A Workflow-based Social Network Intelligence Discovery Algorithm

Kwanghoon Pio Kim
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引用次数: 4

Abstract

This paper theoretically derives an algorithm to discover a new type of social networks from workflow models, which is termed workflow-based social network intelligence. In general, workflow intelligence (or business process intelligence) technology consists of four types of techniques that discover, analyze, monitor and control, and predict from workflow models and their execution histories. So, this paper proposes an algorithm, which is termed ICN-based workflow-based social network intelligence discovery algorithm, to be classified into the type of discovery techniques, which are able to discover workflow-based social network intelligence that are formed among workflow performers through a series of workflow models and their executions, In order particularly to prove the correctness and feasibility of the proposed algorithm, this paper tries to apply the algorithm to a specific workflow model and to show that it is able to generate its corresponding workflow-based social network intelligence.
基于工作流的社交网络智能发现算法
本文从理论上推导出一种从工作流模型中发现新型社交网络的算法,称为基于工作流的社交网络智能。一般来说,工作流智能(或业务流程智能)技术由四种类型的技术组成,它们从工作流模型及其执行历史中发现、分析、监视和控制以及预测。因此,本文提出了一种算法,称为基于icn的基于工作流的社交网络智能发现算法,将其归为发现技术的一类,它能够通过一系列工作流模型及其执行,发现工作流执行者之间形成的基于工作流的社交网络智能,特别为了证明所提出算法的正确性和可行性。本文试图将该算法应用于具体的工作流模型,并证明该算法能够生成相应的基于工作流的社交网络智能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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