Community Mining(社区挖矿)研究综述
Community Mining 社区挖矿 - Based on the nodes’ embeddings, downstream network analytic tasks such as community mining, node classification, and link prediction, can then be easily implemented using traditional machine learning methods. [1] Unfortunately, most previous studies for community mining in temporal networks ignore the periodic patterns of communities. [2]基于节点的嵌入，可以使用传统的机器学习方法轻松实现下游网络分析任务，例如社区挖掘、节点分类和链接预测。 [1] 不幸的是，大多数先前关于时间网络中社区挖掘的研究都忽略了社区的周期性模式。 [2]
community mining algorithm 社区挖矿算法
Community discovery using topological structure of social network graph is a key issue in community mining algorithms. [1] Based on the community mining algorithm, the experiment studies the aggregation characteristics of geographic entities and can find areas that are close to each other and tightly related, which is more satisfied with people's common sense. [2] The proposed community mining algorithm is a two phase process that performs the evolutionary operations and detects the overlapping community. [3]利用社交网络图的拓扑结构进行社区发现是社区挖掘算法中的一个关键问题。 [1] 实验基于社区挖掘算法，研究地理实体的聚集特性，可以找到彼此接近、紧密相关的区域，更符合人们的常识。 [2] 所提出的社区挖掘算法是一个执行进化操作和检测重叠社区的两阶段过程。 [3]