Identifying the events that connect social media users : charting follower accession on Twitter /

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 hav...

Full description

Saved in:
Bibliographic Details
Main Authors: Bruns, Axel, 1970- (Author), Woodford, Darryl (Author)
Format: Electronic eBook
Language:English
Published: [London] : SAGE, 2014.
Series:SAGE research methods. Cases.
Subjects:
Online Access:CONNECT

MARC

LEADER 00000nam a2200000 i 4500
001 mig00004921234
003 StDuBDS
005 20160601101312.0
006 m||||||||d||||||||
007 cr |||||||||||
008 151110s2014 enka fob 000|0|eng|d
020 |a 9781473949072 (ebook) :  |c No price 
035 0 0 |a ocm00004256 
040 |a StDuBDS  |b eng  |c StDuBDS  |e rda  |e pn 
050 4 |a HM743.T95 
082 0 4 |a 302.30285  |2 23 
100 1 |a Bruns, Axel,  |d 1970-  |e author. 
245 1 0 |a Identifying the events that connect social media users :  |b charting follower accession on Twitter /  |c Axel Bruns & Darryl Woodford. 
264 1 |a [London] :  |b SAGE,  |c 2014. 
300 |a 1 online resource :  |b illustrations (colour). 
336 |a text  |b txt  |2 rdacontent 
336 |a still image  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a SAGE research methods. Cases 
504 |a Includes bibliographical references. 
520 8 |a 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. 
521 |a Specialized. 
588 |a Description based on online resource; title from home page (viewed on November 10, 2015). 
630 0 0 |a Twitter. 
650 0 |a Online social networks  |x Research  |v Case studies. 
700 1 |a Woodford, Darryl,  |e author. 
730 0 |a SAGE Research Methods 
830 0 |a SAGE research methods. Cases. 
856 4 0 |z CONNECT  |u https://ezproxy.mtsu.edu/login?url=http://methods.sagepub.com/case/identifying-events-connect-social-media-users-follower-accession-twitter  |t 0 
907 |a 3268499  |b 06-01-21  |c 06-24-16 
998 |a wi  |b 06-24-16  |c m  |d z   |e -  |f eng  |g enk  |h 0  |i 1 
999 f f |i 1a6a8a05-6e2f-4dc9-ad9f-d07bc08631d6  |s 86726389-e91a-424e-a313-998a2fd63f98  |t 0 
952 f f |a Middle Tennessee State University  |b Main  |c James E. Walker Library  |d Electronic Resources  |t 0  |e HM743.T95  |h Library of Congress classification 
856 4 0 |t 0  |u https://ezproxy.mtsu.edu/login?url=http://methods.sagepub.com/case/identifying-events-connect-social-media-users-follower-accession-twitter  |z CONNECT