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首页> 外文会议>International Conference on Advanced Computer Science and Information Systems >Social network analysis for people with Systemic Lupus Erythematosus using R4 framework
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Social network analysis for people with Systemic Lupus Erythematosus using R4 framework

机译：使用R4框架对系统性红斑狼疮患者进行社交网络分析

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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%.
机译：选择模糊的用户目标的最佳社交网络组件是一项复杂的工作。系统性红斑狼疮（SLE）患者是这项研究的重点。这项研究旨在分析SLE患者的生活组成部分，为他们建立社交网络提供指导。社交网络分析利用Internet上的大量信息和用户角色的复杂性，使用R4框架开发精益和均值方法详述的社交网络。然后将制定的指南与流行的社交网络Facebook进行比较，以衡量其潜在的实施情况。它总结了以下9种隐私和策略集的潜在风险：78％的百分比，三个唯一用户方面的33％的百分比以及十个具有88个功能的对象的55％的百分比。为了使估计准确，使用Analytic Hierarchy Process按一致性比率9.38％来分析多条件组件对象。它将SLE患者所需的三个最重要的对象按优先级排序，例如，医疗区角为17.8％，空间为15％，病史为13.7％。

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