The graph represents a network of 6,706 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 13:24 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, 7-minute period from Wednesday, 06 October 2021 at 19:53 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 : 6706
Unique Edges : 6472
Edges With Duplicates : 11425
Total Edges : 17897
Number of Edge Types : 5
Retweet : 4222
MentionsInRetweet : 6648
Tweet : 1404
Replies to : 1578
Mentions : 4045
Self-Loops : 1437
Reciprocated Vertex Pair Ratio : 0.0323388065678815
Reciprocated Edge Ratio : 0.0626515371932887
Connected Components : 875
Single-Vertex Connected Components : 418
Maximum Vertices in a Connected Component : 4499
Maximum Edges in a Connected Component : 13744
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.772161
Graph Density : 0.000229318163773335
Modularity : 0.483981
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 6,706 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 13:24 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, 7-minute period from Wednesday, 06 October 2021 at 19:53 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:
[668] 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:
[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 G5:
[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 G6:
[178] coventry_city,efl [160] faspokesperson,coventry_city [42] mental,health [28] andy_cov93,faspokesperson [24] health,day [23] world,mental [22] faspokesperson,theposh [22] theposh,efl [19] 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:
[112] newcastle,fans [112] fans,don [112] don,try [112] try,telling [112] telling,fans [112] fans,clubs [112] clubs,bolton [112] bolton,bradford [112] bradford,portsmouth [112] 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:
Top Replied-To in G3:
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Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
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:
Top Tweeters in G6:
Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: