The graph represents a network of 227 Twitter users whose recent tweets contained "pupil absences", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Tuesday, 14 December 2021 at 22:56 UTC.
The tweets in the network were tweeted over the 7-day, 19-hour, 2-minute period from Monday, 06 December 2021 at 20:38 UTC to Tuesday, 14 December 2021 at 15:40 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 227
Unique Edges : 235
Edges With Duplicates : 6
Total Edges : 241
Number of Edge Types : 5
Retweet : 182
MentionsInRetweet : 5
Mentions : 13
Tweet : 26
Replies to : 15
Self-Loops : 26
Reciprocated Vertex Pair Ratio : 0.004739336492891
Reciprocated Edge Ratio : 0.00943396226415094
Connected Components : 26
Single-Vertex Connected Components : 14
Maximum Vertices in a Connected Component : 171
Maximum Edges in a Connected Component : 181
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.921862
Graph Density : 0.00413239249931777
Modularity : 0.612799
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 227 Twitter users whose recent tweets contained "pupil absences", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Tuesday, 14 December 2021 at 22:56 UTC.
The tweets in the network were tweeted over the 7-day, 19-hour, 2-minute period from Monday, 06 December 2021 at 20:38 UTC to Tuesday, 14 December 2021 at 15:40 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch
Graph Term : pupil absences
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[170] pupil,absences [148] staff,pupil [147] sweeps,country [147] country,high [147] high,levels [147] levels,staff [147] absences,reports [147] reports,parents [147] parents,planning [147] planning,keep Top Word Pairs in Tweet in G1:
[122] headteachers,warning [122] warning,chaos [122] chaos,england [122] england,schools [122] schools,omicron [122] omicron,sweeps [122] sweeps,country [122] country,high [122] high,levels [122] levels,staff Top Word Pairs in Tweet in G2:
[12] headteachers,warning [12] warning,chaos [12] chaos,england [12] england,schools [12] schools,omicron [12] omicron,sweeps [12] sweeps,country [12] country,high [12] high,levels [12] levels,staff Top Word Pairs in Tweet in G3:
[14] scrapping,school [14] school,'bubbles' [14] 'bubbles','cut [14] 'cut,absences [14] absences,increased [14] increased,pupil [14] pupil,sickness [14] sickness,rate' [4] pupil,absences [3] headteachers,warning Top Word Pairs in Tweet in G4:
[6] scrapping,school [6] reduced,absences [6] absences,increased [6] increased,pupil [6] pupil,sickness [6] sweeps,country [6] country,high [6] high,levels [6] levels,staff [6] staff,pupil Top Word Pairs in Tweet in G5:
[13] subjects,recruitment [13] recruitment,fell [13] fell,short [13] short,included [13] included,maths [13] maths,#geography [13] #geography,prompting [13] prompting,unions [13] unions,warn [13] warn,shortage Top Word Pairs in Tweet in G6:
[6] theipaper,story [6] story,final [6] final,pupil [6] pupil,attendance [6] attendance,data [6] data,term [3] scrapping,school [3] school,'bubbles' [3] 'bubbles','cut [3] 'cut,absences Top Word Pairs in Tweet in G7:
[9] staggers,ofsted [9] ofsted,asked [9] asked,inspectors [9] inspectors,report [9] report,schools [9] schools,staffing [9] staffing,pupil [9] pupil,absences [9] absences,causing [9] causing,untold Top Word Pairs in Tweet in G8:
[10] education,secretary [10] secretary,nadhim [10] nadhim,zahawi [7] pupil,absences [5] zahawi,launches [5] launches,attendance [5] attendance,alliance [5] alliance,education [5] zahawi,refused [5] refused,acknowledge Top Word Pairs in Tweet in G9:
[4] equivalent,300 [4] 300,classrooms [4] classrooms,pupils [4] pupils,missing [4] missing,schools [4] schools,called [4] called,govt [4] govt,hold [4] hold,debate [4] debate,issue Top Word Pairs in Tweet in G10:
[3] headteachers,warning [3] warning,chaos [3] chaos,schools [3] schools,omicron [3] omicron,sweeps [3] sweeps,country [3] country,high [3] high,levels [3] levels,staff [3] staff,pupil Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G2:
Top Mentioned in G6:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: