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CSE
2009
IEEE
14 years 24 days ago
Web Science 2.0: Identifying Trends through Semantic Social Network Analysis
—We introduce a novel set of social network analysis based algorithms for mining the Web, blogs, and online forums to identify trends and find the people launching these new tren...
Peter A. Gloor, Jonas Krauss, Stefan Nann, Kai Fis...
WEBI
2010
Springer
13 years 3 months ago
An Approach to Model and Predict the Popularity of Online Contents with Explanatory Factors
In this paper, we propose a methodology to predict the popularity of online contents. More precisely, rather than trying to infer the popularity of a content itself, we infer the l...
Jong Gun Lee, Sue Moon, Kavé Salamatian
EMNLP
2010
13 years 4 months ago
What's with the Attitude? Identifying Sentences with Attitude in Online Discussions
Mining sentiment from user generated content is a very important task in Natural Language Processing. An example of such content is threaded discussions which act as a very import...
Ahmed Hassan, Vahed Qazvinian, Dragomir R. Radev
CSCW
2012
ACM
12 years 1 months ago
Practices of information and secrecy in a punk rock subculture
By examining the information practices of a punk-rock subculture, we investigate the limits of social media systems, particularly limits exposed by practices of secrecy. Looking a...
Jessica Lingel, Aaron Trammell, Joe Sanchez, Mor N...
WWW
2010
ACM
13 years 6 months ago
A characterization of online browsing behavior
In this paper, we undertake a large-scale study of online user behavior based on search and toolbar logs. We propose a new CCS taxonomy of pageviews consisting of Content (news, p...
Ravi Kumar, Andrew Tomkins