本課程講述社群網路基本概念與實際應用案例，從社群網路理論為基礎分析實際案例中的理論導入與加值創新。由探討案例中理解資料探勘、統計分析等技術應用概念。簡介現今相關社群網路基礎導論，包括社群偵測(Community Detection)、影響力擴散(Social Influence)、領導者(Social Leadership)、推薦系統(Social Recommendation)等議題，並介紹分析社群網路常見圖形化工具與導入雲端平台運算服務(AWS, Amazon Web Service)，以利學生課堂上學習與應用。課程主要分為兩部分，社群網路理論與應用導論、理論與技術的實作案例與展示。本課程可以提供學生了解社群網路概念與現今的創新應用技術，另一個重點是透過圖形化工具使學生實際摸索與探導社群網路的關聯分析。

This course describes the basic concepts and practical application cases of community networks, and analyzes the theoretical introduction and value-added innovation in actual cases from community network theory as a basis. Understand the concepts of technical application such as data exploration and statistical analysis from the explored cases. This paper introduces the current issues of community network infrastructure, including community detection, social leadership, social recommendation and other issues, and introduces the analysis of common graphics tools on the community network and the introduction of cloud platform computing services (AWS, Amazon Web Service) to facilitate students' learning and application in class. The course is mainly divided into two parts, community network theory and application discussion, theoretical theory and technology practical cases and presentation. This course can provide students with understanding the concept of community networks and today's innovative application technologies. Another focus is to enable students to explore and explore the relevant analysis of community networks through graphic tools.

1. Reza Zafarani, Mohammad Ali Abbasi, Huan Liu, 2014., “Social Media Mining: An Introduction”, Cambridge University Press
2. AWS Documentation, Official website of Amazon Web Service

1. Reza Zafarani, Mohammad Ali Abbasi, Huan Liu, 2014., “Social Media Mining: An Introduction”, Cambridge University Press
2. AWS Documentation, Official website of Amazon Web Service