本課程旨在培養學生對社群運算技術及其在服務創新中的應用能力。隨著數位化和社交媒體的普及，社群運算已成為連結人群、分析行為模式和促進創新服務的重要工具。本課程的目標是讓學生掌握如何運用社群運算的方法，解決實際生活中的問題，並設計創新服務以滿足多元需求。

課程內容涵蓋社群網路分析的基本概念與技術，包括社群結構、節點影響力等核心理論。學生將學習如何利用工具進行資料處理與視覺化，並應用於實際案例，例如分析社交媒體趨勢與探索社群互動模式。

透過專題實作和案例分析，學生應用所學技術於實際問題中，例如電子商務應用發展、共享經濟服務創新等領域。

This course aims to cultivate students' abilities in social computing technology and its application in service innovation. With the popularity of digitalization and social media, social computing has become an important tool for connecting people, analyzing behavioral patterns and promoting innovative services. The goal of this course is to enable students to master how to use social computing methods to solve real-life problems and design innovative services to meet diverse needs.

The course content covers the basic concepts and techniques of social network analysis, including core theories such as community structure and node influence. Students will learn how to use tools for data processing and visualization and apply them to real-life cases, such as analyzing social media trends and exploring community interaction patterns.

Through thematic implementation and case analysis, students apply the technologies they have learned to practical problems, such as e-commerce application development, sharing economy service innovation and other fields.

本課程旨在培養學生對社群運算技術及其在服務創新中的應用能力。隨著數位化和社交媒體的普及，社群運算已成為連結人群、分析行為模式和促進創新服務的重要工具。本課程的目標是讓學生掌握如何運用社群運算的方法，解決實際生活中的問題，並設計創新服務以滿足多元需求。

課程內容涵蓋社群網路分析的基本概念與技術，包括社群結構、節點影響力等核心理論。學生將學習如何利用工具進行資料處理與視覺化，並應用於實際案例，例如分析社交媒體趨勢與探索社群互動模式。

透過專題實作和案例分析，學生應用所學技術於實際問題中，例如電子商務應用發展、共享經濟服務創新等領域。

This course aims to cultivate students' abilities in social computing technology and its application in service innovation. With the popularity of digitalization and social media, social computing has become an important tool for connecting people, analyzing behavioral patterns and promoting innovative services. The goal of this course is to enable students to master how to use social computing methods to solve real-life problems and design innovative services to meet diverse needs.

The course content covers the basic concepts and techniques of social network analysis, including core theories such as community structure and node influence. Students will learn how to use tools for data processing and visualization and apply them to real-life cases, such as analyzing social media trends and exploring community interaction patterns.

Through thematic implementation and case analysis, students apply the technologies they have learned to practical problems, such as e-commerce application development, sharing economy service innovation and other fields.

自行準備講義教材

Prepare your own teaching materials