A14: Analysis of Synthetic Graph Generation Methods for
Directed Network Graphs
SessionPoster Reception
Author
Event Type
ACM Student Research Competition
Poster
Reception
TimeTuesday, November 14th5:15pm -
7pm
LocationFour Seasons Ballroom
DescriptionHistorically, scientific experiments have been
conducted to generate scale-free network graphs based on
structure. Metrics used to measure veracity ensure the
integrity of a scale-free algorithm given a seed.
However, studies do not explore the performance benefits
or drawbacks of specific algorithms running on Apache
Spark and GraphX. Recognizing the lack of performance
benchmarks demands ensuring accuracy through
experimenting. This study will utilize the Stochastic
Kronecker Graph model to synthetically generate graphs
given a seed graph.
