The graph represents a network of 5,676 Twitter users whose tweets in the requested range contained "statedept", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 21 June 2022 at 00:34 UTC.
The requested start date was Tuesday, 21 June 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 1-day, 0-hour, 45-minute period from Sunday, 19 June 2022 at 23:15 UTC to Tuesday, 21 June 2022 at 00:01 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 : 5676
Unique Edges : 17671
Edges With Duplicates : 24399
Total Edges : 42070
Number of Edge Types : 5
Replies to : 2045
Mentions : 16110
MentionsInRetweet : 18657
Retweet : 5211
Tweet : 47
Self-Loops : 147
Reciprocated Vertex Pair Ratio : 0.00591462702828904
Reciprocated Edge Ratio : 0.0117596998181889
Connected Components : 7
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 5665
Maximum Edges in a Connected Component : 42056
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.679444
Graph Density : 0.000802544448687262
Modularity : 0.406899
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 5,676 Twitter users whose tweets in the requested range contained "statedept", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 21 June 2022 at 00:34 UTC.
The requested start date was Tuesday, 21 June 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 1-day, 0-hour, 45-minute period from Sunday, 19 June 2022 at 23:15 UTC to Tuesday, 21 June 2022 at 00:01 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 : GraphServerTwitterSearch
Graph Term : statedept
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:
[634] europarl_en,statedept [633] statedept,10downingstreet [633] 10downingstreet,joebiden [622] simon_ekpa,europarl_en [551] statedept,secblinken [527] joebiden,understand [527] understand,lasting [527] lasting,peace [527] peace,sahel [527] sahel,region Top Word Pairs in Tweet in G1:
[448] statedept,sfrcdems [435] statedept,secblinken [278] عصبة,الأمم [262] food,medical [241] 19,months [239] without,food [232] life,3m [232] 3m,people [232] people,forcibly [232] forcibly,displaced Top Word Pairs in Tweet in G2:
[599] europarl_en,statedept [598] statedept,10downingstreet [598] 10downingstreet,joebiden [587] simon_ekpa,europarl_en [496] joebiden,understand [496] understand,lasting [496] lasting,peace [496] peace,sahel [496] sahel,region [495] region,exte Top Word Pairs in Tweet in G3:
[504] alex,saab [282] statedept,statespeha [208] potus,statedept [99] saab,#diplomaticodelapaz [92] statespeha,statedept [86] joebiden,statedept [81] statedept,potus [70] statedept,secblinken [65] 738,días [63] free,alex Top Word Pairs in Tweet in G4:
[323] real_ipobdos,statedept [321] euinnigeria,real_ipobdos [319] statedept,ukinnigeria [291] #biafra,#ipob [291] #ipob,secures [291] secures,liaison [291] liaison,office [291] office,#catalonia [291] #catalonia,#spain [291] #spain,euinnigeria Top Word Pairs in Tweet in G5:
[314] ilhanmn,statedept [196] american,media [195] statedept,won [195] won,independent [195] independent,investigation [195] investigation,american [195] media,associated [195] associated,press [194] press,cnn [194] cnn,wa Top Word Pairs in Tweet in G6:
[101] spief,statedept [101] statedept,rusembusa [100] embassyofrussia,rusembindia [100] rusembindia,embsergio [91] rusembusa,russianembassy [91] russianembassy,embassyofrussia [84] mfa_russia,spief [77] embsergio,embrusiamexico [10] mfa_russia,russianembassy [10] russianembassy,spief Top Word Pairs in Tweet in G7:
[30] usabilaraby,statedept [24] usembassybogota,statedept [21] colombiaembusa,usembassybogota [21] statedept,cancilleriacol [21] cancilleriacol,senatormenendez [20] senatormenendez,senatorrisch [18] pinzonbueno,colombiaembusa [14] thepromisedimam,gcaw [14] gcaw,theatlantic [14] theatlantic,cnnbrk Top Word Pairs in Tweet in G8:
[42] united,states [34] statedept,stateprm [32] covid,19 [29] 19,vaccine [23] statedept,cultureatstate [22] gavi,#covax [20] statedept,week [20] week,united [20] states,partnered [20] partnered,gavi Top Word Pairs in Tweet in G9:
[32] houseforeign,sfrcdems [30] joebiden,houseforeign [30] sfrcdems,statedept [29] dept,green [28] statedept,bidenstate [28] bidenstate,dept [28] green,light [27] light,2its [25] 2its,lap [25] lap,dog Top Word Pairs in Tweet in G10:
[84] statedept,travelgov [82] dear,statedept [82] travelgov,ukhomeoffice [82] ukhomeoffice,please [82] please,cease [82] cease,desist [82] desist,granting [82] granting,travel [82] travel,privileges [82] privileges,burnaboy Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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