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CSCW
2010
ACM
15 years 6 months ago
Same places, same things, same people?: mining user similarity on social media
In this work we examine nine different sources for user similarity as reflected by activity in social media applications. We suggest a classification of these sources into three c...
Ido Guy, Michal Jacovi, Adam Perer, Inbal Ronen, E...
71
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WWW
2011
ACM
14 years 4 months ago
Citizen sensor data mining, social media analytics and development centric web applications
With the rapid rise in the popularity of social media (500M+ Facebook users, 100M+ twitter users), and near ubiquitous mobile access (4.1 billion actively-used mobile phones), the...
Meenakshi Nagarajan, Amit P. Sheth, Selvam Velmuru...
BIOCOMP
2009
14 years 10 months ago
Monitoring Influenza Trends through Mining Social Media
Analysis of Google Influenza-like-illness (ILI) search queries has shown a strongly correlated pattern with Center for Disease Control and Prevention seasonal ILI reporting data. W...
Courtney Corley, Armin R. Mikler, Karan P. Singh, ...
KDD
2012
ACM
187views Data Mining» more  KDD 2012»
13 years 20 hour ago
Unsupervised feature selection for linked social media data
The prevalent use of social media produces mountains of unlabeled, high-dimensional data. Feature selection has been shown effective in dealing with high-dimensional data for eļ¬...
Jiliang Tang, Huan Liu
PAMI
2012
13 years 22 hour ago
Exploring Context and Content Links in Social Media: A Latent Space Method
—Social media networks contain both content and context-specific information. Most existing methods work with either of the two for the purpose of multimedia mining and retrieva...
Guo-Jun Qi, Charu C. Aggarwal, Qi Tian, Heng Ji, T...