
+\code{\link{node_smallworld}()}
+}
+\concept{node-level measures}
+\concept{two-mode measures}
diff --git a/man/centralization.Rd b/man/centralization.Rd
new file mode 100644
index 00000000..b0717972
--- /dev/null
+++ b/man/centralization.Rd
@@ -0,0 +1,73 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/centralization.R
+\name{centralization}
+\alias{centralization}
+\alias{graph_degree}
+\alias{graph_closeness}
+\alias{graph_betweenness}
+\title{Centralization for one- and two-mode networks}
+\usage{
+graph_degree(
+  object,
+  directed = c("all", "out", "in", "total"),
+  normalized = TRUE
+)
+
+graph_closeness(
+  object,
+  directed = c("all", "out", "in", "total"),
+  normalized = TRUE
+)
+
+graph_betweenness(
+  object,
+  directed = c("all", "out", "in", "total"),
+  normalized = TRUE
+)
+}
+\arguments{
+\item{object}{A matrix, igraph graph, or tidygraph object.}
+
+\item{directed}{Character string, “out” for out-degree, 
+“in” for in-degree, and "all" or “total” for the sum of the two. 
+For two-mode networks, "all" uses as numerator the sum of differences
+between the maximum centrality score for the mode 
+against all other centrality scores in the network,
+whereas "in" uses as numerator the sum of differences
+between the maximum centrality score for the mode 
+against only the centrality scores of the other nodes in that nodeset.}
+
+\item{normalized}{Logical scalar, whether the centrality scores are normalized.
+Different denominators are used depending on whether the object is one-mode or two-mode,
+the type of centrality, and other arguments.}
+}
+\value{
+A single centralization score if the object was one-mode,
+and two centralization scores if the object was two-mode.
+In the case of a two-mode network, 
+to return just the score for the first nodeset (rows), 
+append `$nodes1` to the end of the function call or returned object.
+To return just the score for the second nodeset (cols), 
+append `$nodes2` to the end of the function call or returned object.
+}
+\description{
+These functions measure the overall centralization for a network.
+}
+\examples{
+graph_degree(southern_women, directed = "in")
+graph_closeness(southern_women, directed = "in")
+graph_betweenness(southern_women, directed = "in")
+}
+\references{
+Borgatti, Stephen P, and Daniel S Halgin. 2011. ``Analyzing Affiliation Networks." In \emph{The SAGE Handbook of 
+Social Network Analysis}, edited by John Scott and Peter J Carrington, 417–33. London, UK: Sage.
+}
+\seealso{
+Other two-mode measures: 
+\code{\link{centrality}},
+\code{\link{graph_clustering}()},
+\code{\link{node_constraint}()},
+\code{\link{node_smallworld}()}
+}
+\concept{graph-level measures}
+\concept{two-mode measures}
diff --git a/man/convert.Rd b/man/convert.Rd
new file mode 100644
index 00000000..51cc2136
--- /dev/null
+++ b/man/convert.Rd
@@ -0,0 +1,80 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/convert.R
+\name{convert}
+\alias{convert}
+\alias{as_matrix}
+\alias{as_igraph}
+\alias{as_tidygraph}
+\alias{is_twomode}
+\title{migraph-consistent object classes}
+\usage{
+as_matrix(object)
+
+as_igraph(object, twomode = FALSE)
+
+as_tidygraph(object, twomode = FALSE)
+
+is_twomode(object)
+}
+\arguments{
+\item{object}{A data frame edgelist, matrix, igraph, or tidygraph object.}
+
+\item{twomode}{An option to override the heuristics for distinguishing incidence
+from adjacency matrices. By default FALSE.}
+}
+\value{
+An adjacency or incidence matrix, named if possible.
+
+An igraph graph object.
+
+A tidygraph tbl_graph class object
+
+A logical vector whether object is two-mode (TRUE) or not (FALSE)
+}
+\description{
+The `as_` functions in `{migraph}`
+typically accept edgelists (as data frames), matrices,
+igraph graph objects, or tidygraph tbl_graph objects,
+coercing them into the class designated in the function name.
+}
+\details{
+Behaviour is a little different depending on the data format.
+
+If the data frame is a 2 column edgelist,
+the first column will become the rows
+and the second column will become the columns.
+If the data frame is a 3 column edgelist,
+then the third column will be used as 
+the cell values or tie weights.
+If the data frame is more than 3 columns,
+the first column is full of character strings (i.e. is named)
+and the second column is numeric (e.g. 0 and 1)
+then it will be assumed that this is a matrix
+embedded in a data frame.
+
+Incidence matrices are typically inferred from unequal dimensions,
+but since in rare cases a matrix with equal dimensions may still
+be an incidence matrix, an additional argument `twomode` can be
+specified to override this heuristic.
+This information is usually already embedded in igraph and tidygraph objects.
+}
+\examples{
+\dontrun{
+test <- data.frame(id1 = c("A","B","B","C","C"),
+                   id2 = c("I","G","I","G","H"))
+as_matrix(test)
+}
+\dontrun{
+test <- data.frame(id1 = c("A","B","B","C","C"),
+                   id2 = c("I","G","I","G","H"))
+as_igraph(test)
+}
+\dontrun{
+test <- data.frame(id1 = c("A","B","B","C","C"),
+                   id2 = c("I","G","I","G","H"))
+as_tidygraph(test)
+}
+\dontrun{
+is_twomode(southern_women)
+}
+}
diff --git a/man/create.Rd b/man/create.Rd
new file mode 100644
index 00000000..06dce431
--- /dev/null
+++ b/man/create.Rd
@@ -0,0 +1,71 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/create.R
+\name{create}
+\alias{create}
+\alias{create_empty}
+\alias{create_complete}
+\alias{create_ring}
+\alias{create_components}
+\title{Create networks that conform to particular structures}
+\usage{
+create_empty(n)
+
+create_complete(n)
+
+create_ring(n, width = 1, directed = FALSE, ...)
+
+create_components(n, components = 2)
+}
+\arguments{
+\item{n}{Number of nodes. 
+If a single integer is given, the function will create a one-mode network.
+If a vector of two integers is given, e.g. `n = c(5,10)`,
+the function will create a two-mode network.}
+
+\item{width}{The width or breadth of the ring. This is typically double the degree.}
+
+\item{directed}{Whether the graph should be directed. By default FALSE.}
+
+\item{...}{Additional arguments passed on to igraph.}
+
+\item{components}{Number of components to create.}
+}
+\value{
+By default an igraph object will be returned,
+but this can be coerced into other types of objects
+using `as_matrix()` or `as_tidygraph()`.
+}
+\description{
+These functions create a host of different network objects.
+Despite the common syntax, what distinguishes them from
+those in other packages is that passing the `n` argument
+a vector of \emph{two} integers will return a two-mode
+network instead of a one-mode network.
+}
+\details{
+`create_empty()` creates an empty graph of the given dimensions.
+
+`create_complete()` creates a filled graph of the given dimensions.
+
+`create_ring()` creates a ring or chord graph of the given dimensions
+that loops around is of a certain width or thickness.
+
+\code{create_components()} creates a graph in which the nodes are clustered
+into separate components.
+}
+\examples{
+g <- create_empty(c(8,6))
+plot(g)
+g <- create_complete(c(8,6))
+plot(g)
+g <- create_ring(c(8,6), width = 2)
+plot(g)
+plot(create_components(c(10, 12), components = 3))
+}
+\seealso{
+as_matrix as_tidygraph as_network
+
+Other creation: 
+\code{\link{sample}()}
+}
+\concept{creation}
diff --git a/man/graph_clustering.Rd b/man/graph_clustering.Rd
new file mode 100644
index 00000000..5b8d9e3a
--- /dev/null
+++ b/man/graph_clustering.Rd
@@ -0,0 +1,51 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/clustering.R
+\name{graph_clustering}
+\alias{graph_clustering}
+\title{Clustering for one-, two-, and three- mode networks}
+\usage{
+graph_clustering(object, object2 = NULL)
+}
+\arguments{
+\item{object}{A one-mode or two-mode matrix, igraph, or tidygraph}
+
+\item{object2}{Optionally, a second (two-mode) matrix, igraph, or tidygraph}
+}
+\description{
+This function offers clustering methods for one-, two-, and three-mode networks.
+}
+\details{
+For one-mode networks, the function serves as a shallow wrapper for `igraph::transitivity`,
+since global transitivity is a regular measure for clustering or local density in one-mode networks.
+
+For two-mode networks, we calculate the proportion of three-paths in the network
+that are closed by fourth tie to establish a "shared four-cycle" structure.
