suggest_edge_series: Suggest an edge series

In ccjolley/cRimson: Social Network Analysis from Crimson Hexagon Exports

Description

The owner of a particular Twitter handle might want to increase his/her standing in a particular conversation through targeted engagement with specific handles. Given a graph metric to optimize, this function suggests new interactions that will yield the greatest improvements.

Usage

suggest_edge_series(g, n1, metric, num_steps, search_list = NULL,
  verbose = TRUE, uniq_n2 = TRUE)

Arguments

g	A graph object
n1	The name of the prospective retweeter
metric	Graph metric to optimize
num_steps	Number of iterations to perform
search_list	List of possible targets to search over (defaults to V(g), but choosing a shorter list of high-influence nodes will speed the search considerably)
verbose	Verbose output?
uniq_n2	Don't suggest the same partner more than once, even if repeated interactions would continue to boost your metric of choice.

Details

In general, this function is good for finding high-influence nodes that are relatively distant in the network from a node of interest.

TODO: I'm a little confused as to how I should export just one function from here!

Examples

library(dplyr)
library(igraph)
g <- sample_tweets %>%
  ws_to_graph() %>%
  graph_lcc()
slist <- page.rank(g)$vector %>%
  sort(decreasing=TRUE) %>%
  head(100) %>%
  names()
new_g <- suggest_edge_series(g,'@USAID',betweenness,5,search_list=slist)

ccjolley/cRimson documentation built on May 13, 2019, 2:16 p.m.