从过程数据中提取和分析社会网络

Martin Kopka, M. Kudelka, Jakub Stolfa, Ondrej Kobersky, V. Snás̃el
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引用次数: 2

摘要

信息系统支持并确保大多数关键业务流程的实际运行。在信息系统中存在或可以重构运行过程的记录(日志),其中包含有关大多数过程的参与者和被处理对象的信息。本研究是在企业信息系统SAP环境中实现的,业务流程的参与者处于不同的关系中。我们感兴趣的是那些没有从过程日志中明确看到,但可以通过社交网络和社交网络中的社区的研究方法检测到的关系。我们的工作是从给定上下文中的流程日志构建社会网络,然后在该网络中找到社区。使用业务流程的知识和流程运行的环境对发现的社区进行分析。我们发现,已识别的社区在实际过程中具有合理的代表性,这开辟了一个新的知识维度,可以从过程日志中进行分析。这种方法似乎有希望进行详细的分析。
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Extraction and analysis social networks from process data
Information systems support and ensure the practical running of most critical business processes. There exists or can be reconstructed a record (log) of the process running in the information system with information about the participants and the processed objects for most of the processes. This research was realized in the environment of the enterprise information system SAP. Participants of business processes stand in different relationships. We are interested in the relationships that are not explicitly seen from the process logs, but which are detectable by research methods of social networks and communities in social networks. Our work constructs the social network from the process log in the given context and then it finds communities in this network. Found communities were analyzed using knowledge of the business process and the environment in which the process operates. We found that identified communities have reasonable representation in the actual process, and this opened up a new dimension of knowledge that can be analyzed from the process log. This approach seems to be promising for detailed analysis.
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