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网络,社区和地面的真理

Networks, communities and the ground-truth
课程网址: http://videolectures.net/solomon_leskovec_networks/  
主讲教师: Jure Leskovec
开课单位: 斯坦福大学
开课时间: 2012-02-23
课程语种: 英语
中文简介:
网络,社会,信息,细胞和大脑都可以作为复杂的交互网络来表示和研究。这种网络中的节点倾向于组织成集群和社区,这代表了理解复杂系统组织的基本结构。尽管网络社区的检测对计算机科学,社会学和生物学具有重要意义,但我们对大型网络社区结构的理解仍然有限。我们研究了一套200多个大型网络,旨在了解和识别网络中的社区。我们挑战网络社区结构的传统观点,并表明它不是由大型现实世界网络展示的。然后,我们提出了一种新的网络社区结构概念模型,可以可靠地捕获网络的整体结构,并准确地识别网络社区的重叠性。这是与Jaewon Yang的合作。
课程简介: The Web, society, information, cells and brain can all be represented and studied as complex networks of interactions. Nodes in such networks tend to organize into clusters and communities, which represent the fundamental structures for understanding the organization of complex systems. Even though detection of network communities is of significant importance for computer science, sociology and biology, our understanding of the community structure of large networks remains limited. We study a set of more than 200 large networks with the goal to understand and identify communities in networks. We challenge the conventional view of network community structure and show that it is not exhibited by the large real-world networks. We then present a new conceptual model of network community structure, which reliably captures the overall structure of networks and accurately identifies the overlapping nature of network communities. This is joint work with Jaewon Yang.
关 键 词: 计算机科学; 社会学; 生物学
课程来源: 视频讲座网
最后编审: 2020-06-29:yumf
阅读次数: 104