Non-Gaussian multivariate probability distributions, derived from climate and geofluid statistics, allow for nonlinear correlations between linearly uncorrelated components, due to joint Shannon negentropies. Triadic statistical dependence under pair-wise (total or partial) independence is thus possible. Synergy or interaction information among triads is estimated. We formulate an optimization ...

This paper develops a triadic design for conducting trust and reciprocity experiments. A large literature on single-game trust and reciprocity experiments is based on the assumption that subjects’ utility payoffs are the same as their own monetary payoffs in the experiments. Such designs test compound hypotheses that include the hypothesis that other-regarding preferences do not affect behavior...

Partial triadic analysis is a multiway analysis method that is a well suited statistical tool to get a clear representation of a chronological series of matrices, one for each sample date. It allows the simultaneous principal component analyses of several matrices and permits one to find a spatial structure common to every matrix and to study its temporal stability. Partial triadic analysis beg...

The Heider balance addresses three-body interactions with the assumption that triads are equally important in dynamics of network. In many networks, relations do not have same strength, so differently weighted. Now, question is how social networks evolve to reduce number unbalanced triangles when they weighted? Are results foreseeable based on what we already learned from unweighted balance? To...

The contribution of this work relates to the field of Arabic text-based document analysis for the detection of plagiarism. This analysis will be carried out according to the triadic computation model of document similarity. The authors propose a hybrid segmentation prototype for Arabic text-based documents that links different processing steps in order to generate the similarity rate between th...