+
+For three-mode networks, we calculate the proportion of three-paths spanning the two two-mode networks
+that are closed by a fourth tie to establish a "congruent four-cycle" structure.
+}
+\examples{
+graph_clustering(southern_women)
+}
+\references{
+Robins, Garry L, and Malcolm Alexander. 2004. 
+Small worlds among interlocking directors: Network structure and distance in bipartite graphs. 
+\emph{Computational & Mathematical Organization Theory} 10 (1): 69–94.
+
+Knoke, David, Mario Diani, James Hollway, and Dimitris C Christopoulos. 2021. 
+\href{https://www.cambridge.org/core/books/multimodal-political-networks/43EE8C192A1B0DCD65B4D9B9A7842128}{\emph{Multimodal Political Networks}}. 
+Cambridge University Press. Cambridge University Press.
+}
+\seealso{
+Other one-mode measures: 
+\code{\link{node_constraint}()}
+
+Other two-mode measures: 
+\code{\link{centrality}},
+\code{\link{centralization}},
+\code{\link{node_constraint}()},
+\code{\link{node_smallworld}()}
+}
+\concept{one-mode measures}
+\concept{three-mode measures}
+\concept{two-mode measures}
diff --git a/man/mpn_bristol.Rd b/man/mpn_bristol.Rd
new file mode 100644
index 00000000..3ead0e9c
--- /dev/null
+++ b/man/mpn_bristol.Rd
@@ -0,0 +1,26 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/data_bristol.R
+\docType{data}
+\name{mpn_bristol}
+\alias{mpn_bristol}
+\title{Bristol protest events, 1990-2002}
+\format{
+A matrix with 264 rows and columns. Node IDs are prefaced with a type identifier:
+\describe{
+  \item{1_}{150 Individuals, anonymised}
+  \item{2_}{97 Bristol Civic Organizations}
+  \item{3_}{17 Major Protest and Civic Events in Bristol, 1990-2002}
+}
+}
+\source{
+Knoke, Diani, Hollway, and Christopoulos. 2021. \emph{Multimodal Political Networks}. Cambridge University Press: Cambridge.
+}
+\usage{
+mpn_bristol
+}
+\description{
+A multimodal (3) matrix containing individuals affiliations to civic organizations
+in Bristol and their participation in major protest and civic events between 1990-2002,
+and the involvement of the organizations in these events.
+}
+\keyword{datasets}
diff --git a/man/mpn_elite_mex.Rd b/man/mpn_elite_mex.Rd
new file mode 100644
index 00000000..db78551b
--- /dev/null
+++ b/man/mpn_elite_mex.Rd
@@ -0,0 +1,30 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/data_elite_mex.R
+\docType{data}
+\name{mpn_elite_mex}
+\alias{mpn_elite_mex}
+\title{One-mode Mexican power elite database}
+\format{
+Matrix with 11 rows/columns
+}
+\source{
+Knoke, David. 1990. \emph{Political Networks}. 
+
+Knoke, David, Mario Diani, James Hollway, and Dimitris C Christopoulos. 2021. 
+\href{https://www.cambridge.org/core/books/multimodal-political-networks/43EE8C192A1B0DCD65B4D9B9A7842128}{\emph{Multimodal Political Networks}}. 
+Cambridge University Press. Cambridge University Press.
+}
+\usage{
+data(mpn_elite_mex)
+}
+\description{
+A network of 11 core members of the 1990s Mexican power elite (Knoke 2017), 
+three of which were successively elected presidents of Mexico: 
+José López Portillo (1976-82), Miguel de la Madrid (1982-88), and Carlos Salinas de Gortari (1988-94, 
+who was also the son of another core member, Raúl Salinas Lozano). 
+The undirected lines connecting pairs of men represent any formal, informal, 
+or organizational relation between a dyad; 
+for example, “common belonging (school, sports, business, political participation), 
+or a common interest (political power)” (Mendieta et al. 1997: 37).
+}
+\keyword{datasets}
diff --git a/man/mpn_elite_usa_advice.Rd b/man/mpn_elite_usa_advice.Rd
new file mode 100644
index 00000000..024b6e4c
--- /dev/null
+++ b/man/mpn_elite_usa_advice.Rd
@@ -0,0 +1,28 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/data_elite_usa_advice.R
+\docType{data}
+\name{mpn_elite_usa_advice}
+\alias{mpn_elite_usa_advice}
+\title{Two-mode American power elite database}
+\format{
+Matrix with 14 rows and 20 columns
+}
+\usage{
+data(mpn_elite_usa_advice)
+}
+\description{
+A 2-mode network of persons serving as directors or trustees of think tanks. 
