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GIS
2009
ACM
13 years 12 months ago
Dynamic network data exploration through semi-supervised functional embedding
The paper presents a framework for semi-supervised nonlinear embedding methods useful for exploratory analysis and visualization of spatio-temporal network data. The method provid...
Alexei Pozdnoukhov
KDD
2010
ACM
265views Data Mining» more  KDD 2010»
13 years 10 months ago
Scalable influence maximization for prevalent viral marketing in large-scale social networks
Influence maximization, defined by Kempe, Kleinberg, and Tardos (2003), is the problem of finding a small set of seed nodes in a social network that maximizes the spread of influe...
Wei Chen, Chi Wang, Yajun Wang
SCIENTOMETRICS
2010
158views more  SCIENTOMETRICS 2010»
13 years 6 months ago
Rete-netzwerk-red: analyzing and visualizing scholarly networks using the Network Workbench Tool
The enormous increase in digital scholarly data and computing power combined with recent advances in text mining, linguistics, network science, and scientometrics make it possible...
Katy Börner, Weixia Huang, Micah Linnemeier, ...
SDM
2009
SIAM
125views Data Mining» more  SDM 2009»
14 years 5 months ago
Identifying Unsafe Routes for Network-Based Trajectory Privacy.
In this paper, we propose a privacy model that offers trajectory privacy to the requesters of Location-Based Services (LBSs), by utilizing an underlying network of user movement. ...
Aris Gkoulalas-Divanis, Mohamed F. Mokbel, Vassili...
ICASSP
2009
IEEE
13 years 11 months ago
Summarization of large scale social network activity
This paper presents a novel social media summarization framework. Summarizing media created and shared in large scale online social networks unfolds challenging research problems....
Yu-Ru Lin, Hari Sundaram, Aisling Kelliher