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One Day in the Life of a National Twittersphere Cover

One Day in the Life of a National Twittersphere

By: Axel Bruns and  Brenda Moon  
Open Access
|Jun 2019

Figures & Tables

Figure 1

Follower–followee network among the best-connected accounts in the Australian TwittersphereComment: Selected clusters labelled according to their thematic focus (reproduced from Bruns et al., 2017)
Follower–followee network among the best-connected accounts in the Australian TwittersphereComment: Selected clusters labelled according to their thematic focus (reproduced from Bruns et al., 2017)

Figure 2a

Tweets and unique accounts per hourSource: TrISMA (Bruns et al., 2016).
Tweets and unique accounts per hourSource: TrISMA (Bruns et al., 2016).

Figure 2b

Tweet types and hashtagged tweets per hourSource: TrISMA (Bruns et al., 2016).
Tweet types and hashtagged tweets per hourSource: TrISMA (Bruns et al., 2016).

Figure 3

Tweets using one of the top 25 hashtags as a percentage of all the tweets using at least one such hashtagSource: TrISMA (Bruns et al., 2016).
Tweets using one of the top 25 hashtags as a percentage of all the tweets using at least one such hashtagSource: TrISMA (Bruns et al., 2016).

Figure 4

Network of @mention and retweet interactions for accounts with degree ≥10Comment: Force Atlas 2 algorithm, Louvain modularity detection (resolution 0.5). Selected clusters are labelled following qualitative interpretation.Source: TrISMA (Bruns et al., 2016).
Network of @mention and retweet interactions for accounts with degree ≥10Comment: Force Atlas 2 algorithm, Louvain modularity detection (resolution 0.5). Selected clusters are labelled following qualitative interpretation.Source: TrISMA (Bruns et al., 2016).

Figure 5

Tweeting activity by accounts in ten major interactivity network clusters over the course of the daySource: TrISMA (Bruns et al., 2016).
Tweeting activity by accounts in ten major interactivity network clusters over the course of the daySource: TrISMA (Bruns et al., 2016).

Distribution of tweeting activity across different tweet types and styles, 22 March 2017

TweetsPercentage of tweetsUnique accountsPercentage of accounts
Total1,294,569100176,737100
Original tweets427,53733101,78558
@mentions422,8953393,26053
Retweets555,0034388,75250
Hashtag301,4052372,67241
No hashtag993,16477104,06559
URL695,28254136,59977
No URL599,2874640,13822
Twitter.com URL365,9952884,26348
Non-Twitter.com URL369,1772990,04451

Key metrics for selected clusters in the interaction network

ClusterActive accountsTweetsHashtaggedOriginal@mentionsRetweetsURL tweets
Phatic sharing2,44088,9125%23%25%56%48%
Australian politics1,66367,49335%13%37%71%47%
Right-wing politics1,06738,02323%14%43%57%48%
Progressive netizens96324,84410%23%51%33%37%
US politics94134,00122%12%32%69%53%
Teen culture93836,60614%20%39%53%48%
Health and indigenous61111,96640%17%38%65%55%
Energy and environment59710,73344%16%44%59%56%
Science4938,09048%16%56%56%55%
DOI: https://doi.org/10.2478/nor-2019-0011 | Journal eISSN: 2001-5119 | Journal ISSN: 1403-1108
Language: English
Page range: 11 - 30
Published on: Jun 28, 2019
Published by: University of Gothenburg Nordicom
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2019 Axel Bruns, Brenda Moon, published by University of Gothenburg Nordicom
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.