SNA

This article presents an innovative One-Class Support Vector Machines (OC-SVM) algorithm for social network monitoring.

Developing Exponentially Random Graph Models for Social Network Analysis. Exponential Random Graph Models (ERGM) serve as a powerful tool for Social Network Analysis (SNA). These models are employed to understand and interpret the complex patterns of relationships within social networks. ERGMs go beyond simple descriptive statistics, allowing researchers to statistically model the likelihood of observed network structures.

This study presents a fuzzy multi-objective model for supplier selection in a complex supply chain, incorporating coverage, supplier weights, and handling uncertainty with triangular fuzzy numbers.