Calculates the (normalised) mean number of checkerboard combinations (C-score) in a matrix
Reshape a webarray to a web X link matrix
Specialisation of a bipartite web.
Normalised degree, betweenness and closeness centrality
Paired Differences Index
A pollination web from Argentina
Calculates the variance-ratio as suggested by Schluter (1984)
Potential for Apparent Competition
Conversion of a network matrix
Calculates the node overlap and separation according to Strona \& Veech (2015)
Ensures that networks conform to the tnet stardards
Individuals caught in a pollination web in boreal Canada.
Individuals observed in a flower-visitation network of oil-collecting bees in a Brazilian steppe.
Calculates standardised specialisation index d' (d prime) for each species in the lower trophic level of a bipartite network.
Converts a table of observations into a network matrix
Calculates the functional complementarity for the rows of a web
Fits functions to cumulative degree distributions of both trophic levels of a network.
Indices of a bipartite network at the link level
Simulates extinction of a species from a bipartite network
Computes end-point degrees for a bipartite network
Analysis of bipartite ecological webs
Calculate network dissimilarity (beta diversity) and its components
listModuleInformation
Closeness centrality in a weighted network
Detects compartments
Calculates nestedness temperature of presence/absence matrices
Calculates the per-species contribution to nestedness (z-score relative to null model)
computeModules
Redefined clustering coefficient for two-mode networks
No. of visits in a pollination web of arctic-alpine Sweden
Deletes empty rows and columns from a matrix.
Generate a random bipartite web
Analysis of bipartite webs at the level of each of the two levels (groups) of the network
Computes nestedness of a matrix as WNODA (and NODF and WNODF)
ollerton2003
Calculates discrepancy of a matrix
plotModuleWeb
Calculates the node-based specialisation index
A flower visitation network from a peat bog in Ottawa, Canada
Projecting binary and weighted two-mode networks onto weighted one-mode networks.
A flower visitation network from Urbana, IL, USA
Organise matrix by topology
printoutModuleInformation
printoutModuleInformation
Distance in a weighted network
Betweenness centrality in a weighted network
Computes indices for a masked-one-mode network
A pollination network.
No. of individuals caught in a pollination web of a Japanese beech forest
A pollination network.
Secondary extinctions in bipartite networks
Null model with constrained connectance and moderately constrained marginal totals
Calculate various indices for network properties at the species level
Calculates any of several measures of nestedness
Flower visitation network from a meadow near Bristol, UK
A flower visitation network from the Azores
Function to sort bipartite webs
A pollination network from the Snowy Mountains of New South Wales, Australia
Flower visitation network
A pollination network.
Generates null models for network analysis
Calculates the number of identical co-presences and co-absences for species-on-islands
Computes c and z for network modules
A pollination network.
A pollination network from Northern Ellesmere Island, Canada
A pollination network.
A spring flower visitation network from North Carolina, USA
Weighted-Interaction Nestedness Estimator
Generate simulated network according to a given probability matrix
Flower visitation network from Melville Island, Northwest Territories, Canada
Null model based on fitted marginal distribution
Conversion of a network matrix into a (weighted) edge list
Examples for some analyses
Puts two or more webs into one array of webs
Generates matrix with same marginal totals for non-negative decimal values
Generates null models for network analysis by considering external abundances
Analysis of bipartite webs at the level of the entire network
Plot a matrix organised by topology
Class "moduleWeb"
Compares observed pattern to random webs.
Another flower visitation network from the Azores
Calculates the rank of a species in a matrix sorted for maximum nestedness
Functions "LPA_wb_plus" and "DIRT_LPA_wb_plus"
Function to draw a circular plot to visualise potential apparent competition (PAC)
Visualize a tripartite interaction matrix (e.g. a tritrophic foodweb)
A pollination network from the Canadian Rockies
Robustness to species extinctions
Shuffle web entries
Computes species strength according to either of two definitions
Visualize a bipartite interaction matrix (e.g. a foodweb)
Symmetrise_w
Creates null model for bipartite networks
Slope of extinction simulation
A pollination network.
A pollination network.
Exports a tnet network to an igraph object
Plotting function to visualize a bipartite food web
Log of bipartite versions and changes