The graph represents a network of 6,700 Twitter users whose tweets in the requested range contained "EFL OR "English Football League"", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 11 October 2021 at 11:34 UTC.
The requested start date was Monday, 11 October 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 4-day, 4-hour, 0-minute period from Wednesday, 06 October 2021 at 20:00 UTC to Monday, 11 October 2021 at 00:00 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 : 6700
Unique Edges : 6469
Edges With Duplicates : 11419
Total Edges : 17888
Number of Edge Types : 5
Retweet : 4217
MentionsInRetweet : 6639
Tweet : 1404
Replies to : 1582
Mentions : 4046
Self-Loops : 1437
Reciprocated Vertex Pair Ratio : 0.0323679727427598
Reciprocated Edge Ratio : 0.0627062706270627
Connected Components : 875
Single-Vertex Connected Components : 417
Maximum Vertices in a Connected Component : 4489
Maximum Edges in a Connected Component : 13724
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.761218
Graph Density : 0.000229528577444172
Modularity : 0.483632
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 6,700 Twitter users whose tweets in the requested range contained "EFL OR %22English Football League%22", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 11 October 2021 at 11:34 UTC.
The requested start date was Monday, 11 October 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 4-day, 4-hour, 0-minute period from Wednesday, 06 October 2021 at 20:00 UTC to Monday, 11 October 2021 at 00:00 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 : GraphServerTwitterSearch
Graph Term : EFL OR %22English Football League%22
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:
[667] efl,cup [510] europa,league [495] world,cup [489] cup,europa [487] league,world [484] coppa,italia [482] serie,coppa [482] italia,supercoppa [481] supercoppa,italiana [481] italiana,efl Top Word Pairs in Tweet in G1:
[108] manager,month [91] swansofficial,efl [71] #skybetchampionship,manager [65] scott,parker [61] points,unbeaten [61] unbeaten,games [61] games,scott [61] parker,claims [61] claims,#skybetchampionship [61] month,prize Top Word Pairs in Tweet in G2:
[87] darrell,clarke [82] points,successive [82] successive,victories [82] victories,darrell [82] clarke,september's [82] september's,#skybetleaguetwo [82] #skybetleaguetwo,manager [81] skybetleaguetwo,points [81] manager,mont [79] #efl,#skybetleaguetwo Top Word Pairs in Tweet in G3:
[469] efl,cup [468] world,cup [467] serie,coppa [467] coppa,italia [467] italia,supercoppa [467] supercoppa,italiana [467] italiana,efl [467] cup,europa [467] europa,league [467] league,world Top Word Pairs in Tweet in G4:
[225] player,month [123] skybetchamp,top [123] top,scorer [123] scorer,player [123] month,chile [123] chile,international [123] international,benbreo [123] benbreo,story [123] story,rolls [123] rolls,#efl Top Word Pairs in Tweet in G5:
[36] efl,cup [33] premier,league [33] #esl,#efl [23] 2021,22 [22] #topscorers,#efl [21] 22,09 [21] 09,10 [18] league,teams [17] efl,championship [16] efl,trophy Top Word Pairs in Tweet in G6:
[178] coventry_city,efl [160] faspokesperson,coventry_city [46] mental,health [28] health,day [28] andy_cov93,faspokesperson [27] world,mental [22] faspokesperson,theposh [22] theposh,efl [20] charity,partner [16] efl,clubs Top Word Pairs in Tweet in G7:
[227] premier,league [223] following,sacking [223] sacking,southend [223] southend,yesterday [223] yesterday,phil [223] phil,brown [223] brown,sacked [223] sacked,premier [222] footballlforall,following [16] efl,trophy Top Word Pairs in Tweet in G8:
[24] asfcofficial,lcfc [23] premierleague,efl [21] calling,pep [21] pep,mancity [21] mancity,away [21] away,attendance [21] attendance,asfcofficial [21] lcfc,u21 [21] u21,game [21] game,000 Top Word Pairs in Tweet in G9:
[111] newcastle,fans [111] fans,don [111] don,try [111] try,telling [111] telling,fans [111] fans,clubs [111] clubs,bolton [111] bolton,bradford [111] bradford,portsmouth [111] portsmouth,leeds Top Word Pairs in Tweet in G10:
[138] 10,years [135] narrative,newcastle [135] newcastle,united [135] united,fans [135] fans,endured [135] endured,10 [135] years,endless [135] endless,misery [135] misery,suffering [135] suffering,pretty Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G7:
Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: