Analysis of Diffusion and Contagion Processes on Networks

approx_geodesic | Approximate Geodesic Distances |

as.array.diffnet | Coerce a diffnet graph into an array |

as_dgCMatrix | Coerce a matrix-like objects to 'dgCMatrix' (sparse matrix) |

bass | Bass Model |

bootnet | Network Bootstrapping |

brfarmers | Brazilian Farmers |

brfarmersDiffNet | 'diffnet' version of the Brazilian Farmers data |

c.diffnet | Combine diffnet objects |

classify_adopters | Classify adopters accordingly to Time of Adoption and... |

classify_graph | Analyze an R object to identify the class of graph (if any) |

cumulative_adopt_count | Cummulative count of adopters |

dgr | Indegree, outdegree and degree of the vertices |

diag_expand | Creates a square matrix suitable for spatial statistics... |

diffnet-arithmetic | 'diffnet' Arithmetic and Logical Operators |

diffnet_check_attr_class | Infer whether 'value' is dynamic or static. |

diffnet-class | Creates a 'diffnet' class object |

diffnet_index | Indexing diffnet objects (on development) |

diffnetmatmult | Matrix multiplication |

diffusion-data | Diffusion Network Datasets |

diffusionMap | Creates a heatmap based on a graph layout and a vertex... |

drawColorKey | Draw a color key in the current device |

edgelist_to_adjmat | Conversion between adjacency matrix and edgelist |

edges_coords | Compute ego/alter edge coordinates considering alter's size... |

egonet_attrs | Retrieve alter's attributes (network effects) |

ego_variance | Computes variance of Y at ego level |

exposure | Ego exposure |

fakeDynEdgelist | Fake dynamic edgelist |

fakeEdgelist | Fake static edgelist |

fakesurvey | Fake survey data |

fakesurveyDyn | Fake longitudinal survey data |

grid_distribution | Distribution over a grid |

hazard_rate | Network Hazard Rate |

igraph | Coercion between graph classes |

infection | Susceptibility and Infection |

isolated | Find and remove isolated vertices |

kfamily | Korean Family Planning |

kfamilyDiffNet | 'diffnet' version of the Korean Family Planning data |

matrix_compare | Non-zero element-wise comparison between two sparse matrices |

medInnovations | Medical Innovation |

medInnovationsDiffNet | 'diffnet' version of the Medical Innovation data |

mentor_matching | Optimal Leader/Mentor Matching |

moran | Computes Moran's I correlation index |

netdiffuseR | netdiffuseR |

netdiffuseR-graphs | Network data formats |

netdiffuseR-options | 'netdiffuseR' default options |

netmatch | Matching Estimators with Network Data |

network | Coercion between 'diffnet', 'network' and 'networkDynamic' |

nvertices | Count the number of vertices/edges/slices in a graph |

permute_graph | Permute the values of a matrix |

plot_adopters | Visualize adopters and cumulative adopters |

plot_diffnet | Plot the diffusion process |

plot.diffnet | S3 plotting method for diffnet objects. |

plot_diffnet2 | Another way of visualizing diffusion |

plot_infectsuscep | Plot distribution of infect/suscep |

plot_threshold | Threshold levels through time |

pretty_within | Pretty numbers within a range. |

rdiffnet | Random diffnet network |

read_pajek | Read foreign graph formats |

read_ucinet_head | Reads UCINET files |

recode | Recodes an edgelist such that ids go from 1 to n |

rescale_vertex_igraph | Rescale vertex size to be used in 'plot.igraph'. |

rewire_graph | Graph rewiring algorithms |

rgraph_ba | Scale-free and Homophilic Random Networks |

rgraph_er | Erdos-Renyi model |

rgraph_ws | Watts-Strogatz model |

ring_lattice | Ring lattice graph |

round_to_seq | Takes a numeric vector and maps it into a finite length... |

select_egoalter | Calculate the number of adoption changes between ego and... |

struct_equiv | Structural Equivalence |

struct_test | Structure dependence test |

summary.diffnet | Summary of diffnet objects |

survey_to_diffnet | Convert survey-like data and edgelists to a 'diffnet' object |

threshold | Retrive threshold levels from the exposure matrix |

toa_diff | Difference in Time of Adoption (TOA) between individuals |

toa_mat | Time of adoption matrix |

transformGraphBy | Apply a function to a graph considering non-diagonal... |

vertex_covariate_compare | Comparisons at dyadic level |

vertex_covariate_dist | Computes covariate distance between connected vertices |

weighted_var | Computes weighted variance |

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