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» Knowledge and Structure in Social Algorithms
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SDM
2009
SIAM
167views Data Mining» more  SDM 2009»
14 years 6 months ago
Detecting Communities in Social Networks Using Max-Min Modularity.
Many datasets can be described in the form of graphs or networks where nodes in the graph represent entities and edges represent relationships between pairs of entities. A common ...
Jiyang Chen, Osmar R. Zaïane, Randy Goebel
ATAL
2007
Springer
14 years 2 months ago
Distributed task allocation in social networks
This paper proposes a new variant of the task allocation problem, where the agents are connected in a social network and tasks arrive at the agents distributed over the network. W...
Mathijs de Weerdt, Yingqian Zhang, Tomas Klos
ICML
2003
IEEE
14 years 9 months ago
Learning To Cooperate in a Social Dilemma: A Satisficing Approach to Bargaining
Learning in many multi-agent settings is inherently repeated play. This calls into question the naive application of single play Nash equilibria in multi-agent learning and sugges...
Jeff L. Stimpson, Michael A. Goodrich
KDD
2010
ACM
244views Data Mining» more  KDD 2010»
13 years 7 months ago
Finding effectors in social networks
Assume a network (V, E) where a subset of the nodes in V are active. We consider the problem of selecting a set of k active nodes that best explain the observed activation state, ...
Theodoros Lappas, Evimaria Terzi, Dimitrios Gunopu...
SOCIALCOM
2010
13 years 6 months ago
Finding Overlapping Communities in Social Networks
Increasingly, methods to identify community structure in networks have been proposed which allow groups to overlap. These methods have taken a variety of forms, resulting in a lack...
Mark K. Goldberg, Stephen Kelley, Malik Magdon-Ism...