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» Influence and correlation in social networks
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SIGIR
2010
ACM
13 years 11 months ago
Uncovering social spammers: social honeypots + machine learning
Web-based social systems enable new community-based opportunities for participants to engage, share, and interact. This community value and related services like search and advert...
Kyumin Lee, James Caverlee, Steve Webb
ASUNAM
2010
IEEE
13 years 9 months ago
Leveraging Contextual Information to Explore Posting and Linking Behaviors of Bloggers
The last decade has seen an explosion in blogging and the blogosphere is continuing to grow, having a large global reach and many vibrant communities. Researchers have been pouring...
Sofus A. Macskassy
WSDM
2012
ACM
325views Data Mining» more  WSDM 2012»
12 years 3 months ago
Correlating financial time series with micro-blogging activity
We study the problem of correlating micro-blogging activity with stock-market events, defined as changes in the price and traded volume of stocks. Specifically, we collect messa...
Eduardo J. Ruiz, Vagelis Hristidis, Carlos Castill...
SOUPS
2010
ACM
13 years 11 months ago
Feasibility of structural network clustering for group-based privacy control in social networks
Users of social networking sites often want to manage the sharing of information and content with different groups of people based on their differing relationships. However, group...
Simon Jones, Eamonn O'Neill
SIGSOFT
2008
ACM
14 years 8 months ago
Predicting failures with developer networks and social network analysis
Software fails and fixing it is expensive. Research in failure prediction has been highly successful at modeling software failures. Few models, however, consider the key cause of ...
Andrew Meneely, Laurie Williams, Will Snipes, Jaso...