Social Media Mining: An Introduction

The growth of social media over the last decade has revolutionized the way individuals interact and industries conduct business. Individuals produce data at an unprecedented rate by interacting, sharing, and consuming content through social media. Understanding and processing this new type of data to glean actionable patterns presents challenges and opportunities for interdisciplinary research, novel algorithms, and tool development. Social Media Mining integrates social media, social network analysis, and data mining to provide a convenient and coherent platform for students, practitioners, researchers, and project managers to understand the basics and potentials of social media mining. It introduces the unique problems arising from social media data and presents fundamental concepts, emerging issues, and effective algorithms for network analysis and data mining. Suitable for use in advanced undergraduate and beginning graduate courses as well as professional short courses, the text contains exercises of different degrees of difficulty that improve understanding and help apply concepts, principles, and methods in various scenarios of social media mining.

過去十年來，社交媒體的快速發展徹底改變了個人互動和行業經營的方式。通過社交媒體，個人以前所未有的速度產生數據，通過互動、分享和消費內容。理解和處理這種新型數據以獲取可行的模式，為跨學科研究、新算法和工具開發提供了挑戰和機會。

《社交媒體挖掘》整合了社交媒體、社交網絡分析和數據挖掘，為學生、從業人員、研究人員和項目經理提供了一個方便而統一的平台，以了解社交媒體挖掘的基礎和潛力。它介紹了社交媒體數據所產生的獨特問題，並提出了網絡分析和數據挖掘的基本概念、新興問題和有效算法。

本書適用於高年級本科生、初級研究生課程以及專業短期課程，內容包含不同難度的練習，有助於理解並應用社交媒體挖掘的概念、原則和方法在各種場景中。