Titlebook: Advances in Social Computing; Third International Sun-Ki Chai,John J. Salerno,Patricia L. Mabry Conference proceedings 2010 Springer-Verla

Venules

思鄉(xiāng)病

吸引人的花招

Tsai-Chieh Lai,Hung-Ming Chi,Tzu-Chien Hsiaothe use of social network analysis measures to improve the performance of a content filtering model. By measuring the degree centrality of message transfer agents, we observed performance improvements for spam detection in repeated experiments; e.g. a 70% increase in the proportion of spam detected

hurricane

Aspirin

遵循的規(guī)范

極少

Ernst P. Stephan,Thanh Tran,Adrian Costea cultural knowledge. This paper develops a CCT model for items requiring bounded numerical responses, e.g. probability estimates, confidence judgments, or similarity judgments. The model assumes that each item generates a latent random representation in each informant, with mean equal to the consens

Fresco

Ernst P. Stephan,Thanh Tran,Adrian Costea. One of the fundamental algorithmic problems related to viral marketing is the Influence Maximization (IM) problem: given an social network, which set of nodes should be considered by the viral marketer as the initial targets, in order to maximize the influence of the advertising message. In this w

cringe

J. P. Little,R. D. Labrom,G. N. Askine tool, it must be replicable in other computing settings. This assumption has recently gained attention in the community of artificial society and simulation due to the challenges of model verification and validation. Illustrating the replication of an ABM representing fraudulent behavior in a publ

remission