Identifying the events that connect social media users : charting follower accession on Twitter / Axel Bruns & Darryl Woodford.

• 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. 

Ämnesord

Online social networks  -- Research -- Case studies. (LCSH)

Titel

Twitter.

Målgrupp

Specialized.

Klassifikation

HM743.T95 (LCC)

302.30285 (DDC)

Oaa (kssb/8 (machine generated))