Statistical modeling for the reliability of social networks

• Grant number: 12/04444-8
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: September 01, 2012
• End date: May 31, 2013
• Field of knowledge: Engineering - Production Engineering - Operational Research
• Principal Investigator: Sandra Cristina de Oliveira
• Grantee: Jéssica Katty Uehara
• Host Institution: Universidade Estadual Paulista (UNESP). Campus de Tupã. Tupã , SP, Brazil

Abstract

There is a virtual agreement that the world has become more complex and it is very difficult to construct knowledge individually. The stimulus to the formation of research groups - by universities and funding agencies - attests to this reality. Therefore, highly reliable research groups, i.e., a structure with strong collaboration of researchers, can contribute widely and intensively in the development and/or implementation of ideas, since they are responsible for most of the current investigations and also for the formation of numerous researchers. A research group can be considered a social network, which can be modeled by a graph. In literature, there are some ways to calculate the reliability of a system modeled by a graph G composed by n vertices and k edges. The aim of this work is to obtain the reliability of systems considering the vertices (researchers who make up a research group) unreliable or prone to failure and only the edges (connections between these agents) perfectly reliable, and to present a statistical analysis based on classical inference to calculate the reliability of systems, and in this context, to present some measures of centrality of vertices that will assist in identifying situations where the insertion of one or more edges can increase the reliability of systems. The methodology is illustrated by a fictitious system and two special cases of social network of researchers, i.e., UNESP research groups registered in the CNPq.