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» Recovering Social Networks From Massive Track Datasets
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WACV
2008
IEEE
13 years 11 months ago
Recovering Social Networks From Massive Track Datasets
Christopher I. Connolly, J. Brian Burns, Hung Hai ...
CSE
2009
IEEE
13 years 11 months ago
Inferring the Maximum Likelihood Hierarchy in Social Networks
—Individuals in social networks are often organized under some hierarchy such as a command structure. In many cases, when this structure is unknown, there is a need to discover h...
Arun S. Maiya, Tanya Y. Berger-Wolf
ASUNAM
2009
IEEE
13 years 2 months ago
Automatically Detecting Points of Interest and Social Networks from Tracking Positions of Avatars in a Virtual World
With hundreds of millions of users already today, virtual worlds will become an important factor in tomorrow's media landscape. In a virtual world, users are represented by s...
Frank Kappe, Bilal Zaka, Michael Steurer
WWW
2011
ACM
12 years 11 months ago
Track globally, deliver locally: improving content delivery networks by tracking geographic social cascades
Providers such as YouTube offer easy access to multimedia content to millions, generating high bandwidth and storage demand on the Content Delivery Networks they rely upon. More ...
Salvatore Scellato, Cecilia Mascolo, Mirco Musoles...
CIKM
2009
Springer
13 years 11 months ago
Group CRM: a new telecom CRM framework from social network perspective
The structure of customer communication network provides us a natural way to understand customers’ relationships. Traditional customer relationship management (CRM) methods focu...
Bin Wu, Qi Ye, Shengqi Yang, Bai Wang