The graph represents a network of 5,932 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, 04 April 2022 at 11:35 UTC.
The requested start date was Monday, 04 April 2022 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, 6-hour, 5-minute period from Wednesday, 30 March 2022 at 17:52 UTC to Sunday, 03 April 2022 at 23:58 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 : 5932
Unique Edges : 5425
Edges With Duplicates : 11672
Total Edges : 17097
Number of Edge Types : 5
Tweet : 1804
Retweet : 3575
MentionsInRetweet : 5593
Mentions : 4385
Replies to : 1740
Self-Loops : 1836
Reciprocated Vertex Pair Ratio : 0.0424137504637072
Reciprocated Edge Ratio : 0.0813760379596679
Connected Components : 1045
Single-Vertex Connected Components : 580
Maximum Vertices in a Connected Component : 3497
Maximum Edges in a Connected Component : 12442
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.397836
Graph Density : 0.000239606451945178
Modularity : 0.431925
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 5,932 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, 04 April 2022 at 11:35 UTC.
The requested start date was Monday, 04 April 2022 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, 6-hour, 5-minute period from Wednesday, 30 March 2022 at 17:52 UTC to Sunday, 03 April 2022 at 23:58 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:
[916] #efl,#papajohnstrophy [352] efl,trophy [335] gabsutton,efl [308] derby,county [271] weeks,away [269] jpercytelegraph,derby [269] county,weeks [269] away,liquidation [269] liquidation,time [269] time,statements Top Word Pairs in Tweet in G1:
[894] #efl,#papajohnstrophy [159] rufc,sufc [120] #papajohnstrophy,officialrufc [113] #suttonunited,#efl [112] sufc,#suttonunited [100] officialrufc,fans [100] fans,#efl [95] papajohnstrophy,officialrufc [79] stoppage,time [78] beauty,ogbene Top Word Pairs in Tweet in G2:
[327] gabsutton,efl [56] efl,lufc [46] years,ago [43] lufc,turning [43] turning,brilliant [43] brilliant,show [43] show,#onthisday [43] #onthisday,50 [43] 50,years [43] ago,#efl Top Word Pairs in Tweet in G3:
[117] efl,championship [103] free,bets [98] below,18 [98] 18,cs [86] #efl,#premierleague [83] cs,gambleawear [83] gambleawear,#horseracing [83] #horseracing,#efl [83] #premierleague,#football [81] link,below Top Word Pairs in Tweet in G4:
[258] derby,county [249] county,weeks [249] weeks,away [249] away,liquidation [249] liquidation,time [249] time,statements [249] statements,deadlines [249] deadlines,over [249] over,administrators [249] administrators,quantuma Top Word Pairs in Tweet in G5:
[71] #efl,#skybetchampionship [29] three,points [22] almajir,efl [21] girls,cup [21] wba,lvbet_com [20] south,hunsley [20] utilitafootball,girls [20] vong,pech [19] bcfc,#efl [19] lvbet_com,efl Top Word Pairs in Tweet in G6:
[46] league,two [39] #efl,#leaguetwo [37] #leaguetwo,#skybetleaguetwo [34] league2_central,league [33] port,vale [30] teams,last [30] last,games [30] #efl,#carabaocup [28] promotion,race [25] #skybetleaguetwo,promotion Top Word Pairs in Tweet in G7:
[43] efl,goalscorer [43] wycombe,wanderers [42] #chairboys,efl [42] #beastmodeon,darealakinfenwa [42] darealakinfenwa,wycombe [42] wanderers,mvp [41] wwfcofficial,time [41] time,#chairboys [41] goalscorer,242 [41] 242,career Top Word Pairs in Tweet in G8:
[128] 90,godden [128] godden,90 [32] mcfadzean,90 [32] 90,waghorn [32] waghorn,90 [32] 90,kane [32] kane,90 [32] 90,hyam [32] hyam,90 [32] #efl,#leagueone Top Word Pairs in Tweet in G9:
[37] league,clubs [36] efl,non [36] non,league [32] banning,gambling [32] gambling,sponsors [32] sponsors,shirts [30] teams,highest [30] highest,attendances [30] attendances,efl [30] efl,weekend Top Word Pairs in Tweet in G10:
[14] premierleague,efl [11] efl,papajohnstrophy [10] jobimcanuff7,leejohnsoncoach [9] papajohnstrophy,jobimcanuff7 [9] leejohnsoncoach,skyfootball [7] michelleowen7,efl [7] shamoonhafez,muslimchaplains [7] muslimchaplains,nujumsports [7] nujumsports,kickitout [7] kickitout,sportsdrzaf Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
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:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: