摘要翻译:
开发高效的业务流程模型并确定其特性是跨学科研究的热点。在这里,我们将业务流程模型视为一个有向图。它的节点对应于建模者识别的单元,链接方向指示单元之间的因果依赖关系。在这样一个有向图上获得平稳流是一个主要的兴趣,它对应于企业在业务过程中的稳定状态。遵循最近为万维网开发的思想,我们为我们的业务流程模型构造了谷歌矩阵,并分析了它的谱特性。节点的重要性分别用页面秩和最近提出的CheiRank和2DRANK来表示。结果表明,这种二维排名给出了关于商业模式单元的影响力和传播属性的显著信息。我们认为,谷歌矩阵方法,在这里描述,提供了一个新的有效的工具,帮助公司作出决定,如何发展,在非常动态的全球市场。
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英文标题:
《Google matrix of business process management》
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作者:
M. Abel and D.L. Shepelyansky
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最新提交年份:
2010
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分类信息:
一级分类:Computer Science 计算机科学
二级分类:Computers and Society 计算机与社会
分类描述:Covers impact of computers on society, computer ethics, information technology and public policy, legal aspects of computing, computers and education. Roughly includes material in ACM Subject Classes K.0, K.2, K.3, K.4, K.5, and K.7.
涵盖计算机对社会的影响、计算机伦理、信息技术和公共政策、计算机的法律方面、计算机和教育。大致包括ACM学科类K.0、K.2、K.3、K.4、K.5和K.7中的材料。
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一级分类:Computer Science 计算机科学
二级分类:Information Retrieval 信息检索
分类描述:Covers indexing, dictionaries, retrieval, content and analysis. Roughly includes material in ACM Subject Classes H.3.0, H.3.1, H.3.2, H.3.3, and H.3.4.
涵盖索引,字典,检索,内容和分析。大致包括ACM主题课程H.3.0、H.3.1、H.3.2、H.3.3和H.3.4中的材料。
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一级分类:Physics 物理学
二级分类:Physics and Society 物理学与社会
分类描述:Structure, dynamics and collective behavior of societies and groups (human or otherwise). Quantitative analysis of social networks and other complex networks. Physics and engineering of infrastructure and systems of broad societal impact (e.g., energy grids, transportation networks).
社会和团体(人类或其他)的结构、动态和集体行为。社会网络和其他复杂网络的定量分析。具有广泛社会影响的基础设施和系统(如能源网、运输网络)的物理和工程。
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一级分类:Quantitative Finance 数量金融学
二级分类:General Finance 一般财务
分类描述:Development of general quantitative methodologies with applications in finance
通用定量方法的发展及其在金融中的应用
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英文摘要:
Development of efficient business process models and determination of their characteristic properties are subject of intense interdisciplinary research. Here, we consider a business process model as a directed graph. Its nodes correspond to the units identified by the modeler and the link direction indicates the causal dependencies between units. It is of primary interest to obtain the stationary flow on such a directed graph, which corresponds to the steady-state of a firm during the business process. Following the ideas developed recently for the World Wide Web, we construct the Google matrix for our business process model and analyze its spectral properties. The importance of nodes is characterized by Page-Rank and recently proposed CheiRank and 2DRank, respectively. The results show that this two-dimensional ranking gives a significant information about the influence and communication properties of business model units. We argue that the Google matrix method, described here, provides a new efficient tool helping companies to make their decisions on how to evolve in the exceedingly dynamic global market.
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PDF链接:
https://arxiv.org/pdf/1009.2631