The graph represents a network of 5,269 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, 26 October 2021 at 00:08 UTC.
The requested start date was Tuesday, 26 October 2021 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 20-hour, 41-minute period from Monday, 25 October 2021 at 03:16 UTC to Monday, 25 October 2021 at 23:57 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 : 5269
Unique Edges : 14225
Edges With Duplicates : 26004
Total Edges : 40229
Number of Edge Types : 5
Replies to : 1769
Retweet : 4620
MentionsInRetweet : 16483
Mentions : 17297
Tweet : 60
Self-Loops : 213
Reciprocated Vertex Pair Ratio : 0.00340914397795732
Reciprocated Edge Ratio : 0.00679512240528716
Connected Components : 27
Single-Vertex Connected Components : 11
Maximum Vertices in a Connected Component : 5214
Maximum Edges in a Connected Component : 40152
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.682883
Graph Density : 0.00077407244245903
Modularity : 0.340725
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 5,269 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, 26 October 2021 at 00:08 UTC.
The requested start date was Tuesday, 26 October 2021 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 20-hour, 41-minute period from Monday, 25 October 2021 at 03:16 UTC to Monday, 25 October 2021 at 23:57 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:
[1811] europarl_en,eucouncil [1639] statedept,europarl_en [489] textile,factory [460] statedept,senateforeign [454] horn,africa [450] sudan,fire [443] statedept,secblinken [441] fire,stable [441] key,stable [441] stable,horn Top Word Pairs in Tweet in G1:
[125] potus,vp [120] vp,statedept [95] statedept,secblinken [87] secblinken,statedept [80] statedept,potus [79] united,states [74] blindedbythel13,bananasnuts1 [74] superjollygree1,giantmooseballs [73] giantmooseballs,herebedragons19 [72] family,reunification Top Word Pairs in Tweet in G2:
[1731] europarl_en,eucouncil [1562] statedept,europarl_en [433] sudan,fire [425] fire,stable [425] key,stable [425] stable,horn [423] ethiopia,key [422] horn,africa [421] stable,ethiopia [421] africa,statedept Top Word Pairs in Tweet in G3:
[486] textile,factory [339] months,ago [278] almeda,textile [238] destroying,almeda [238] factory,months [223] video,shows [223] shows,abiyahmedali's [223] abiyahmedali's,soldiers [223] soldiers,destroying [211] factory,#tigray Top Word Pairs in Tweet in G4:
[219] statedept,usinnigeria [206] nnamdi,kanu [206] usinnigeria,ukinnigeria [204] unwatch,statedept [194] chinasanworu,ipob [193] ipob,ifeanyi [193] ifeanyi,ejiofor [193] ejiofor,roasts [193] roasts,malami [193] malami,over Top Word Pairs in Tweet in G5:
[113] statedept,statedeptspox [51] iranian,researchers [51] researchers,applicants [48] j1,visa [38] visa,interviewed [34] statedept,josepborrellf [31] ap,iranian [31] applicants,non [31] non,immigrant [31] immigrant,j1 Top Word Pairs in Tweet in G6:
[10] aaa_amhara,houseforeign [8] usambun,statedept [7] #tplfsurrendernow,#sanctioniswrong [7] please,save [7] save,uninbangladesh [7] uninbangladesh,usambun [7] statedept,religious [7] religious,minoritis [7] minoritis,bangladesh [7] bangladesh,islamist Top Word Pairs in Tweet in G7:
[5] statedept,russiaun [5] russiainusa,usembru [4] mfa_russia,ambrusslo [4] foreign,powers [4] powers,try [4] try,stop [4] stop,islamic [4] islamic,republic [4] republic,iran [4] iran,type Top Word Pairs in Tweet in G8:
[123] secblinken,statedept [87] hadyamr,secblinken [64] demand,israel [40] urge,hadyamr [40] statedept,demand [39] israel,revoke [38] social,media [38] media,storm [38] storm,urge [34] hadyamr,#standwiththe6 Top Word Pairs in Tweet in G9:
[17] statedept,secblinken [16] take,firm [16] firm,actions [16] actions,against [16] against,ugandan [16] ugandan,dictator [15] dictator,kagutamuseveni [15] kagutamuseveni,stop [15] stop,#silentgenocide [14] secblinken,take Top Word Pairs in Tweet in G10:
[68] recently,passed [68] passed,res [68] res,445 [68] 445,sponsored [68] sponsored,repkarenbass [68] repkarenbass,31 [68] 31,co [68] co,sponsors [68] sponsors,urges [68] urges,secblinken 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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