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KDD
2009
ACM
150views Data Mining» more  KDD 2009»
16 years 7 months ago
Large human communication networks: patterns and a utility-driven generator
Given a real, and weighted person-to-person network which changes over time, what can we say about the cliques that it contains? Do the incidents of communication, or weights on t...
Nan Du, Christos Faloutsos, Bai Wang, Leman Akoglu
WSDM
2010
ACM
172views Data Mining» more  WSDM 2010»
16 years 4 months ago
Early Online Identification of Attention Gathering Items In Social Media
Activity in social media such as blogs, micro-blogs, social networks, etc is manifested via interaction that involves text, images, links and other information items. Naturally, s...
Michael Mathioudakis, Nick Koudas, Peter Marbach
ACMICEC
2007
ACM
303views ECommerce» more  ACMICEC 2007»
15 years 10 months ago
Impact of social influence in e-commerce decision making
Purchasing decisions are often strongly influenced by people who the consumer knows and trusts. Moreover, many online shoppers tend to wait for the opinions of early adopters befo...
Young Ae Kim, Jaideep Srivastava
DATESO
2006
113views Database» more  DATESO 2006»
15 years 8 months ago
Viewing FOAF - Development of a Metadata Explorer
Social networks are widely accepted application of Semantic Web technologies and are also interesting for general public. Nowadays there is a lack of quality user-friendly browser ...
Josef Petrak
SIGCOMM
2010
ACM
15 years 6 months ago
The case for crowd computing
We introduce and motivate crowd computing, which combines mobile devices and social interactions to achieve large-scale distributed computation. An opportunistic network of mobile...
Derek Gordon Murray, Eiko Yoneki, Jon Crowcroft, S...