On power-law relationships of the Internet topology
Proceedings of the conference on Applications, technologies, architectures, and protocols for computer communication
On inferring autonomous system relationships in the internet
IEEE/ACM Transactions on Networking (TON)
Heuristically Optimized Trade-Offs: A New Paradigm for Power Laws in the Internet
ICALP '02 Proceedings of the 29th International Colloquium on Automata, Languages and Programming
Internet connectivity at the AS-level: an optimization-driven modeling approach
MoMeTools '03 Proceedings of the ACM SIGCOMM workshop on Models, methods and tools for reproducible network research
Measuring ISP topologies with rocketfuel
IEEE/ACM Transactions on Networking (TON)
Evolution and Structure of the Internet: A Statistical Physics Approach
Evolution and Structure of the Internet: A Statistical Physics Approach
A geographic directed preferential internet topology model
Computer Networks: The International Journal of Computer and Telecommunications Networking
An agent-based model for the evolution of the internet ecosystem
COMSNETS'09 Proceedings of the First international conference on COMmunication Systems And NETworks
Measuring the likelihood of models for network evolution
INFOCOM'09 Proceedings of the 28th IEEE international conference on Computer Communications Workshops
A Survey of Statistical Network Models
Foundations and Trends® in Machine Learning
A network formation model for internet transit relations
Proceedings of the 2010 Workshop on Economics of Networks, Systems, and Computation
Bottleneck attack strategies on complex communication networks
ICIC'10 Proceedings of the Advanced intelligent computing theories and applications, and 6th international conference on Intelligent computing
The Internet is flat: modeling the transition from a transit hierarchy to a peering mesh
Proceedings of the 6th International COnference
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Modeling Internet growth is important both for understanding the current network and to predict and improve its future. To date, Internet models have typically attempted to explain a subset of the following characteristics: network structure, traffic flow, geography, and economy. In this paper we present a discrete, agent-based model, that integrates all of them. We show that the model generates networks with topologies, dynamics, and more speculatively spatial distributions that are similar to the Internet.