Department of Electronic Engineering,

Title: Department of Electronic Engineering,

Research Question: How can we accurately model the topology of the Internet at the Autonomous Systems (AS) level using a phenomenological model?

Methodology: The researchers used a combination of data collection and analysis techniques to develop their Positive-Feedback Preference (PFP) model. They first gathered data on the Internet's topology at the AS level using traceroute-derived AS graphs. They then analyzed this data to identify key characteristics and properties of the network. Based on these findings, they developed the PFP model, which is a phenomenological model that accurately reproduces many topological properties of the AS-level Internet.

Results: The PFP model successfully reproduced various topological properties of the AS-level Internet, including degree distribution, rich-club connectivity, maximum degree, shortest path length, short cycles, disassortative mixing, and betweenness centrality.

Implications: The PFP model provides a novel insight into the evolutionary dynamics of complex networks and offers a more accurate model for understanding the topology of the Internet at the AS level. This could have significant implications for network design, management, and security.

Conclusion: In conclusion, the researchers developed a Positive-Feedback Preference (PFP) model that accurately models the topology of the Internet at the Autonomous Systems (AS) level. This model provides a more accurate representation of the network's properties and could have important implications for network design, management, and security.

Link to Article: https://arxiv.org/abs/0402011v4 Authors: arXiv ID: 0402011v4