The graph represents a network of 12,528 Twitter users whose recent tweets contained "#ENGGER until:2022-09-27", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Wednesday, 28 September 2022 at 08:59 UTC.
The tweets in the network were tweeted over the 3-hour, 35-minute period from Monday, 26 September 2022 at 20:22 UTC to Monday, 26 September 2022 at 23:57 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 : 12528
Unique Edges : 12489
Edges With Duplicates : 7463
Total Edges : 19952
Number of Edge Types : 5
Retweet : 6649
MentionsInRetweet : 1052
Tweet : 10717
Mentions : 1162
Replies to : 372
Self-Loops : 10794
Reciprocated Vertex Pair Ratio : 0.00379779989523311
Reciprocated Edge Ratio : 0.00756686236138291
Connected Components : 6813
Single-Vertex Connected Components : 6241
Maximum Vertices in a Connected Component : 4710
Maximum Edges in a Connected Component : 9310
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.034682
Graph Density : 4.88408638872602E-05
Modularity : 0.501587
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 12,528 Twitter users whose recent tweets contained "#ENGGER until:2022-09-27", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Wednesday, 28 September 2022 at 08:59 UTC.
The tweets in the network were tweeted over the 3-hour, 35-minute period from Monday, 26 September 2022 at 20:22 UTC to Monday, 26 September 2022 at 23:57 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 : TwitterSearch
Graph Term : #ENGGER until:2022-09-27
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 Color : In-Degree
Vertex Radius : In-Degree
Vertex Alpha : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[787] harry,maguire [781] #engger,#nationsleague [720] world,cup [630] #nationsleague,#engger [614] england,germany [502] mason,mount [461] kai,havertz [457] nick,pope [456] england,#engger [396] harry,kane Top Word Pairs in Tweet in G1:
[351] world,cup [261] #engger,#nationsleague [245] game,#engger [233] nick,pope [168] harry,maguire [136] pope,#engger [134] england,#engger [132] england,germany [131] cup,#engger [123] harry,kane Top Word Pairs in Tweet in G2:
[213] dfb,philipp [213] philipp,reinhard [201] #engger,dfb [180] 90,min [170] kaihavertz29,#engger [148] min,die [148] die,punkte [148] punkte,werden [148] werden,geteilt [148] geteilt,#engger Top Word Pairs in Tweet in G3:
[241] harry,maguire [167] mason,mount [154] brilliant,goal [135] chelsea,boys [128] world,cup [123] #engger,england [121] england,player [121] group,stage [118] groovevinylstore,etsy [118] etsy,#vinyl Top Word Pairs in Tweet in G4:
[400] #nationsleague,#engger [175] maguire,le [174] le,pénalty [165] le,ballon [164] du,score [162] pénalty,de [162] de,l'ouverture [162] l'ouverture,du [162] score,et [162] et,perd Top Word Pairs in Tweet in G5:
[256] #bbcfootball,#engger [107] world,cup [106] england,germany [80] #telegraphfootball,#engger [79] kai,havertz [69] cup,#bbcfootball [68] mason,mount [63] ft,england [63] harry,kane [62] strike,england Top Word Pairs in Tweet in G6:
[304] feel,harry [304] harry,mistake [304] mistake,being [304] being,punished [304] punished,scrutinised [304] scrutinised,territory [304] territory,strong [304] strong,mentally [304] mentally,playing [304] playing,games Top Word Pairs in Tweet in G7:
[63] bukayo,saka [52] jude,bellingham [50] #engger,#nationsleague [37] #eng,#engger [36] mason,mount [36] duels,won [31] #nationsleague,#eng [30] pass,accuracy [29] chance,created [26] running,superlatives Top Word Pairs in Tweet in G8:
[94] weaknesses,ve [93] ve,defending [93] defending,#engger [27] gareth,southgate [26] southgate,dinner [26] dinner,#engger [22] harry,maguire [18] coming,home [18] home,party [18] party,started Top Word Pairs in Tweet in G9:
[102] kai,#havertz [102] oliver,bierhoff [98] #havertz,player [98] player,score [98] score,brace [98] brace,german [98] german,national [98] national,team [98] team,wembley [98] wembley,oliver Top Word Pairs in Tweet in G10:
[50] timo,werner [41] dass,die [25] gut,dass [25] die,frauennationalmannschaft [25] frauennationalmannschaft,existiert [25] existiert,#engger [25] #engger,#nationsleague [22] nicht,mehr [20] werner,der [20] der,kindheit Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
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 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 G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: