On the power-law random graph model of massive data networks
Performance Evaluation - Internet performance symposium (IPS 2002)
A first-principles approach to understanding the internet's router-level topology
Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications
Profiling internet backbone traffic: behavior models and applications
Proceedings of the 2005 conference on Applications, technologies, architectures, and protocols for computer communications
BLINC: multilevel traffic classification in the dark
Proceedings of the 2005 conference on Applications, technologies, architectures, and protocols for computer communications
Influences on cooperation in BitTorrent communities
Proceedings of the 2005 ACM SIGCOMM workshop on Economics of peer-to-peer systems
Mining blog stories using community-based and temporal clustering
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Traffic classification through simple statistical fingerprinting
ACM SIGCOMM Computer Communication Review
Revealing skype traffic: when randomness plays with you
Proceedings of the 2007 conference on Applications, technologies, architectures, and protocols for computer communications
ProgME: towards programmable network measurement
Proceedings of the 2007 conference on Applications, technologies, architectures, and protocols for computer communications
Blog search and mining in the business domain
Proceedings of the 2007 international workshop on Domain driven data mining
Annealing and the normalized N-cut
Pattern Recognition
Node roles and community structure in networks
Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis
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The most important challenge faced by current IPv6 networks is to attract more users. Our data analysis of traces from exit points of CERNET2 shows that the traffic in this network has increased a lot during last five months. In this paper, we try to find the incentives of IPv6 users by identifying host communities and studying their properties. We reveal that popular services on CERNET2 are Web, FTP and VOD. FTP and VOD are the killer applications in terms of traffic volume while Web produces the largest number of flows. By analyzing behaviors of end hosts, we discover that hosts form many communities. These communities have different flow-level topologies and various interests in services. Using IPv6 prefixes assignment data, we perform demographic study of IPv6 usage. By presenting CERNET2 usage from various perspectives, we believe this study provides insight into further deployment of IPv6.