English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 113485/144472 (79%)
Visitors : 51390300      Online Users : 594
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/83573


    Title: 透過貼文分享以蒐集相關臉書粉絲頁之機制:以太陽花運動為例
    Collecting Related Facebook Pages via Shared Post: Sunflower Movement as an Example
    Authors: 林瑞程
    Lin, Ruei Cheng
    Contributors: 陳恭
    Chen, Kung
    林瑞程
    Lin, Ruei Cheng
    Keywords: 臉書
    粉絲頁
    Facebook
    Facebook Pages
    Date: 2015
    Issue Date: 2016-04-01 10:47:54 (UTC+8)
    Abstract: 近年來隨著Facebook的盛行,Facebook已成許多人紀錄生活或關注朋友近況不可或缺的管道。除了個人動態之外,公開的Facebook粉絲專頁作為名人或組織與廣大用戶之間的交流管道,彼此透過貼文、按讚、留言與分享等,進行密切的互動與交流。許多學者因此試圖透過Facebook應用程式介面(API)蒐集粉絲頁用戶的活動行為紀錄(如貼文、留言與轉貼等),進行研究分析,以期更理解人們透過粉絲頁進行的交流與訊息傳播活動。
    本研究即以粉絲頁間的貼文分享為出發點,尋找當公共議題事件發生時,粉絲頁間透過分享而產生的互相關聯性。為了驗證此一想法之可行性,我們設計與實作了一套「透過貼文分享以蒐集相關臉書粉絲頁之機制(Collecting Related Facebook Pages via Shared Post) 」系統,讓使用者可以針對其關注之公共議題事件設定原始種子粉絲頁及指定資料蒐集期間及設定相關蒐集參數。系統會透過Facebook 公司提供的應用程式介面,並自動蒐集種子粉絲頁指定期間之貼文、貼文留言、貼文按讚資料。每一次資料蒐集完成後系統會分析是否具有符合使用者指定條件的新粉絲頁,並將之加入新種子粉絲頁的行列,逐次推導出完整的粉絲頁關聯性。
    本研究以太陽花運動相關粉絲頁作為實驗對象,透過我們的系統分析種子粉絲頁裡的貼文分享,逐次找出多個性質相近的粉絲頁並建構出關聯性粉絲頁群組,所得結果符合實驗的目的。
    In recent years, Facebook has become a very popular social media with millions of users. Besides personal walls, many celebrities and organizations leverage the public Facebook pages to engage their fans for developing their brands or promoting their ideas. Due to their public nature, Facebook pages have become good targets of social communication research by scholars.
    In this thesis, we propose to investigate the relations among Facebook pages built by post sharing activity during public events. Toward this goal, we have designed and implemented a system for analyzing posts sharing among Facebook pages. It allows users to set initial seed pages, related parameters and duration of collection on the public events they concern. Our system will collect specified pages data (posts, comments, likes) of original seed pages through Facebook graph API. After the data collection period, the system will analyze whether the new pages fit the user specified criteria, and adding the new pages into the page pool for next stage of collection. In other words, our system will iteratively collect pages related by post sharing.
    As an evaluation of our system, we conducted an experiment based on the Sunflower Movement and use Facebook posts of seed pages to find new similar pages to construct groups of similar pages. The experimental results show that our system can collect many related pages and help scholars to group them by sharing in a meaningful way.
    Reference: 1.傅景華與陳仲康,香港明報,通識導賞﹕”佔領時代的facebook專頁版塊”,Dec 14, 2014.
    2.Wei-Ting Chang, Exploring the Relationships between Facebook Pages via Post Sharing on June, 2015.
    3.Facebook Graph API, from:https://developers.facebook.com/docs/graph-api, Accessed on Oct , 2015.
    4.Facebook SDK for JavaScript, from:https://developers.facebook.com/docs/javascript, Accessed on Oct, 2015.
    5.RestFB API, from:http://restfb.com/, Accessed on Oct, 2015.
    6.Oracle Corporation. MySQL, from:http://www.mysql.com/, Accessed on Oct, 2015.
    7.Microsoft. ASP.Net, from:http://www.asp.net/, Accessed on Oct, 2015.
    8.jQuery, from:http://jquery.com/, Accessed on Oct, 2015.
    9.AJAX, from:http://en.wikipedia.org/wiki/Ajax_(programming) , Accessed on Oct, 2015.
    10.Web Service, from:http://en.wikipedia.org/wiki/Web_service, Accessed on Oct, 2015.
    11.Quartz Scheduler, from: https://quartz-scheduler.org/, Accessed on Oct, 2015.
    12.HighCharts, from: http://www.highcharts.com/, Accessed on Oct, 2015.
    13.Hibernate, from: http://hibernate.org/ , Accessed on Oct, 2015
    14.Gephi, from: https://gephi.org/, Accessed on Jan, 2016
    Description: 碩士
    國立政治大學
    資訊科學系碩士在職專班
    102971016
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0102971016
    Data Type: thesis
    Appears in Collections:[資訊科學系碩士在職專班] 學位論文

    Files in This Item:

    There are no files associated with this item.



    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,惟仍請適度,合理使用本網站之內容,以尊重著作權人之權益。商業上之利用,則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作,已盡力防止侵害著作權人之權益,如仍發現本網站之數位內容有侵害著作權人權益情事者,請權利人通知本網站維護人員(nccur@nccu.edu.tw),維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback