The graph represents a network of 244 Twitter users whose recent tweets contained "list:1502231041003642880", 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, 08 April 2022 at 19:02 UTC.
The tweets in the network were tweeted over the 8-day, 3-hour, 49-minute period from Thursday, 31 March 2022 at 14:22 UTC to Friday, 08 April 2022 at 18:12 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 : 245
Unique Edges : 408
Edges With Duplicates : 1895
Total Edges : 2303
Number of Edge Types : 5
Mentions : 222
Retweet : 874
Tweet : 816
MentionsInRetweet : 278
Replies to : 113
Self-Loops : 816
Reciprocated Vertex Pair Ratio : 0.0896130346232179
Reciprocated Edge Ratio : 0.164485981308411
Connected Components : 6
Single-Vertex Connected Components : 2
Maximum Vertices in a Connected Component : 225
Maximum Edges in a Connected Component : 2205
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 2.829971
Graph Density : 0.00894948143191703
Modularity : 0.171069
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 244 Twitter users whose recent tweets contained "list:1502231041003642880", 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, 08 April 2022 at 19:02 UTC.
The tweets in the network were tweeted over the 8-day, 3-hour, 49-minute period from Thursday, 31 March 2022 at 14:22 UTC to Friday, 08 April 2022 at 18:12 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 : list:1502231041003642880
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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[85] с,в [58] иностранных,дел [57] kiev,regime [52] россии,в [44] fm,#lavrov [41] mid_rf,с [39] в,ходе [38] на,украине [35] western,media [34] в,связи Top Word Pairs in Tweet in G1:
[11] nuclear,power [11] director,general [8] senior,russian [8] russian,officials [8] kaliningrad,#russia [6] fm,#lavrov [6] kiev,regime [6] president,xi [5] security,council [5] atrocity,propaganda Top Word Pairs in Tweet in G2:
[10] security,council [7] human,rights [7] kiev,regime [7] western,media [6] neo,nazis [6] false,flag [6] bucha,hoax [6] patrick,lancaster [5] unsc,meeting [5] press,conference Top Word Pairs in Tweet in G3:
[79] с,в [48] иностранных,дел [41] mid_rf,с [40] россии,в [38] в,ходе [32] замглавы,mid_rf [31] в,лаврова [29] россии,и [29] в,#лавров [28] в,в Top Word Pairs in Tweet in G4:
[32] kiev,regime [20] russian,defence [20] defence,ministry [20] fm,#lavrov [18] western,media [16] foreign,minister [16] russian,servicemen [15] минобороны,россии [15] regime,western [13] мирных,жителей Top Word Pairs in Tweet in G5:
[7] director,departamento [7] departamento,américa [7] américa,latina [5] militares,rusos [5] latina,cancillería [5] cancillería,rusa [4] fuerzas,ucranianas [4] ciudad,bucha [4] ministerio,defensa [4] régimen,kiev Top Word Pairs in Tweet in G6:
[4] journalist,reiste [4] raketenangriff,bahnhof [4] bahnhof,kramatorsk [2] verteidigungsministerium,dementiert [2] dementiert,anschuldigungen [2] anschuldigungen,kiewer [2] kiewer,regimes [2] regimes,wegen [2] wegen,angeblicher [2] angeblicher,tötungen Top Word Pairs in Tweet in G7:
[13] affaires,étrangères [9] sergueï,lavrov [7] avril,2022 [5] fédération,russie [5] secrétaire,général [5] russe,affaires [5] moscou,avril [4] ministre,affaires [4] étrangères,fédération [4] déclaration,ministère Top Word Pairs in Tweet in G8:
[3] fédération,#russie [3] cérémonie,commémorative [3] #россия,#дрк [3] alexey,#sentebov [3] #drcongo,#russiadrc [3] #russiadrc,#russiaafrica [3] #russieafrique,#rdc [3] #rdc,#rdcongo [3] #rdcongo,#russierdc [2] goma,drc Top Word Pairs in Tweet in G9:
[3] forças,armadas [3] operação,militar [3] militar,especial [2] armadas,rússia [2] rússia,continuarão [2] continuarão,operação [2] especial,até [2] até,completar [2] completar,todas [2] todas,tarefas Top Word Pairs in Tweet in G10:
[2] апреля,с [2] с,г [2] встретился,с [2] с,послом Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
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 G6:
Top Mentioned in G8:
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: