Multiple origin estimation using community partitioning
origin_multiple(
events,
type = c("edm", "backtracking", "centrality"),
graph,
no = 2,
distance,
fast = TRUE,
...
)
origin_multiple
returns an list object with objects of class origin
of length no
numeric vector of event counts at specific time point
character specifying the method, 'edm'
, 'backtracking'
and 'centrality'
are available.
igraph object specifying the underlying network graph
numeric specifying the number of supposed origins
numeric matrix specifying the distance matrix
logical specifying community partitioning algorithm, default is 'TRUE'
that uses fastgreedy.community
, 'FALSE'
refers to leading.eigenvector.community
parameters to be passed to origin methods origin_edm
, origin_backtracking
or origin_centrality
Zang, W., Zhang, P., Zhou, C. and Guo, L. (2014) Discovering Multiple Diffusion Source Nodes in Social Networks. Procedia Computer Science, 29, 443-452. <DOI: 10.1016/j.procs.2014.05.040>
Other origin-est:
origin()