I found that the Internet operates as a scale-free network, characterized by a few highly connected hubs and many poorly connected nodes. This topological structure explains why the network is robust against random failures but vulnerable to targeted attacks.
I examine how scale-free networks evolve naturally to include central hubs, providing robustness against random failures but creating targeted vulnerabilities. These articles from the Santa Fe Institute detail how evolution differs from intentional design.
Use network-tools.com to trace data paths, identify computer locations, and look up WHOIS registration details. The site provides web-based utilities for traceroute, DNS lookups, and network diagnostics to see exactly how information travels across the internet.
I highlight an excellent introductory guide to social network analysis from Semantic Studios. It explores how mapping relationships between people and organizations reveals hidden structures in information architecture and digital communities.
I explore how social network analysis is applied through an interview with InFlow's creators. For my own SNA projects, I have used a combination of Perl scripts and Excel rather than dedicated software.
I found this resource explaining the technical architecture of the FastTrack network. It details the decentralized peer-to-peer protocol used by Kazaa, specifically the role of supernodes and how the system managed massive file-sharing traffic during the early 2000s.