Social Networks

Extending the Naming Game in Social Networks to Multiple Hearers per Speaker
We extend the classic Naming Game to multiple hearers per speaker in each conversation even while allowing simultaneous speaking and hearing. We simulate the impact on the rate of convergence by varying the number of hearers and investigate the impact of different network types on the global convergence. Multiple network types and agent population sizes are used in the simulation experiments.
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Extending the Naming Game in Social Networks to Multiple Hearers per Speaker
Fast GPU-Based Generation of Large Graph Networks From Degree Distributions
A novel algorithm has been designed, developed, and implemented on modern GPU accelerators, and benchmarked on networks with billions of edges, including Facebook and Twitter networks. Rates of generation exceed 50 billion edges per second.
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Fast GPU-Based Generation of Large Graph Networks From Degree Distributions