分析和可視化社交媒體中的意見群體關係

Abstract

目前，社交網絡平台已逐漸形成人們傳遞信息不可或缺的渠道。 借助社交網絡平台，它們可以幫助用戶傳達自己的想法，並使社交平台上的文章內容多樣化。雖然可以加深民主思想，但也容易因為這樣的便利而產生仇恨。 由於信息量巨大，文章中總是充滿了用戶的不同觀點，這使得社會學家很難了解當前對某些事件的看法。 大多數人的想法都是支持或反對的，所以用戶的立場相對來說非常重要。本研究探討了台灣最具影響力的討論平台PTT論壇中不同意見群體之間的互動關係。 利用用戶反應和時間特徵的數據，我們識別有影響力的意見領袖並對群體進行分類。 我們通過單值分解 (SVD) 解決缺失數據的挑戰，並開發交互式可視化工具來觀察群體關係。 該研究增強了對社交媒體動態和輿論動態的理解。At present, social network platforms have gradually formed an indispensable channel for people to transmit information. Thanks to social network platforms, they can help users to convey their own ideas, and make the content of articles on social platforms diverse. Although it can deepen democratic thinking, it is easy to generate hatred because of such convenience. Because of the huge amount of information, the articles are always full of different opinions of users, which makes it difficult for sociologists to know the current opinions on certain events. Most people think for or against, so the user’s position is relatively very important.This research explores the interaction relationships among different opinion groups within the PTT forum, Taiwan’s most influential discussion platform. Using data from users’ reactions and temporal characteristics, we identify influential opinion leaders and classify groups. We address missing data challenges through singular Value Decomposition (SVD) and develop an interactive visualization tool to observe group relationships. The study enhances understanding of social media dynamics and opinion dynamics.