Social network analysis for people with Systemic Lupus Erythematosus using R4 framework

Abstract

Choosing the best social network component of a vague aim of user is a complex undertaking. People with Systemic Lupus Erythematosus (SLE) are this research focused on. The study aims to analyze life components from people with SLE to create a guideline for developing a social network for them. With hoards of information along the Internet and user character complexity, the social network analysis uses R4 framework for developing social web detailed by Lean and Mean methodology. The guideline which has been made then compared to a popular social network, Facebook, to measure its potential implementation. It summarizes the potention with percentage of 78% for nine privacy and policy set, 33% for three unique user aspects, and 55% for ten objects with its 88 features. To accurate the estimations, the multi-criteria component object are analyzed using the Analytic Hierarchy Process by 9.38% of consistency ratio. It prioritizes the three most important objects needed by people with SLE such as medicine corner by 17.8%, spaces 15%, and medical history 13.7%.