The graph represents a network of 6,792 Twitter users whose recent tweets contained "#Ramstein", 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, 20 January 2023 at 12:51 UTC.
The tweets in the network were tweeted over the 9-day, 22-hour, 37-minute period from Tuesday, 10 January 2023 at 13:55 UTC to Friday, 20 January 2023 at 12:33 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 : 6792
Unique Edges : 11577
Edges With Duplicates : 2670
Total Edges : 14247
Number of Edge Types : 5
Retweet : 7408
Replies to : 608
Tweet : 1354
MentionsInRetweet : 3641
Mentions : 1236
Self-Loops : 1410
Reciprocated Vertex Pair Ratio : 0.0069192181283515
Reciprocated Edge Ratio : 0.0137433430682013
Connected Components : 579
Single-Vertex Connected Components : 429
Maximum Vertices in a Connected Component : 5906
Maximum Edges in a Connected Component : 13231
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.615454
Graph Density : 0.000252403973318112
Modularity : 0.661263
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 6,792 Twitter users whose recent tweets contained "#Ramstein", 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, 20 January 2023 at 12:51 UTC.
The tweets in the network were tweeted over the 9-day, 22-hour, 37-minute period from Tuesday, 10 January 2023 at 13:55 UTC to Friday, 20 January 2023 at 12:33 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 : #Ramstein
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:
[582] lieferung,von [512] lloyd,austin [496] für,die [487] kremlin,lose [481] hundreds,tanks [470] #ramstein,war [467] common,weapon [467] vehicles,tanks [467] weapon,like [467] war,started Top Word Pairs in Tweet in G1:
[333] für,die [246] die,#ukraine [205] vor,dem [186] der,#ukraine [178] lloyd,austin [164] die,ukraine [161] treffen,#ramstein [152] treffen,der [137] der,kanzler [137] contact,group Top Word Pairs in Tweet in G2:
[279] #ramstein,base [278] #ramstein,air [230] nato,#ramstein [228] news,soldiers [228] chevrons,stay [228] international,support [228] soldiers,chevrons [228] symbol,international [228] units,#ramstein [228] bring,great Top Word Pairs in Tweet in G3:
[108] #austin,erscheint [108] #general,lloyd [108] und,#general [108] #ramstein,#verteidigungsminister [108] breitbeinig,#deutschland [108] #verteidigungsminister,und [108] das,#imperium [108] erscheint,breitbeinig [108] hält,hof [108] lloyd,#austin Top Word Pairs in Tweet in G4:
[402] hundreds,tanks [401] kremlin,lose [400] vehicles,tanks [400] speed,time [400] armored,vehicles [400] delays,hundreds [400] like,air [400] common,weapon [400] hundreds,hundreds [400] defense,artillery Top Word Pairs in Tweet in G5:
[396] planners,#ramstein [396] intelligence,services [396] services,military [396] #ramstein,#germany [396] military,equipment [396] conducting,war [396] military,planners [396] war,#ukraine [396] 30,nations [312] victory,30 Top Word Pairs in Tweet in G6:
[364] lieferung,von [360] die,#ampel [357] von,#leopard2 [357] besinnung,kommen [357] zur,besinnung [357] #leopard2,panzern [355] #ramstein,der [355] kommen,und [354] dann,#kampfjets [354] deutsche,soldaten Top Word Pairs in Tweet in G7:
[24] air,base [23] #ramstein,air [19] 2023,#ramstein [15] #ukraine,#ramstein [14] für,die [14] job,germany [13] #ramstein,#leopard2 [12] january,20 [12] die,#ukraine [11] #ramstein,#nato Top Word Pairs in Tweet in G8:
[71] countdown,#ramstein [49] #ramstein,conference [48] lloyd,austin [29] head,pentagon [28] meeting,#ramstein [26] pentagon,lloyd [26] war,ukraine [25] 16,fighters [25] ukraine,16 [25] longer,range Top Word Pairs in Tweet in G9:
[112] réunion,de [105] de,la [103] aujourd,hui [101] hui,#ramstein [93] la,réunion [83] #ramstein,pour [83] ne,peut [83] moyens,militaires [83] les,moyens [83] qu,vivre Top Word Pairs in Tweet in G10:
[36] wasted,2022 [36] waste,2023 [36] production,replace [36] comment,#ramstein [36] ukraine,wasted [36] debates,waste [36] 2022,endless [36] sustain,long [36] upping,ecfr [36] defence,production Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G5:
Top Replied-To in G6:
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:
Top Mentioned in G5:
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Top Mentioned in G7:
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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:
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Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: