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A Conceptual Approach to Characterize Dynamic Communities in Social Networks: Application to Business Process Management

机译:表征社交网络中动态社区的概念方法:在业务流程管理中的应用

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In the enterprise decision making process, specifically product design and CRM, the analysis of all the available and relevant customer information is a major task. In this paper we propose measures based on Formal Concept Analysis to determine conceptual proximity between people. We explain how FCA can support market analysts in their task of CRM marketing and management, with the automatic discovery of knowledge in large amounts of enterprise information (e.g. document collections). The temporal evolution of this proximity measure may be analyzed, and provides significant insights on trends and market behavior. This approach has been exemplified with a case study on Twitter with an emphasis on content dynamics within user communities.
机译:在企业决策过程中,特别是在产品设计和CRM中,分析所有可用的和相关的客户信息是一项主要任务。在本文中,我们提出了基于形式概念分析的措施来确定人与人之间的概念接近度。我们将说明FCA如何通过自动发现大量企业信息(例如文档收集)中的知识来支持市场分析师执行CRM营销和管理任务。可以分析这种接近度度量的时间演变,并提供有关趋势和市场行为的重要见解。这种方法已在Twitter上的案例研究中得到了例证,重点是用户社区内的内容动态。

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