The graph represents a network of 6,502 Twitter users whose recent tweets contained "Magath", 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 Monday, 14 March 2022 at 16:04 UTC.
The tweets in the network were tweeted over the 8-day, 2-hour, 19-minute period from Sunday, 06 March 2022 at 13:27 UTC to Monday, 14 March 2022 at 15:47 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 : 6502
Unique Edges : 7531
Edges With Duplicates : 2920
Total Edges : 10451
Number of Edge Types : 5
Replies to : 1620
Retweet : 3109
Tweet : 4014
Mentions : 1419
MentionsInRetweet : 289
Self-Loops : 4041
Reciprocated Vertex Pair Ratio : 0.0129847029526859
Reciprocated Edge Ratio : 0.0256365232660228
Connected Components : 2180
Single-Vertex Connected Components : 1743
Maximum Vertices in a Connected Component : 3064
Maximum Edges in a Connected Component : 6063
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 4.837833
Graph Density : 0.000134730709626056
Modularity : 0.586155
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 6,502 Twitter users whose recent tweets contained "Magath", 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 Monday, 14 March 2022 at 16:04 UTC.
The tweets in the network were tweeted over the 8-day, 2-hour, 19-minute period from Sunday, 06 March 2022 at 13:27 UTC to Monday, 14 March 2022 at 15:47 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 : Magath
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:
[2390] felix,magath [691] felix,#magath [450] hertha,bsc [405] magath,trainiert [375] #gemeinsamhertha,#hahohe [324] tayfun,korkut [266] pal,dardai [259] #magath,#hertha [246] korkut,felix [241] #hahohe,#magath Top Word Pairs in Tweet in G1:
[461] felix,magath [134] hertha,bsc [102] magath,hertha [78] felix,#magath [63] #hahohe,#magath [62] hertha,berlin [59] #magath,#hahohe [56] #magath,#hertha [51] trainer,hertha [40] #papuaindonesia,viny Top Word Pairs in Tweet in G2:
[347] felix,#magath [247] #gemeinsamhertha,#hahohe [191] felix,magath [171] laufenden,saison [170] #magath,laufenden [170] saison,cheftrainer [170] cheftrainer,lizenzmannschaft [170] lizenzmannschaft,#gemeinsamhertha [49] hertha,bsc [44] hertha,berlin Top Word Pairs in Tweet in G3:
[141] felix,magath [95] #magath,#hertha [73] alte,dame [71] #hahohe,#magath [68] #hertha,#hahohe [67] hertha,trainer [59] magath,neuer [59] neuer,hertha [58] langersehnter,titel [58] titel,alte Top Word Pairs in Tweet in G4:
[112] 2000,years [70] years,ago [59] one,of [57] theo,magath [43] keith,shadis [42] way,name [42] name,keith [42] shadis,yours [42] yours,theo [40] thank,way Top Word Pairs in Tweet in G5:
[154] felix,magath [123] magath,trainiert [118] egal,hart [118] hart,trainiert [118] trainiert,felix [118] trainiert,hertha [117] hertha,#hahohe [117] #hahohe,#sorrynotsorry [12] #magath,#hahohe [7] worst,case Top Word Pairs in Tweet in G6:
[108] felix,magath [51] hertha,fan [50] davie,selke [49] fan,erwacht [49] erwacht,koma [49] koma,berlin [49] berlin,bar [49] bar,besucht [49] besucht,bestellt [49] bestellt,pils Top Word Pairs in Tweet in G7:
[144] felix,magath [44] magath,fulham [44] ht,5livesport [35] part,ht [30] fulham,box [30] box,set [30] set,part [25] hertha,bsc [22] magath,beben [21] beben,45 Top Word Pairs in Tweet in G8:
[158] felix,magath [153] tayfun,korkut [152] pal,dardai [152] magath,trainiert [151] reminder,suart [151] suart,serdar [151] serdar,david [151] david,wagner [151] wagner,manuel [151] manuel,baum Top Word Pairs in Tweet in G9:
[89] felix,magath [42] felix,#magath [21] hertha,berlin [19] hertha,bsc [17] magath,hertha [17] former,coach [12] trainer,hertha [11] neuer,trainer [10] arbeitete,felix [10] #magath,zuletzt Top Word Pairs in Tweet in G10:
[146] felix,magath [97] erfolg,felix [97] magath,packst [11] davie,selke [9] erfolg,aufgabe [9] aufgabe,felix [7] selke,wochenende [7] wochenende,hackentor [7] hackentor,grafite [7] grafite,bayern Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: