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SACMAT
2011
ACM
14 years 9 months ago
Modeling data flow in socio-information networks: a risk estimation approach
Information leakage via the networks formed by subjects (e.g., Facebook, Twitter) and objects (e.g., blogosphere) − some of whom may be controlled by malicious insiders − ofte...
Ting Wang, Mudhakar Srivatsa, Dakshi Agrawal, Ling...
CMOT
2004
83views more  CMOT 2004»
15 years 6 months ago
Networks, Fields and Organizations: Micro-Dynamics, Scale and Cohesive Embeddings
Social action is situated in fields that are simultaneously composed of interpersonal ties and relations among organizations, which are both usefully characterized as social netwo...
Douglas R. White, Jason Owen-Smith, James Moody, W...
WWW
2011
ACM
15 years 1 months ago
Finding the bias and prestige of nodes in networks based on trust scores
Many real-life graphs such as social networks and peer-topeer networks capture the relationships among the nodes by using trust scores to label the edges. Important usage of such ...
Abhinav Mishra, Arnab Bhattacharya
STOC
2012
ACM
256views Algorithms» more  STOC 2012»
13 years 9 months ago
Competitive contagion in networks
We develop a game-theoretic framework for the study of competition between firms who have budgets to “seed” the initial adoption of their products by consumers located in a s...
Sanjeev Goyal, Michael Kearns
KDD
2012
ACM
229views Data Mining» more  KDD 2012»
13 years 9 months ago
Finding trendsetters in information networks
Influential people have an important role in the process of information diffusion. However, there are several ways to be influential, for example, to be the most popular or the...
Diego Sáez-Trumper, Giovanni Comarela, Virg...