+Think tanks are “public-policy research analysis and engagement organizations 
+that generate policy-oriented research, analysis, and advice on domestic and international issues, 
+thereby enabling policymakers and the public to make informed decisions about public policy” (McGann 2016: 6). 
+The Power Elite Database (Domhoff 2016) includes information on the directors of 33 prominent think tanks in 2012. 
+Here we include only 14 directors who held three or more seats among 20 think tanks.
+}
+\references{
+Domhoff, G William. 2016. \href{http://www2.ucsc.edu/whorulesamerica/power_elite/}{“Who Rules America? Power Elite Database.”}
+
+Knoke, David, Mario Diani, James Hollway, and Dimitris C Christopoulos. 2021. 
+\href{https://www.cambridge.org/core/books/multimodal-political-networks/43EE8C192A1B0DCD65B4D9B9A7842128}{\emph{Multimodal Political Networks}}. 
+Cambridge University Press. Cambridge University Press.
+}
+\keyword{datasets}
diff --git a/man/mpn_elite_usa_money.Rd b/man/mpn_elite_usa_money.Rd
new file mode 100644
index 00000000..56c6c22a
--- /dev/null
+++ b/man/mpn_elite_usa_money.Rd
@@ -0,0 +1,30 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/data_elite_usa_money.R
+\docType{data}
+\name{mpn_elite_usa_money}
+\alias{mpn_elite_usa_money}
+\title{Three-mode American power elite database}
+\format{
+Matrix with 26 rows and 6+6 columns
+}
+\usage{
+data(mpn_elite_usa_money)
+}
+\description{
+This data is based on 26 elites who sat on the boards of directors 
+for at least two of six economic policy making organizations (Domhoff 2016),
+and also made campaign contributions to one or more of six candidates 
+running in the primary election contests for the 2008 Presidential nominations 
+of the Republican Party (Rudy Giuliani, John McCain, Mitt Romney) 
+or the Democratic Party (Hillary Clinton, Christopher Dodd, Barack Obama).
+}
+\references{
+Domhoff, G William. 2016. \href{http://www2.ucsc.edu/whorulesamerica/power_elite/}{“Who Rules America? Power Elite Database.”}
+
+The Center for Responsive Politics. 2019. \href{http://www.opensecrets.org}{“OpenSecrets.”}
+
+Knoke, David, Mario Diani, James Hollway, and Dimitris C Christopoulos. 2021. 
+\href{https://www.cambridge.org/core/books/multimodal-political-networks/43EE8C192A1B0DCD65B4D9B9A7842128}{\emph{Multimodal Political Networks}}. 
+Cambridge University Press. Cambridge University Press.
+}
+\keyword{datasets}
diff --git a/man/mpn_evs.Rd b/man/mpn_evs.Rd
new file mode 100644
index 00000000..f0becb87
--- /dev/null
+++ b/man/mpn_evs.Rd
@@ -0,0 +1,65 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/data_evs.R
+\docType{data}
+\name{mpn_evs}
+\alias{mpn_evs}
+\alias{mpn_IT_1990}
+\alias{mpn_IT_2008}
+\alias{mpn_DE_1990}
+\alias{mpn_DE_2008}
+\alias{mpn_UK_1990}
+\alias{mpn_UK_2008}
+\title{European Values Survey, 1990 and 2008}
+\format{
+Matrices with 14 columns:
+\describe{
+  \item{Welfare}{1 if individual associated}
+  \item{Religious}{1 if individual associated}
+  \item{Education.culture}{1 if individual associated}
+  \item{Unions}{1 if individual associated}
+  \item{Parties}{1 if individual associated}
+  \item{Local.political.groups}{1 if individual associated}
+  \item{Human.rights}{1 if individual associated}
+  \item{Environmental.animal}{1 if individual associated}
+  \item{Professional}{1 if individual associated}
+  \item{Youth}{1 if individual associated}
+  \item{Sports}{1 if individual associated}
+  \item{Women}{1 if individual associated}
+  \item{Peace}{1 if individual associated}
+  \item{Health}{1 if individual associated}
+}
+
+An object of class \code{tbl_graph} (inherits from \code{igraph}) of length 10.
+
+An object of class \code{tbl_graph} (inherits from \code{igraph}) of length 10.
+
+An object of class \code{tbl_graph} (inherits from \code{igraph}) of length 10.
+
+An object of class \code{tbl_graph} (inherits from \code{igraph}) of length 10.
+
+An object of class \code{tbl_graph} (inherits from \code{igraph}) of length 10.
+}
+\source{
+Knoke, Diani, Hollway, and Christopoulos. 2021. \emph{Multimodal Political Networks}. Cambridge University Press: Cambridge.
+}
+\usage{
+data(mpn_IT_1990)
+
+data(mpn_IT_2008)
+
+data(mpn_DE_1990)
+
+data(mpn_DE_2008)
+
+data(mpn_UK_1990)
+
+data(mpn_UK_2008)
+}
+\description{
+6 two-mode matrices containing individuals' memberships to 14 different types of associations
+in three countries (Italy, Germany, and the UK) in 1990 and 2008.
+The Italy data has 658 respondents in 1990 and 540 in 2008.
+The Germany data has 1369 respondents in 1990 and 503 in 2008.
+The UK data has 738 respondents in 1990 and 664 in 2008.
+}
+\keyword{datasets}
diff --git a/man/mpn_ryanair.Rd b/man/mpn_ryanair.Rd
new file mode 100644
index 00000000..356f917c
--- /dev/null
+++ b/man/mpn_ryanair.Rd
@@ -0,0 +1,28 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/data_ryanair.R
+\docType{data}
+\name{mpn_ryanair}
+\alias{mpn_ryanair}
+\title{Ryanair data, EU policy influence network in June 2004}
+\format{
+Matrix with 20 rows/columns
+}
+\source{
+Christopoulos, Dimitrios C. 2006. 
+“Relational Attributes of Political Entrepreneurs: a Network Perspective.” 
+\emph{Journal of European Public Policy} 13 (5): 757–78.
+
+Knoke, Diani, Hollway, and Christopoulos. 2021. \emph{Multimodal Political Networks}. Cambridge University Press: Cambridge.
+}
+\usage{
+data(mpn_ryanair)
+}
+\description{
+Network of anonymised actors reacting to the Ryanair/Charleroi decision of the EU Commission in February 2004.
+The relationships mapped comprise an account of public records of interaction supplemented with the cognitive network of key informants.
+Examination of relevant communiques, public statements and a number of off-the-record interviews provides confidence
+that the network mapped closely approximated interactions between 29 January and 12 February 2004.
+The time point mapped is at the height of influence and interest intermediation played by actors in the AER, 
+a comparatively obscure body representing the interests of a number of European regional bodies at the EU institutions.
+}
+\keyword{datasets}
diff --git a/man/mpn_senate112.Rd b/man/mpn_senate112.Rd
new file mode 100644
index 00000000..1d077814
--- /dev/null
+++ b/man/mpn_senate112.Rd
@@ -0,0 +1,46 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/data_senate112.R
+\docType{data}
+\name{mpn_senate112}
+\alias{mpn_senate112}
+\alias{mpn_DemSxP}
+\alias{mpn_RepSxP}
+\alias{mpn_OverSxP}
+\title{112th Congress Senate Voting}
+\format{
+Matrix of 51 rows (Senators) and 63 columns (PACS)
+
+Matrix of 62 rows (Senators) and 72 columns (PACS)
+
+Matrix of 20 rows (Senators) and 32 columns (PACS)
+}
+\source{
+Knoke, Diani, Hollway, and Christopoulos. 2021. \emph{Multimodal Political Networks}. Cambridge University Press: Cambridge.
+}
+\usage{
+data(mpn_DemSxP)
+
+data(mpn_RepSxP)
+
+data(mpn_OverSxP)
+}
+\description{
+These datasets list the U.S. Senators who served in the 112th Congress, 
+which met from January 3, 2011 to January 3, 2013. 
+Although the Senate has 100 seats, 103 persons served during this period due to two resignations and a death. 
+However, the third replacement occurred only two days before the end and cast no votes on the bills investigated here. 
+Hence, the number of Senators we analyzed is 102.
+}
+\details{
+CQ Almanac identified 25 key bills on which the Senate voted during the 112th Congress,
+and which Democratic and Republican Senators voting “yea” and “nay” on each proposal.
