On power-law relationships of the Internet topology
Proceedings of the conference on Applications, technologies, architectures, and protocols for computer communication
Linked: How Everything Is Connected to Everything Else and What It Means
Linked: How Everything Is Connected to Everything Else and What It Means
Change point analysis for intelligent agents in city traffic
ADMI'11 Proceedings of the 7th international conference on Agents and Data Mining Interaction
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A new model for a random graph is proposed that can be constructed from empirical data and has some desirable properties compared to scale-free graphs [1, 2, 3] for certain applications. The newly proposed random graph maintains the same "small-world" properties [3, 4, 5] of the scale-free graph, while allowing mathematical modeling of the relationships that make up the random graph. E-mail communication data was collected on a group of 24 mid-career Army officers in a one-year graduate program [6] to validate necessary assumptions for this new class of random graphs. Statistical distributions on graph level measures are then approximated using Monte Carlo simulation and used to detect change in a graph over time.