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» Summarization of large scale social network activity
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ICDM
2007
IEEE
153views Data Mining» more  ICDM 2007»
13 years 10 months ago
HSN-PAM: Finding Hierarchical Probabilistic Groups from Large-Scale Networks
Real-world social networks are often hierarchical, reflecting the fact that some communities are composed of a few smaller, sub-communities. This paper describes a hierarchical B...
Haizheng Zhang, Wei Li, Xuerui Wang, C. Lee Giles,...
DEBU
2006
163views more  DEBU 2006»
13 years 4 months ago
Towards Activity Databases: Using Sensors and Statistical Models to Summarize People's Lives
Automated reasoning about human behavior is a central goal of artificial intelligence. In order to engage and intervene in a meaningful way, an intelligent system must be able to ...
Tanzeem Choudhury, Matthai Philipose, Danny Wyatt,...
FAW
2008
Springer
104views Algorithms» more  FAW 2008»
13 years 6 months ago
Ranking of Closeness Centrality for Large-Scale Social Networks
Abstract. Closeness centrality is an important concept in social network analysis. In a graph representing a social network, closeness centrality measures how close a vertex is to ...
Kazuya Okamoto, Wei Chen, Xiang-Yang Li
AMI
2010
Springer
13 years 1 months ago
Geo-Social Interaction: Context-Aware Help in Large Scale Public Spaces
We present an approach to exploit social and spatio-temporal context in order to improve information dissemination in dynamic largescale public spaces. We illustrate it by applying...
Nasim Mahmud, Petr Aksenov, Ansar-Ul-Haque Yasar, ...