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» On the approximability of influence in social networks
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KDD
2006
ACM
157views Data Mining» more  KDD 2006»
14 years 9 months ago
Using structure indices for efficient approximation of network properties
Statistics on networks have become vital to the study of relational data drawn from areas such as bibliometrics, fraud detection, bioinformatics, and the Internet. Calculating man...
Matthew J. Rattigan, Marc Maier, David Jensen
ATAL
2009
Springer
14 years 3 months ago
Effects of resource and remembering on social networks
To better represent human interactions in social networks, the authors take a network-oriented simulation approach to analyze the evolution of acquaintance networks based on local...
Chung-Yuan Huang, Yu-Shiuan Tsai, Chuen-Tsai Sun
SIGIR
2006
ACM
14 years 2 months ago
Personalized recommendation driven by information flow
We propose that the information access behavior of a group of people can be modeled as an information flow issue, in which people intentionally or unintentionally influence and in...
Xiaodan Song, Belle L. Tseng, Ching-Yung Lin, Ming...
ICMI
2010
Springer
172views Biometrics» more  ICMI 2010»
13 years 6 months ago
Modelling and analyzing multimodal dyadic interactions using social networks
Social network analysis became a common technique used to model and quantify the properties of social interactions. In this paper, we propose an integrated framework to explore th...
Sergio Escalera, Petia Radeva, Jordi Vitrià...
KDD
2006
ACM
179views Data Mining» more  KDD 2006»
14 years 9 months ago
Group formation in large social networks: membership, growth, and evolution
The processes by which communities come together, attract new members, and develop over time is a central research issue in the social sciences -- political movements, professiona...
Lars Backstrom, Daniel P. Huttenlocher, Jon M. Kle...