The graph represents a network of 5,298 Twitter users whose recent tweets contained "#LIEGER", 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 Friday, 03 September 2021 at 10:17 UTC.
The tweets in the network were tweeted over the 6-day, 21-hour, 30-minute period from Friday, 27 August 2021 at 12:33 UTC to Friday, 03 September 2021 at 10:04 UTC.
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 : 5298
Unique Edges : 5914
Edges With Duplicates : 6288
Total Edges : 12202
Number of Edge Types : 5
Retweet : 5956
MentionsInRetweet : 1530
Tweet : 3933
Replies to : 166
Mentions : 617
Self-Loops : 3953
Reciprocated Vertex Pair Ratio : 0.000892060660124889
Reciprocated Edge Ratio : 0.0017825311942959
Connected Components : 1655
Single-Vertex Connected Components : 1523
Maximum Vertices in a Connected Component : 3424
Maximum Edges in a Connected Component : 9153
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 3.521114
Graph Density : 0.000199903746880379
Modularity : 0.411457
NodeXL Version : 1.0.1.446
Data Import : The graph represents a network of 5,298 Twitter users whose recent tweets contained "#LIEGER", 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 Friday, 03 September 2021 at 10:17 UTC.
The tweets in the network were tweeted over the 6-day, 21-hour, 30-minute period from Friday, 27 August 2021 at 12:33 UTC to Friday, 03 September 2021 at 10:04 UTC.
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 : #LIEGER
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[2674] #diemannschaft,#lieger [1498] hansi,#flick [1433] #lieger,#diemannschaft [845] #lieger,#gerarm [839] #gerarm,#islger [831] #islger,#diemannschaft [590] first,germany [581] bundestrainer,hansi [426] bursts,behind [426] behind,sticks Top Word Pairs in Tweet in G1:
[62] #lieger,#diemannschaft [49] hansi,flick [43] raus,#lieger [38] liechtenstein,#lieger [33] steffen,freund [30] #diemannschaft,#lieger [27] flick,raus [22] timo,werner [22] #lieger,#dfb [21] liechtenstein,deutschland Top Word Pairs in Tweet in G2:
[1146] #diemannschaft,#lieger [455] hansi,#flick [451] first,germany [387] timowerner,bursts [387] bursts,behind [387] behind,sticks [387] sticks,past [387] past,keeper [387] keeper,41' [387] 41',#diemannschaft Top Word Pairs in Tweet in G3:
[609] #lieger,#diemannschaft [495] hansi,#flick [428] bundestrainer,hansi [371] #lieger,#gerarm [368] #gerarm,#islger [368] #islger,#diemannschaft [339] kader,wm [339] wm,qualifikationsspiele [339] qualifikationsspiele,september [339] september,bundestrainer Top Word Pairs in Tweet in G4:
[899] #diemannschaft,#lieger [500] #lieger,#diemannschaft [311] hansi,#flick [99] joshua,#kimmich [75] #lieger,#gerarm [74] #gerarm,#islger [73] bundestrainer,hansi [70] #islger,#diemannschaft [58] first,germany [57] debüt,bundestrainer Top Word Pairs in Tweet in G5:
[161] #diemannschaft,#lieger [78] hansi,#flick [56] #lieger,#diemannschaft [33] #lieger,#gerarm [31] woodyinho,betritt [31] betritt,60 [31] 60,gespielten [31] gespielten,minuten [31] minuten,rasen [31] rasen,feiert Top Word Pairs in Tweet in G6:
[162] #diemannschaft,#lieger [87] hansi,#flick [44] pero,nos [44] nos,llevamos [42] el,primer [41] 90,3' [41] 3',un [41] un,hueso [41] hueso,duro [41] duro,roer Top Word Pairs in Tweet in G7:
[31] merkt,lewandowski [31] lewandowski,einwechseln [30] moment,merkt [30] einwechseln,#lieger [19] liechtenstein,#lieger [18] #lieger,#diemannschaft [14] 000,einwohner [13] liechtenstein,38 [13] 38,000 [13] einwohner,komplett Top Word Pairs in Tweet in G8:
[76] #goretzka,sitzt [76] sitzt,bank [76] bank,erzielt [76] erzielt,aussage [76] aussage,wichtigen [76] wichtigen,treffer [76] treffer,#lieger [4] #lieger,deutsche [2] #,liechtenstein [2] liechtenstein,deutschland Top Word Pairs in Tweet in G9:
[34] #diemannschaft,#lieger [32] #lieger,#diemannschaft [29] florian,wirtz [16] 18,aged [16] aged,18 [16] 18,years [16] years,122 [16] 122,days [16] days,florian [16] wirtz,third Top Word Pairs in Tweet in G10:
[5] irgendwie,fühlt [5] fühlt,merkwürdig [5] merkwürdig,deutsche [5] deutsche,bundestrainer [5] bundestrainer,30 [5] 30,spielminuten [5] spielminuten,einzigen [5] einzigen,popel [5] popel,gegessen [5] gegessen,#lieger Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
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 G10:
Top Mentioned in Entire Graph:
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:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: