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