Institute for Software Research International
School of Computer Science, Carnegie Mellon University
Generation of Realistic Social Network Datasets
for Testing of Analysis and Simulation Tools
Maksim Tsvetovat, Kathleen M. Carley
September 2005
Testing large-scale dynamic network simulation packages such as
NetWatch requires a large quantity of test data to be available
for each of the experiments. The test data includes initial topologies
of agents' social networks and specification of knowledge networks
for each of the agents to fit an empirically derived distribution
of knowledge.
Testing the software on machine-generated data, as opposed to empirical data only, allows the user to conduct repeatable tests that stress certain aspects of the software and help in debugging and optimization of software performance.
27 pages
Return to:
SCS Technical Report Collection This page maintained by reports@cs.cmu.edu
School of Computer Science homepage