The graph represents a network of 5,555 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, 07 February 2022 at 14:26 UTC.
The requested start date was Monday, 07 February 2022 at 01:01 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 2-day, 11-hour, 27-minute period from Tuesday, 01 February 2022 at 18:35 UTC to Friday, 04 February 2022 at 06:03 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 : 5555
Unique Edges : 6367
Edges With Duplicates : 12840
Total Edges : 19207
Number of Edge Types : 5
Replies to : 2126
Mentions : 4992
Retweet : 4061
MentionsInRetweet : 6876
Tweet : 1152
Self-Loops : 1178
Reciprocated Vertex Pair Ratio : 0.0229287090558767
Reciprocated Edge Ratio : 0.0448295347523074
Connected Components : 771
Single-Vertex Connected Components : 408
Maximum Vertices in a Connected Component : 3320
Maximum Edges in a Connected Component : 15341
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.028993
Graph Density : 0.00034415396887186
Modularity : 0.418504
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 5,555 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, 07 February 2022 at 14:26 UTC.
The requested start date was Monday, 07 February 2022 at 01:01 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 2-day, 11-hour, 27-minute period from Tuesday, 01 February 2022 at 18:35 UTC to Friday, 04 February 2022 at 06:03 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:
[372] medical,emergencies [371] football,matches [366] efl,football [365] four,efl [364] last,weekend [363] weekend,four [363] matches,suspended [363] suspended,medical [363] emergencies,unheard [362] jannerdarren,last Top Word Pairs in Tweet in G1:
[135] donâ,care [131] boro,wycombe [110] efl,dcfcofficial [107] #savederbycounty,efl [90] #dcfc,#dcfcfans [83] john_forkin,efl [83] efl,efl_comms [77] efl,statement [74] derbycountyblog,efl [71] iâ,ve Top Word Pairs in Tweet in G2:
[154] team,week [152] #efl,#skybetchampionship [138] easportsfifa,team [138] week,âš [138] #efl,#totw20 [134] #totw20,#fifa22 [116] recent,performances [108] three,points [106] âš,#efl [85] #efl,#skybetleagueone Top Word Pairs in Tweet in G3:
[87] efl,skyfootball [62] john_forkin,compare [62] compare,contrast [62] contrast,10 [62] 10,000 [62] 000,people [62] people,march [62] march,passion [62] passion,personified [62] personified,empty Top Word Pairs in Tweet in G4:
[184] âž,âž [86] ãƒ,ム[44] live,stream [44] ø,ø [36] ø,ù [33] efl,cup [33] ù,ø [30] µï,µï [26] 2021,2022 [26] today,tue Top Word Pairs in Tweet in G5:
[364] four,efl [363] last,weekend [363] weekend,four [363] efl,football [363] football,matches [363] matches,suspended [363] suspended,medical [363] medical,emergencies [363] emergencies,unheard [362] jannerdarren,last Top Word Pairs in Tweet in G6:
[50] boro,wwfcofficial [47] wwfcofficial,efl [44] hcpmarkt,boro [41] raking5,robsc0tt [40] johnm_25,efl_comms [38] matt,bloomfield [36] robsc0tt,johnm_25 [35] efl,captain [35] captain,leader [35] leader,wwfcofficial Top Word Pairs in Tweet in G7:
[146] game,#dcfc [146] #htfc,#efl [123] derby,fans [112] fans,full [112] full,voice [112] voice,despite [112] despite,very [112] very,dull [112] dull,game [112] #dcfc,#htfc Top Word Pairs in Tweet in G8:
[183] champions,league [173] efl,cup [173] fa,cup [126] league,1x [113] edouard,mendy [109] 2020,edouard [109] mendy,reached [109] reached,finals [109] finals,efl [109] cup,fa Top Word Pairs in Tweet in G9:
[81] waynerooney,dcfcofficial [81] dcfcofficial,efl [81] efl,englandfootball [72] armbandmedia,waynerooney [5] armbandmedia,cityofderby [5] cityofderby,waynerooney [5] englandfootball,never [5] never,forgotten [5] forgotten,derby [5] derby,fans Top Word Pairs in Tweet in G10:
[35] efl,black [35] ðÿÿ,âš [27] rã,sultats [25] black,champions [18] esportfa_fr,division [18] division,efl [18] efl,hiver [18] hiver,š [18] âš,ðÿÿ [18] j1ï,⃠Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: