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DATESO
2010
148views Database» more  DATESO 2010»
15 years 1 months ago
Using Spectral Clustering for Finding Students' Patterns of Behavior in Social Networks
Abstract. The high dimensionality of the data generated by social networks has been a big challenge for researchers. In order to solve the problems associated with this phenomenon,...
Gamila Obadi, Pavla Drázdilová, Jan ...
126
Voted
ICASSP
2011
IEEE
14 years 7 months ago
Time-evolving modeling of social networks
A statistical framework for modeling and prediction of binary matrices is presented. The method is applied to social network analysis, specifically the database of US Supreme Cou...
Eric Wang, Jorge Silva, Rebecca Willett, Lawrence ...
HCI
2007
15 years 5 months ago
Mobile Social Software for the Developing World
This paper discusses how the importance of social networks for performing everyday tasks in the developing world leads to new considerations of the utility of social networking sof...
Beth E. Kolko, Erica J. Johnson, Emma J. Rose
WWW
2010
ACM
15 years 10 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 ...
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 ...