The graph represents a network of 6,580 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, 25 October 2021 at 13:27 UTC.
The requested start date was Monday, 25 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, 8-hour, 59-minute period from Wednesday, 20 October 2021 at 15:01 UTC to Monday, 25 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 : 6580
Unique Edges : 6979
Edges With Duplicates : 12043
Total Edges : 19022
Number of Edge Types : 5
Replies to : 1662
Mentions : 5441
Retweet : 3634
MentionsInRetweet : 6380
Tweet : 1905
Self-Loops : 1962
Reciprocated Vertex Pair Ratio : 0.0333432865532
Reciprocated Edge Ratio : 0.0645347717202851
Connected Components : 1149
Single-Vertex Connected Components : 582
Maximum Vertices in a Connected Component : 3785
Maximum Edges in a Connected Component : 14195
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.983404
Graph Density : 0.000239825437019604
Modularity : 0.459386
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 6,580 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, 25 October 2021 at 13:27 UTC.
The requested start date was Monday, 25 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, 8-hour, 59-minute period from Wednesday, 20 October 2021 at 15:01 UTC to Monday, 25 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:
[343] #efl,#skybetchampionship [288] efl,cup [197] ramstrust,efl [185] #esl,#efl [184] 18,cs [180] vavel_efl,vavel [179] efl,vavel_efl [173] jakebarker1212,ramstrust [167] west,ham [158] efl,championship Top Word Pairs in Tweet in G1:
[247] #efl,#skybetchampionship [91] team,midweek [91] midweek,powered [91] powered,whoscored [91] whoscored,ratings [91] ratings,#efl [84] #skybetchampionship,team [83] skybetchamp,#skybetchampionship [81] strike,worthy [81] worthy,winning Top Word Pairs in Tweet in G2:
[197] ramstrust,efl [180] vavel_efl,vavel [179] efl,vavel_efl [173] jakebarker1212,ramstrust [154] redfern_i_j,jakebarker1212 [68] scoots_n_boots,redfern_i_j [63] man,utd [52] efl,skyfootball [50] sjforsyth,redfern_i_j [39] ramsfan_jim,scoots_n_boots Top Word Pairs in Tweet in G3:
[79] efl,cup [66] oktober,2021 [65] efl,championship [46] 23,oktober [41] #esl,#efl [36] league,one [32] efl,league [24] one,23 [21] premier,league [21] championship,23 Top Word Pairs in Tweet in G4:
[71] #eflonquest,saturdays [54] 9pm,#efl [53] saturdays,9pm [52] #efl,#skybetchampionship [51] left,late [49] late,worth [49] worth,wait [49] wait,#efl [49] #efl,ipswichtown [48] #eflonquest,tonight Top Word Pairs in Tweet in G5:
[60] 52,minutes [60] minutes,59 [60] 59,minutes [60] minutes,matty [60] matty,daly's [60] daly's,stunner [60] stunner,capped [60] capped,remarkable [60] remarkable,turnaround [60] turnaround,official_hufc Top Word Pairs in Tweet in G6:
[83] sunderlandafc,cafcofficial [52] charltonlife,discoveryplusuk [51] cafcofficial,charltonlife [51] discoveryplusuk,efl_comms [49] questtv,rokerreport [49] rokerreport,sunderlandafc [44] paulthomase,questtv [25] questtv,plenty [25] plenty,drama [25] drama,dissect Top Word Pairs in Tweet in G7:
[46] chris,wilder [46] wilder,crowd [46] crowd,tonight [46] tonight,craven [46] craven,cottage [46] cottage,sitting [46] sitting,few [46] few,yards [46] yards,away [46] away,ready Top Word Pairs in Tweet in G8:
[131] #esl,#efl [108] #efl,#elt [101] #elt,#tesol [83] #tesol,#eal [83] #eal,#tefl [51] #tefl,#edtech [42] mwforlearners,idiom [40] pearls,wisdom [32] english,language [27] #edtech,#edapp Top Word Pairs in Tweet in G9:
[53] #efl,#carabaocup [20] tuesday,efl [19] efl,trophy [19] trophy,eds [19] eds,visit [19] visit,rotherham [19] rotherham,make [19] make,sure [19] sure,city [19] city,subscription Top Word Pairs in Tweet in G10:
[84] cardiff,city [84] city,touch [84] police,efl [62] breaking,cardiff [62] touch,metropolitan [62] metropolitan,police [62] efl,west [62] west,ham [62] ham,united [62] united,over Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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:
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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:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: