Social Network Analysis
Social network analysis is used widely in the social and behavioral sciences, as well as in economics, marketing, and industrial engineering. The social network perspective focu...
Explore 3,170 academic publications
Social network analysis is used widely in the social and behavioral sciences, as well as in economics, marketing, and industrial engineering. The social network perspective focu...
Self-reports figure prominently in organizational and management research, but there are several problems associated with their use. This article identifies six categories of se...
A system of cluster analysis for genome-wide expression data from DNA microarray hybridization is described that uses standard statistical algorithms to arrange genes according ...
Abstract We present here a new version of the Arlequin program available under three different forms: a Windows graphical version (W inarl35 ), a console version of Arlequin ( a...
Abstract Summary: RAxML-VI-HPC (randomized axelerated maximum likelihood for high performance computing) is a sequential and parallel program for inference of large phylogenies ...
Training Deep Neural Networks is complicated by the fact that the distribution of each layer's inputs changes during training, as the parameters of the previous layers change. T...
Journal Article GENEPOP (Version 1.2): Population Genetics Software for Exact Tests and Ecumenicism Get access M. Raymond, M. Raymond Institut des Sciences de l'Evolution, URA C...
Abstract Motivation: Chimeric DNA sequences often form during polymerase chain reaction amplification, especially when sequencing single regions (e.g. 16S rRNA or fungal Interna...
This article addresses the centrality of the self-efficacy mechanism in human agency. Self-per- cepts of efficacy influence thought patterns, actions, and emotional arousal. In ...
Journal Article Framing: Toward Clarification of a Fractured Paradigm Get access Robert M. Entman Robert M. Entman 1Robert M. Entman is an associate professor of communication s...
Neural machine translation is a recently proposed approach to machine translation. Unlike the traditional statistical machine translation, the neural machine translation aims at...