Identifying the events that connect social media users : charting follower accession on Twitter / Axel Bruns & Darryl Woodford
データ種別 | 電子書籍 |
---|---|
出版者 | London : SAGE Publications |
出版年 | 2014 |
書誌詳細を非表示
書誌ID | OB00841516 |
---|---|
本文言語 | 英語 |
一般注記 | Includes bibliographical references License restrictions may limit access Recent research efforts have taken advantage of functionality provided by Twitter's Application Programming Interface to develop methodologies to extract information that allows us to understand the growth of Twitter, its geographic spread and the processes by which particular Twitter users have attracted followers. From politicians to sporting teams, and from YouTube personalities to reality television stars, this technique enables us to gain an understanding of what prompts users to follow others on Twitter. This article outlines how we came upon this approach, describes the method we adopted to produce accession graphs and discusses their use in Twitter research. It also addresses the wider ethical implications of social network analytics, particularly in the context of a detailed study of the Twitter user base Specialized Description based on online resource; title from home page (viewed on November 10, 2015) |
著者標目 | *Bruns, Axel 1970- Woodford, Darryl |
統一書名標目 | SAGE research methods. Cases. |
件 名 | LCSH:Twitter LCSH:Online social networks -- Research -- Case studies 全ての件名で検索 |
分 類 | LCC:HM743.T95 DC23:302.30285 |
巻冊次 | ebook ; ISBN:9781473949072 ; PRICE:No price RefWorks出力(各巻) |
資料種別 | 機械可読データファイル |
目次・あらすじ
類似資料
この資料の利用統計
このページへのアクセス回数:3回
※2020年8月16日以降