A massively parallel solver for the Influence Maximization problem, in the context of Independent Cascade models.

For more information, please read https://github.com/yiming-fang/Hascade/blob/main/Hascade-report.pdf

stack run -- [k] data/wiki_adj_list_[size].txt +RTS -lf -N[cores] -s

where k is the number of seed vertices, size is the total number of vertices in the graph (this has to correspond to an actual data file), and cores is the number of CPU cores to be ran in parallel.

threadscope hascade-exe.eventlog

cd data && python3 preprocess.py [size]