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CIKM
2009
Springer
14 years 2 months ago
Scalable learning of collective behavior based on sparse social dimensions
The study of collective behavior is to understand how individuals behave in a social network environment. Oceans of data generated by social media like Facebook, Twitter, Flickr a...
Lei Tang, Huan Liu
JCDL
2009
ACM
134views Education» more  JCDL 2009»
14 years 2 months ago
What happens when facebook is gone?
Web users are spending more of their time and creative energies within online social networking systems. While many of these networks allow users to export their personal data or ...
Frank McCown, Michael L. Nelson
HYPERTEXT
2009
ACM
14 years 4 months ago
A scalable, collaborative similarity measure for social annotation systems
Collaborative annotation tools are in widespread use. The metadata from these systems can be mined to induce semantic relationships among Web objects (sites, pages, tags, concepts...
Benjamin Markines, Filippo Menczer
ATAL
2007
Springer
14 years 1 months ago
Socially embedded multi agent based simulation of financial market
This paper proposed a new approach that integrated an artificial market simulation and text-mining with real information. In this approach, economic trends were extracted from te...
Kiyoshi Izumi, Hiroki Matsui, Yutaka Matsuo
WWW
2011
ACM
13 years 2 months ago
Learning facial attributes by crowdsourcing in social media
Facial attributes such as gender, race, age, hair style, etc., carry rich information for locating designated persons and profiling the communities from image/video collections (...
Yan-Ying Chen, Winston H. Hsu, Hong-Yuan Mark Liao