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ACSAC
2010
IEEE
13 years 8 months ago
Detecting spammers on social networks
Social networking has become a popular way for users to meet and interact online. Users spend a significant amount of time on popular social network platforms (such as Facebook, M...
Gianluca Stringhini, Christopher Kruegel, Giovanni...
KDD
2008
ACM
164views Data Mining» more  KDD 2008»
14 years 11 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 ...
ICWSM
2008
14 years 2 days ago
StoryUpgrade: Finding Stories in Internet Weblogs
The phenomenal rise of Internet weblogging has created new opportunities for people to tell personal stories of their life experience, and the potential to share these stories wit...
Andrew S. Gordon, Reid Swanson
ICWSM
2009
13 years 8 months ago
Event Detection and Tracking in Social Streams
Events and stories can be characterized by a set of descriptive, collocated keywords. Intuitively, documents describing the same event will contain similar sets of keywords, and t...
Hassan Sayyadi, Matthew Hurst, Alexey Maykov
WWW
2009
ACM
14 years 11 months ago
A measurement-driven analysis of information propagation in the flickr social network
Online social networking sites like MySpace, Facebook, and Flickr have become a popular way to share and disseminate content. Their massive popularity has led to viral marketing t...
Meeyoung Cha, Alan Mislove, P. Krishna Gummadi