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» Community Detection using a Measure of Global Influence
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KDD
2009
ACM
180views Data Mining» more  KDD 2009»
14 years 7 days ago
Parallel community detection on large networks with propinquity dynamics
Graphs or networks can be used to model complex systems. Detecting community structures from large network data is a classic and challenging task. In this paper, we propose a nove...
Yuzhou Zhang, Jianyong Wang, Yi Wang, Lizhu Zhou
ACL
2006
13 years 9 months ago
Novel Association Measures Using Web Search with Double Checking
A web search with double checking model is proposed to explore the web as a live corpus. Five association measures including variants of Dice, Overlap Ratio, Jaccard, and Cosine, ...
Hsin-Hsi Chen, Ming-Shun Lin, Yu-Chuan Wei
WWW
2010
ACM
13 years 7 months ago
How useful are your comments?: analyzing and predicting youtube comments and comment ratings
An analysis of the social video sharing platform YouTube reveals a high amount of community feedback through comments for published videos as well as through meta ratings for thes...
Stefan Siersdorfer, Sergiu Chelaru, Wolfgang Nejdl...
KDD
2007
ACM
220views Data Mining» more  KDD 2007»
14 years 8 months ago
SCAN: a structural clustering algorithm for networks
Network clustering (or graph partitioning) is an important task for the discovery of underlying structures in networks. Many algorithms find clusters by maximizing the number of i...
Xiaowei Xu, Nurcan Yuruk, Zhidan Feng, Thomas A. J...
SBIA
1995
Springer
13 years 11 months ago
Modeling the Influence of Non-Changing Quantities
ion Framework for Compositional Modeling 36 Diane Chi and Yumi Iwasaki Model Decomposition and Simulation 45 Daniel J. Clancy and Benjamin Kuipers A Distance Measure for Attention ...
Bert Bredeweg, Kees de Koning, Cis Schut