+
+Lastly, we obtained data on campaign contributions made by 92 PACs from the Open Secrets Website. 
+We recorded all contributions made during the 2008, 2010, and 2012 election campaigns 
+to the 102 persons who were Senators in the 112th Congress. 
+The vast majority of PAC contributions to a candidate during a campaign was for $10,000 
+(the legal maximum is $5,000 each for a primary and the general election). 
+We aggregated the contributions across all three electoral cycles, then dichotomized the sums into no contribution (0) 
+and any contribution (1).
+}
+\keyword{datasets}
diff --git a/man/netlm.Rd b/man/netlm.Rd
new file mode 100644
index 00000000..403b6b56
--- /dev/null
+++ b/man/netlm.Rd
@@ -0,0 +1,69 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/netlm.R
+\name{netlm}
+\alias{netlm}
+\alias{summary.netlm}
+\alias{print.summary.netlm}
+\title{Linear regression for multimodal network data}
+\usage{
+netlm(formula, data, ...)
+
+\method{summary}{netlm}(object, reps = 1000, ...)
+
+\method{print}{summary.netlm}(
+  x,
+  digits = max(3, getOption("digits") - 3),
+  signif.stars = getOption("show.signif.stars"),
+  ...
+)
+}
+\arguments{
+\item{formula}{A formula describing the relationship being tested.}
+
+\item{data}{A named list of matrices, graphs, or a tidygraph object.}
+
+\item{...}{Arguments passed on to `lm()`.}
+
+\item{object}{an object of class "netlm", usually as a result of a call to `netlm()`.}
+
+\item{reps}{Integer indicating the number of draws to use for quantile estimation. 
+(Relevant to the null hypothesis test only - the analysis itself is unaffected by this parameter.) 
+Note that, as for all Monte Carlo procedures, convergence is slower for more extreme quantiles. 
+By default, reps=1000.}
+
+\item{x}{an object of class "summary.netlm", usually, a result of a call to `summary.netlm()`.}
+
+\item{digits}{the number of significant digits to use when printing.}
+
+\item{signif.stars}{logical. If TRUE, ‘significance stars’ are printed for each coefficient.}
+}
+\description{
+This function extends the multiple regression quadratic assignment procedure (MRQAP)
+of network linear model to two mode networks.
+}
+\examples{
+\dontrun{
+mat1 <- matrix(c(0,1,1,0,0,1,1,1),4,2)
+mat2 <- matrix(c(0,1,0,1,0,1,0,1),4,2)
+mat3 <- matrix(c(0,0,1,1,0,0,1,1),4,2)
+lmat <- list(mat1 = mat1, mat2 = mat2, mat3 = mat3)
+example <- netlm(mat1 ~ mat2 + mat3 + lmat)
+}
+\dontrun{
+mat1 <- matrix(c(0,1,1,0,0,1,1,1),4,2)
+mat2 <- matrix(c(0,1,0,1,0,1,0,1),4,2)
+mat3 <- matrix(c(0,0,1,1,0,0,1,1),4,2)
+lmat <- list(mat1 = mat1, mat2 = mat2, mat3 = mat3)
+example <- netlm(mat1 ~ mat2 + mat3 + lmat)
+summary.netlm(example)
+}
+\dontrun{
+mat1 <- matrix(c(0,1,1,0,0,1,1,1),4,2)
+mat2 <- matrix(c(0,1,0,1,0,1,0,1),4,2)
+mat3 <- matrix(c(0,0,1,1,0,0,1,1),4,2)
+lmat <- list(mat1 = mat1, mat2 = mat2, mat3 = mat3)
+example <- netlm(mat1 ~ mat2 + mat3 + lmat)
+summary.netlm(example)
+print.summary.netlm(example)
+}
+}
diff --git a/man/node_constraint.Rd b/man/node_constraint.Rd
new file mode 100644
index 00000000..7ab73267
--- /dev/null
+++ b/man/node_constraint.Rd
@@ -0,0 +1,52 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/constraint.R
+\name{node_constraint}
+\alias{node_constraint}
+\title{Constraint for one- and two-mode networks}
+\usage{
+node_constraint(object, nodes = V(object), weights = NULL)
+}
+\arguments{
+\item{object}{A matrix, igraph graph, or tidygraph object.}
+
+\item{nodes}{The vertices for which the constraint will be calculated. 
+Defaults to all vertices.}
+
+\item{weights}{The weights of the edges. 
