WEB-based Dynamic Social Networks (WDSN) Framework for Measurement-informed Decisionmaking under Uncertainty

基于 WEB 的动态社交网络 (WDSN) 框架，用于不确定性下的测量知情决策

• 批准号: 250401-2012
• 负责人: Ormandjieva, Olga
• 金额: $ 1.02万
• 依托单位: Concordia University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2014
• 资助国家: 加拿大
• 起止时间: 2014-01-01 至 2015-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=547623
• 关键词: WEB; based; Dynamic; Social; Networks

My research proposal brings together web-based dynamic social networks (WDSN) analysis and representational theory of measurement within category theory and Markov decision processes. WDSN differ from traditional social networks in that they are cellular, distributed, web-based thus larger, dynamic, and may contain varying levels of uncertainty. The long term goals of my research deal with the following issues: (1) how to best model WEB-based dynamic social network so that its essential properties, such as evolution laws, time progress, response strategies and self-healing are precisely captured in the model? (2) what are the measurement goals that need to be achieved throughout WDSN evolution? A set of candidate metrics for describing the WDSN goals have to be defined. Two kinds of uncertainties - measurement errors and goals' fuzziness, can be differentiated in the measurement data. How to assess their combined effect on the measurement process and to assess the plausible effects on subsequent decision-making rules? (3) what are the rules for measurement-based decision-making under risk of uncertainty due to assumptions (that is, lack of information)? (4) what are the appropriate method and tools for an integrated validation of WDSN evolution, measurement-based decision making and self-healing?

我的研究建议汇集了基于Web的动态社交网络（WDSN）分析和分类理论和马尔可夫决策过程中测量的代表性理论。 WDSN与传统的社交网络不同，因为它们是细胞，分布式，基于网络的基于网络的，因此更大，动态性，并且可能包含不同级别的不确定性。我的研究的长期目标涉及以下问题：（1）如何最好地模拟基于Web的动态社交网络，以便在模型中精确地捕获了其基本属性，例如进化法律，时间进步，响应策略和自我修复？ （2）在WDSN演变中需要实现什么测量目标？必须定义一组描述WDSN目标的候选指标。在测量数据中可以区分两种不确定性 - 测量错误和目标的模糊性。如何评估其对测量过程的综合影响并评估对后续决策规则的合理影响？ （3）由于假设的不确定性风险（即缺乏信息），基于测量的决策规则是什么？ （4）用于综合验证WDSN进化，基于测量的决策和自我修复的合适方法和工具是什么？