论文标题
社交网络采矿（SNM）：资源与SNA之间关系的定义
Social Network Mining (SNM): A Definition of Relation between the Resources and SNA
论文作者
论文摘要
社交网络采矿（SNM）已成为大数据议程的主要主题之一。因此，我们可以从不同的信息来源中提取社交网络，但是信息源正在动态地增长，需要一种灵活的方法。为了确定适当的方法需要数据工程以获取与数据关联的行为。每个社交网络都有资源和信息源，但是资源和信息源之间的关系需要解释。本文旨在通过使用统计计算来解释进化机制来解决社交网络增长中社交网络分析（SNA）的一部分的行为。为了代表SNA的分析单元，本文仅考虑一个顶点的程度，在该节点中，它是SNA中所有分析的核心，它是定义SNM中资源与SNA之间关系的基础。社交网络资源的增长有很大的影响。总的来说，资源的行为具有积极影响。因此，不同的信息来源的行为相似，并且与SNA有关系。
Social Network Mining (SNM) has become one of the main themes in big data agenda. As a resultant network, we can extract social network from different sources of information, but the information sources were growing dynamically require a flexible approach. To determine the appropriate approach needs the data engineering in order to get the behavior associated with the data. Each social network has the resources and the information source, but the relationship between resources and information sources requires explanation. This paper aimed to address the behavior of the resource as a part of social network analysis (SNA) in the growth of social networks by using the statistical calculations to explain the evolutionary mechanisms. To represent the analysis unit of the SNA, this paper only considers the degree of a vertex, where it is the core of all the analysis in the SNA and it is basic for defining the relation between resources and SNA in SNM. There is a strong effect on the growth of the resources of social networks. In total, the behavior of resources has positive effects. Thus, different information sources behave similarly and have relations with SNA.