+If this is NULL and there is a weight edge attribute this is used. 
+If there is no such edge attribute all edges will have the same weight.}
+}
+\value{
+A named vector (one-mode) or a list of two named vectors (`$nodes1`, `$nodes2`).
+}
+\description{
+This function measures constraint for both one-mode and two-mode networks.
+For one-mode networks, the function wraps the implementation of Ron Burt's measure
+in `{igraph}`.
+For two-mode networks, the function employs the extension outlined in Hollway et al. (2020).
+}
+\examples{
+node_constraint(southern_women)
+}
+\references{
+Hollway, James, Jean-Frédéric Morin, and Joost Pauwelyn. 2020. 
+\href{https://link.springer.com/article/10.1007/s10784-019-09464-5}{"Structural conditions for novelty: the introduction of new environmental clauses to the trade regime complex."}
+\emph{International Environmental Agreements: Politics, Law and Economics} 20 (1): 61–83.
+}
+\seealso{
+Other one-mode measures: 
+\code{\link{graph_clustering}()}
+
+Other two-mode measures: 
+\code{\link{centrality}},
+\code{\link{centralization}},
+\code{\link{graph_clustering}()},
+\code{\link{node_smallworld}()}
+
+Other node-level measures: 
+\code{\link{centrality}},
+\code{\link{node_smallworld}()}
+}
+\concept{node-level measures}
+\concept{one-mode measures}
+\concept{two-mode measures}
diff --git a/man/node_smallworld.Rd b/man/node_smallworld.Rd
new file mode 100644
index 00000000..d39bc7c0
--- /dev/null
+++ b/man/node_smallworld.Rd
@@ -0,0 +1,48 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/smallworld.R
+\name{node_smallworld}
+\alias{node_smallworld}
+\title{Watts-Strogatz small-world model for two-mode networks}
+\usage{
+node_smallworld(object, n = 100)
+}
+\arguments{
+\item{object}{A matrix, igraph graph, or tidygraph object}
+
+\item{n}{Number of simulations}
+}
+\value{
+Returns a table of small-world related metrics for each second-mode node.
+}
+\description{
+Calculates small-world metrics for two-mode networks
+}
+\details{
+The first column of the returned table is simply the number of the second-mode column.
+The next three columns report the observed and expected clustering, 
+and the ratio of the former to the later.
+The next three columns report the observed and expected path-length,
+and the ratio of the former to the later.
+The last column reports the ratio of the observed/expected clustering ratio
+to the observed/expected path-length ratio, which is known as a small-world metric.
+Expected clustering and paths is the mean of twomode_clustering and mean_distance
+over 100 random simulations with the same row and column sums.
+}
+\examples{
+node_smallworld(southern_women)
+}
+\seealso{
+\code{\link{graph_clustering}} for how clustering is calculated
+
+Other two-mode measures: 
+\code{\link{centrality}},
+\code{\link{centralization}},
+\code{\link{graph_clustering}()},
+\code{\link{node_constraint}()}
+
+Other node-level measures: 
+\code{\link{centrality}},
+\code{\link{node_constraint}()}
+}
+\concept{node-level measures}
+\concept{two-mode measures}
diff --git a/man/plot.igraph.Rd b/man/plot.igraph.Rd
new file mode 100644
index 00000000..635dff9a
--- /dev/null
+++ b/man/plot.igraph.Rd
@@ -0,0 +1,21 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/plot.R
+\name{plot.igraph}
+\alias{plot.igraph}
+\title{Plotting of one-mode and two-mode graphs}
+\usage{
+\method{plot}{igraph}(x, ...)
+}
+\arguments{
+\item{x}{A migraph-compatible object, especially an igraph graph object}
+
+\item{...}{Additional arguments passed on to igraph.}
+}
+\description{
+Plotting of one-mode and two-mode graphs
+}
+\examples{
+mat1 <- create_ring(5,10)
+plot.igraph(mat1)
+}
+\concept{plotting}
diff --git a/man/project.Rd b/man/project.Rd
new file mode 100644
index 00000000..66efd4b7
--- /dev/null
+++ b/man/project.Rd
@@ -0,0 +1,39 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/project.R
+\name{project}
+\alias{project}
+\alias{project_rows}
+\alias{project_cols}
+\title{Projecting two-mode objects into one-mode objects}
+\usage{
+project_rows(object)
+
+project_cols(object)
+}
+\arguments{
+\item{object}{A matrix, `igraph` graph or `tidygraph` tbl_graph object.}
+}
+\description{
+These functions 'project' or convert a two-mode object
+in any format -- tidygraph, igraph, or matrix --
+into a corresponding one-mode object.
