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  1. NTU Theses and Dissertations Repository
  2. 電機資訊學院
  3. 資訊網路與多媒體研究所
Please use this identifier to cite or link to this item: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/18628
Title: 基於空間句法分析臉書使用者空間行為研究
Virtual Geography of Facebook: Analyzing Pattern of Facebook Usage Based on Space Syntax
Authors: Po-Yu Chen
陳柏佑
Advisor: 周承復(Cheng-Fu Chou)
Keyword: 社群網站,空間句法,分群,
Social networks,Facebook,Space syntax,Clustering,
Publication Year : 2014
Degree: 碩士
Abstract: 隨著近年來社群網站的蓬勃發展,社群網站的使用者使用這些社群網站來當作認識新朋友或者是跟舊朋友聯絡的工具,基本上這些社群網站某種程度上取代了傳統的一些社交場所,例如以前你可能會跟朋友約出去在咖啡廳聊天,而現在可能變成只在社群網站上傳遞訊息聊天。臉書作為世界上擁有最多使用者的社群網站,根據臉書統計,他們擁有數億的使用者,每天有數以億計的內容跟照片在上面被分享。由於這麼大的使用量,各個不同領域的專家都對臉書使用者與使用者之間的互動有興趣,而臉書也可以根據這些使用者互動的情形來對服務做一些調整。傳統在環境心理學方面對臉書做研究的方法往是設計問題來問使用者,這個方法會帶來額外的負擔同時也可能面臨一些潛在的問題,而相對的如果要從臉書使用者存在伺服器上面的資料來直接做分析的話又有可能看不到使用者內心的想法,我們在論文中設計了一個模型可以直接根據臉書使用者的數據來猜測這些臉書使用者心中可能將臉書視為一個什麼樣類型的空間,我們同時設計了一個問卷來比對我們預測出的結果,比對的結果顯現出我們預測的結果有不錯的準確率。
Online social networks had been more and more popular recent years, the users of these social networks used these social networks as a new way to meet new friends or maintain friendships with old friends. These social networks had replace some traditional places in the real world, for example, you might go out with your friends and chat with them in cafe, but you might just chat on these social networks now. Facebook, as the world’s largest online social network, there are billions and billions of contents been shared by Facebook users every day, due to the huge amount of traffic, researchers from different communities are interested in the behavior of Facebook users, Facebook can also adjust their policies based on the Facebook users’ behavior. Tradition environmental psychologists or psychologists used questionnaire to study Facebook users’ behavior, this method might have some potential risks, in contrast, analyze direct for Facebook users trace might not see into the Facebook users mind, we design a model to predict which type of space might Facebook users treat Facebook like directly by their trace, results showed that we have pretty good prediction accuracy.
URI: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/18628
Fulltext Rights: 未授權
Appears in Collections:資訊網路與多媒體研究所

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