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，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 social networks, and analyzes the theoretical introduction and value-added innovation in practical cases based on social network theory. Understand technical application concepts such as data exploration and statistical analysis through case studies. An introduction to the basics of today's relevant social networks, including topics such as Community Detection, Social Influence, Social Leadership, and Recommendation Systems. It also introduces common graphical tools for analyzing social networks to facilitate students' learning and application in the classroom. The course is mainly divided into two parts, an introduction to social network theory and application, and practical cases and demonstrations of theory and technology. This course can provide students with an understanding of social network concepts and today's innovative application technologies. Another focus is to enable students to actually explore and explore the correlation analysis of social networks through graphical tools.

Social Media Mining: An Introduction
Authors: Reza Zafarani, Mohammad Ali Abbasi, Huan Liu
Publisher: Cambridge University Press
2014

Social Media Mining: An Introduction
Authors: Reza Zafarani, Mohammad Ali Abbasi, Huan Liu
Publisher: Cambridge University Press
2014