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» Data and Structural k-Anonymity in Social Networks
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IEEEARES
2013
IEEE
4 years 6 months ago
Sensor Data Meets Social Networks Reflecting on Benefits in the Case of a Patient Room
The poster illustrates the idea of integrating digital social media with sensor networks (SoSeMe). In order to achieve tangible, specific results, we concentrate on the scenario o...
Fabienne Kuhn, Andreas Spichiger, Reinhard Riedl
CORR
2016
Springer
97views Education» more  CORR 2016»
3 years 8 months ago
Social Networks Under Stress
Social network research has begun to take advantage of ļ¬negrained communications regarding coordination, decisionmaking, and knowledge sharing. These studies, however, have not ...
Daniel M. Romero, Brian Uzzi, Jon M. Kleinberg
ISI
2008
Springer
9 years 1 days ago
Data mining for social network analysis
A social network is defined as a social structure of individuals, who are related (directly or indirectly to each other) based on a common relation of interest, e.g. friendship, t...
J. Srivastava
CSE
2009
IEEE
9 years 3 months ago
Analyzing Enterprise Social Media Networks
Broadening adoption of social media applications within the enterprise offers a new and valuable data source for insight into the social structure of organizations. Social media ap...
Marc A. Smith, Derek L. Hansen, Eric Gleave
WWW
2007
ACM
10 years 22 days ago
Wherefore art thou r3579x?: anonymized social networks, hidden patterns, and structural steganography
In a social network, nodes correspond to people or other social entities, and edges correspond to social links between them. In an effort to preserve privacy, the practice of anon...
Lars Backstrom, Cynthia Dwork, Jon M. Kleinberg
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