View source: R/influence_maximization.R
celf_plus_plus | R Documentation |
Returns the set of influential nodes identified by CELF++ algorithm
celf_plus_plus(graph, budget = 1, test_method)
graph |
the igraph object |
budget |
number of influential nodes to be fetched. Default value is 1 |
test_method |
specifies the method to measure influence. Value MUST be "RESILIENCE", "INFLUENCE_IC" or "INFLUENCE_LT" |
output containing summary
Leskovec, J., Krause, A., Guestrin, C., Faloutsos, C., VanBriesen, J., & Glance, N. (2007). Cost-effective Outbreak Detection in Networks. Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD ’07, 420–429.
{celf_plus_plus(graph=erdos.renyi.game(100, 0.2), 10, "INFLUENCE_LT")}
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