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KDD
2008
ACM
164views Data Mining» more  KDD 2008»
16 years 4 months ago
Microscopic evolution of social networks
We present a detailed study of network evolution by analyzing four large online social networks with full temporal information about node and edge arrivals. For the first time at ...
Jure Leskovec, Lars Backstrom, Ravi Kumar, Andrew ...
IPPS
2006
IEEE
15 years 10 months ago
A simulation study of the effects of multi-path approaches in e-commerce applications
Response time is a key factor of any e-Commerce application, and a set of solutions have been proposed to provide low response time despite network congestions or failures. Being ...
Paolo Romano, Francesco Quaglia, Bruno Ciciani
HPDC
2000
IEEE
15 years 8 months ago
Creating Large Scale Database Servers
The BaBar experiment at the Stanford Linear Accelerator Center (SLAC) is designed to perform a high precision investigation of the decays of the B-meson produced from electron-pos...
Jacek Becla, Andrew Hanushevsky
CIKM
2008
Springer
15 years 6 months ago
Modeling hidden topics on document manifold
Topic modeling has been a key problem for document analysis. One of the canonical approaches for topic modeling is Probabilistic Latent Semantic Indexing, which maximizes the join...
Deng Cai, Qiaozhu Mei, Jiawei Han, Chengxiang Zhai
176
Voted
KDD
2012
ACM
200views Data Mining» more  KDD 2012»
13 years 6 months ago
Vertex neighborhoods, low conductance cuts, and good seeds for local community methods
The communities of a social network are sets of vertices with more connections inside the set than outside. We theoretically demonstrate that two commonly observed properties of s...
David F. Gleich, C. Seshadhri
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