1,620 research outputs found

    Fundamental principles in drawing inference from sequence analysis

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    Individual life courses are dynamic and can be represented as a sequence of states for some portion of their experiences. More generally, study of such sequences has been made in many fields around social science; for example, sociology, linguistics, psychology, and the conceptualisation of subjects progressing through a sequence of states is common. However, many models and sets of data allow only for the treatment of aggregates or transitions, rather than interpreting whole sequences. The temporal aspect of the analysis is fundamental to any inference about the evolution of the subjects but assumptions about time are not normally made explicit. Moreover, without a clear idea of what sequences look like, it is impossible to determine when something is not seen whether it was not actually there. Some principles are proposed which link the ideas of sequences, hypothesis, analytical framework, categorisation and representation; each one being underpinned by the consideration of time. To make inferences about sequences, one needs to: understand what these sequences represent; the hypothesis and assumptions that can be derived about sequences; identify the categories within the sequences; and data representation at each stage. These ideas are obvious in themselves but they are interlinked, imposing restrictions on each other and on the inferences which can be draw

    Applications of Structural Balance in Signed Social Networks

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    We present measures, models and link prediction algorithms based on the structural balance in signed social networks. Certain social networks contain, in addition to the usual 'friend' links, 'enemy' links. These networks are called signed social networks. A classical and major concept for signed social networks is that of structural balance, i.e., the tendency of triangles to be 'balanced' towards including an even number of negative edges, such as friend-friend-friend and friend-enemy-enemy triangles. In this article, we introduce several new signed network analysis methods that exploit structural balance for measuring partial balance, for finding communities of people based on balance, for drawing signed social networks, and for solving the problem of link prediction. Notably, the introduced methods are based on the signed graph Laplacian and on the concept of signed resistance distances. We evaluate our methods on a collection of four signed social network datasets.Comment: 37 page

    Learning Language from a Large (Unannotated) Corpus

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    A novel approach to the fully automated, unsupervised extraction of dependency grammars and associated syntax-to-semantic-relationship mappings from large text corpora is described. The suggested approach builds on the authors' prior work with the Link Grammar, RelEx and OpenCog systems, as well as on a number of prior papers and approaches from the statistical language learning literature. If successful, this approach would enable the mining of all the information needed to power a natural language comprehension and generation system, directly from a large, unannotated corpus.Comment: 29 pages, 5 figures, research proposa

    Configurations of Control: A Transaction Cost Approach

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    In this paper, I present a theory of management control based on Transaction Cost Economics.This theory seeks to integrate into a single framework a set of insights as to the natureof the organization's activities, the control problems that are inherent in these activities,and the unique problem solving potential of various archetypal control structures. The gistof the argument is that activities predictably differ in the control problems to which theygive rise, whereas control archetypes differ in their problem-solving ability, and thatalignments between the two can be explained by delineating the efficiency properties of thematch. This is a contingent configuration approach. It is a configuration theory in that itoffers a set of ideal types, conceived of as internally consistent and discriminating clustersof attributes from multiple dimensions that have a specific effect on control structureeffectiveness as the variable to be explained. But it is also a contingent approach in that itspecifies the conditions in which each of the archetypes is most effective.transaction cost economics;management control theory;configuration theory
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