+}
+\details{
+`project_rows()` results in a weighted one-mode object
+that retains the row nodes from a two-mode object,
+and weights the ties between them on the basis of
+their joint ties to nodes in the second mode (columns).
+
+`project_cols()` results in a weighted one-mode object
+that retains the column nodes from a two-mode object,
+and weights the ties between them on the basis of
+their joint ties to nodes in the first mode (rows).
+}
+\examples{
+\dontrun{
+project_rows(southern_women)
+}
+\dontrun{
+project_cols(southern_women)
+}
+}
diff --git a/man/reexports.Rd b/man/reexports.Rd
new file mode 100644
index 00000000..620d8db6
--- /dev/null
+++ b/man/reexports.Rd
@@ -0,0 +1,27 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/reexports_igraph.R, R/reexports_tidygraph.R
+\docType{import}
+\name{reexports}
+\alias{reexports}
+\alias{is.igraph}
+\alias{is_bipartite}
+\alias{\%>\%}
+\alias{with_graph}
+\alias{is.tbl_graph}
+\alias{.G}
+\alias{.N}
+\alias{.E}
+\title{Objects exported from other packages}
+\keyword{internal}
+\description{
+These objects are imported from other packages. Follow the links
+below to see their documentation.
+
+\describe{
+  \item{igraph}{\code{\link[igraph:is_igraph]{is.igraph}}, \code{\link[igraph:make_bipartite_graph]{is_bipartite}}}
+
+  \item{magrittr}{\code{\link[magrittr:pipe]{\%>\%}}}
+
+  \item{tidygraph}{\code{\link[tidygraph:context_accessors]{.E}}, \code{\link[tidygraph:context_accessors]{.G}}, \code{\link[tidygraph:context_accessors]{.N}}, \code{\link[tidygraph:tbl_graph]{is.tbl_graph}}, \code{\link[tidygraph]{with_graph}}}
+}}
+
diff --git a/man/sample.Rd b/man/sample.Rd
new file mode 100644
index 00000000..717911e1
--- /dev/null
+++ b/man/sample.Rd
@@ -0,0 +1,40 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/sample.R
+\name{sample}
+\alias{sample}
+\alias{sample_affiliation}
+\title{Sample networks according to certain probabilities}
+\usage{
+sample_affiliation(n, p, m)
+}
+\arguments{
+\item{n}{Integer vector of length 2. 
+The first number is the number of nodes in the first nodeset (rows),
+and the second number becomes the number of nodes in the second nodeset (columns).}
+
+\item{p}{Number of edges in the network over the number of edges possible}
+
+\item{m}{Number of edges in the network}
+
+\item{as}{What type of object to return.
+One of "matrix", "tidygraph", "igraph".
+By default, creates tidygraph's "tbl_graph" object.}
+}
+\description{
+Sample networks according to certain probabilities
+}
+\details{
+Creates a random two-mode network.
+Will construct an affiliation matrix,
+with a certain probability of a tie.
+}
+\examples{
+sample_affiliation(c(10, 12), 0.25) \%>\% ggraph::ggraph() +
+ggraph::geom_edge_fan(ggplot2::aes(alpha = stat(index)), show.legend = FALSE) +
+ggraph::geom_node_point(ggplot2::aes(size = 5))
+}
+\seealso{
+Other creation: 
+\code{\link{create}}
+}
+\concept{creation}
diff --git a/man/southern_women.Rd b/man/southern_women.Rd
new file mode 100644
index 00000000..1f275dee
--- /dev/null
+++ b/man/southern_women.Rd
@@ -0,0 +1,20 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/data_southern_women.R
+\docType{data}
+\name{southern_women}
+\alias{southern_women}
+\title{Two-mode southern women dataset}
+\format{
+igraph graph object
+}
+\usage{
+data(southern_women)
+}
+\description{
+Two-mode network dataset collected by Davis, Gardner and Gardner (1941) about women and social events.
+}
+\references{
+Davis, A., Gardner, B., and Gardner, R. 1941. \emph{Deep South}. 
+Chicago: University of Chicago Press.
+}
+\keyword{datasets}