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IPPS
2008
IEEE
15 years 4 months ago
SNAP, Small-world Network Analysis and Partitioning: An open-source parallel graph framework for the exploration of large-scale
We present SNAP (Small-world Network Analysis and Partitioning), an open-source graph framework for exploratory study and partitioning of large-scale networks. To illustrate the c...
David A. Bader, Kamesh Madduri
82
Voted
WSC
2001
14 years 11 months ago
Simone: large scale train network simulations
This paper describes the architecture and potentials of Simone. Simone is a simulation environment to generate, simulate and analyze complex and large scale train networks. The pu...
Dick Middelkoop, Michiel Bouwman
PODC
2010
ACM
14 years 11 months ago
Brief announcement: revisiting the power-law degree distribution for social graph analysis
The study of complex networks led to the belief that the connectivity of network nodes generally follows a Power-law distribution. In this work, we show that modeling large-scale ...
Alessandra Sala, Haitao Zheng, Ben Y. Zhao, Sabrin...
83
Voted
WWW
2006
ACM
15 years 10 months ago
Probabilistic models for discovering e-communities
The increasing amount of communication between individuals in e-formats (e.g. email, Instant messaging and the Web) has motivated computational research in social network analysis...
Ding Zhou, Eren Manavoglu, Jia Li, C. Lee Giles, H...
WWW
2010
ACM
15 years 4 months ago
Measurement-calibrated graph models for social network experiments
Access to realistic, complex graph datasets is critical to research on social networking systems and applications. Simulations on graph data provide critical evaluation of new sys...
Alessandra Sala, Lili Cao, Christo Wilson, Robert ...