An increasing area of study for economists and sociologists is the varying organizational structures between business networks. The use network science makes it possible to identify determinants performance these In this work we look inter-firm performance. On one hand, a new method supervised clustering with attributed networks proposed, SUWAN, aim at obtaining class-uniform clusters turnover,...

Clustering is the process which is used to assign a set of n objects into clusters(groups). Dimensionality reduction techniques help in increasing the accuracy of clustering results by removing redundant and irrelevant dimensions. But, in most of the situations, objects can be related in different ways in different subsets of the dimensions. Dimensionality reduction tends to get rid of such rel...

Abstract In this paper, we propose a semi-supervised method to cluster unstructured textual data called sentiment clustering on natural language texts. The aim is identify clusters homogeneous with respect the overall of texts analyzed. combines different techniques and methodologies: Sentiment Analysis, Threshold-based Naïve Bayes classifier, Network-based Semi-supervised Clustering. It involv...