The graph represents a network of 10,478 Twitter users whose recent tweets contained "wagner and ukraine", 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 Tuesday, 20 September 2022 at 11:36 UTC.
The tweets in the network were tweeted over the 8-day, 23-hour, 5-minute period from Sunday, 11 September 2022 at 11:42 UTC to Tuesday, 20 September 2022 at 10:48 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 : 10478
Unique Edges : 12592
Edges With Duplicates : 649
Total Edges : 13241
Number of Edge Types : 5
Replies to : 640
Retweet : 10872
Mentions : 838
MentionsInRetweet : 431
Tweet : 460
Self-Loops : 479
Reciprocated Vertex Pair Ratio : 0.00144334856867934
Reciprocated Edge Ratio : 0.00288253663223637
Connected Components : 347
Single-Vertex Connected Components : 173
Maximum Vertices in a Connected Component : 9674
Maximum Edges in a Connected Component : 12495
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 4.079705
Graph Density : 0.000113765957818545
Modularity : 0.750955
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 10,478 Twitter users whose recent tweets contained "wagner and ukraine", 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 Tuesday, 20 September 2022 at 11:36 UTC.
The tweets in the network were tweeted over the 8-day, 23-hour, 5-minute period from Sunday, 11 September 2022 at 11:42 UTC to Tuesday, 20 September 2022 at 10:48 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 : wagner and ukraine
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:
[2902] serve,months [2899] russian,prison [2887] prigozhin,russian [2881] arrive,ukraine [2880] ukraine,decide [2878] decide,execute [2868] months,arrive [2866] bars,serve [2864] prison,camp [2823] recruitment,talk Top Word Pairs in Tweet in G1:
[2355] serve,months [2355] arrive,ukraine [2355] ukraine,decide [2355] decide,execute [2351] time,video [2351] video,emerges [2351] emerges,recruitment [2351] recruitment,talk [2351] talk,wagner [2351] wagner,prigozhin Top Word Pairs in Tweet in G2:
[1576] wagner,spreading [1576] spreading,message [1576] message,calling [1576] calling,people [1576] people,europe [1576] europe,ukraine [1576] ukraine,join [1576] join,fight [1576] fight,nato [1576] nato,forces Top Word Pairs in Tweet in G3:
[589] happened,wagner [589] wagner,recruited [589] recruited,convicts [589] convicts,signed [589] signed,contracts [589] contracts,prison [589] prison,fight [589] fight,ukraine [589] ukraine,training [589] training,bakhmut Top Word Pairs in Tweet in G4:
[515] wagner,group [511] war,ukraine [511] ukraine,limited [511] chechen,fighters [511] fighters,wagner [507] people,understand [507] understand,russia [507] russia,war [507] ukraine,witnessing [507] witnessing,ukraine Top Word Pairs in Tweet in G5:
[346] private,military [346] military,company [345] oligarch,prigozhin [342] video,#russia [342] #russia,oligarch [342] prigozhin,close [342] close,putin [342] putin,runs [342] runs,wagner [342] wagner,private Top Word Pairs in Tweet in G6:
[262] founder,wagner [261] convicted,felon [261] felon,#prigozhin [261] #prigozhin,founder [261] wagner,#nazi [261] #nazi,group [261] group,closest [261] closest,#putin's [261] #putin's,friend [261] friend,recruiting Top Word Pairs in Tweet in G7:
[302] wagner,group [272] war,ukraine [265] personal,data [264] data,mercenaries [260] website,wagner [260] group,gathers [260] gathers,russian [260] ukraine,hacked [260] mercenaries,executioner [260] executioner,murderer Top Word Pairs in Tweet in G8:
[104] wagner,mercenaries [99] fighting,ukraine [95] foreign,volunteer [95] volunteer,fighting [95] ukraine,speaking [95] speaking,anonymously [95] anonymously,told [95] told,mee [95] mee,wagner [95] prisoner,30 Top Word Pairs in Tweet in G9:
[184] wagner,group [179] wagner,pmc [167] personal,data [162] data,mercenaries [161] private,military [161] military,company [154] company,wagner [154] russian,prisons [153] website,russia's [153] russia's,private Top Word Pairs in Tweet in G10:
[333] war,ukraine [330] prisoners,war [329] wagner,pmc [329] prisoners,fight [325] prigozhin,owner [325] owner,wagner [325] pmc,putin's [325] putin's,cook [325] cook,commented [325] commented,video Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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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:
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Top Tweeters in G10: